Development of a metric to evaluate the ergonomic principles of assistive systems, based on the DIN 92419

References

• Aarts, Emile. 2005. “Ambient Intelligence.” In Proceedings of the 2005 Joint Conference on Smart Objects and Ambient Intelligence Innovative Context-Aware Services: Usages and Technologies - sOc-EUSAI '05. New York, NY: ACM Press.
   Google Scholar
• Abascal, Julio, and Colette Nicolle. 2005. “Moving Towards Inclusive Design Guidelines for Socially and Ethically Aware HCI.” Interacting with Computers 17 (5): 484–505. doi:10.1016/j.intcom.2005.03.002.
   Web of Science ®Google Scholar
• Ahmed, Tousif, Roberto Hoyle, Patrick Shaffer, Kay Connelly, David Crandall, and Apu Kapadia. 2017. “Understanding Physical Safety, Security, and Privacy Concerns of People with Visual Impairments.” IEEE Internet Computing 21: 56–63. doi:10.1109/MIC.2017.265103316.
   Web of Science ®Google Scholar
• Akter, Taslima, Tousif Ahmed, Apu Kapadia, and Swami Manohar Swaminathan. 2020a. “Privacy Considerations of the Visually Impaired With Camera Based Assistive Technologies: Misrepresentation, Impropriety, and Fairness.” In The 22nd International ACM SIGACCESS Conference on Computers and Accessibility. New York, NY: ACM. doi:10.1145/3373625.3417003.
   Google Scholar
• Akter, Taslima, Bryan Dosono, Tousif Ahmed, Apu Kapadia, and Bryan Semaan. 2020b. “I Am Uncomfortable Sharing What I Can’t See”: Privacy Concerns of the Visually Impaired with Camera Based Assistive Applications.” In 29th USENIX Security Symposium (USENIX Security 20), August, 1929–1948. Berkeley, CA: USENIX Association. https://www.usenix.org/conference/usenixsecurity20/presentation/akter.
   Google Scholar
• Aloulou, Hamdi, Mounir Mokhtari, Thibaut Tiberghien, Jit Biswas, and Philip Yap. 2014. “An Adaptable and Flexible Framework for Assistive Living of Cognitively Impaired People.” IEEE Journal of Biomedical and Health Informatics 18 (1): 353–360. doi:10.1109/JBHI.2013.2278473.
   PubMed Web of Science ®Google Scholar
• Ambrosini, Emilia, Simona Ferrante, Mauro Rossini, Franco Molteni, Margit Gf¨ohler, Werner Reichenfelser, Alexander Duschau-Wicke, Giancarlo Ferrigno, and Alessandra Pedrocchi. 2014. “Functional and Usability Assessment of a Robotic Exoskeleton Arm to Support Activities of Daily Life.” Robotica 32 (8): 1213–1224. doi:10.1017/S0263574714001891.
   Web of Science ®Google Scholar
• Andreetto, Marco, Stefano Divan, Francesco Ferrari, Daniele Fontanelli, Luigi Palopoli, and Domenico Prattichizzo. 2019. “Combining Haptic and Bang-Bang Braking Actions for Passive Robotic Walker Path Following.” IEEE Transactions on Haptics 12 (4): 542–553. doi:10.1109/TOH.2019.2912570.
   PubMed Web of Science ®Google Scholar
• Andriella, Antonio, Carme Torras, and Guillem Alenyà. 2020. “Short-Term Human–Robot Interaction Adaptability in Real-World Environments.” International Journal of Social Robotics 12 (3): 639–657. doi:10.1007/s12369-019-00606-y.
   Web of Science ®Google Scholar
• Angelo, Jennifer. 2000. “Factors Affecting the Use of a Single Switch with Assistive Technology Devices.” Journal of Rehabilitation Research & Development 37 (5): 591.
   PubMedGoogle Scholar
• Arthanat, Sajay, Momotaz Begum, Tianyi Gu, Dain P. LaRoche, Dongpeng Xu, and Naiqian Zhang. 2020. “Caregiver Perspectives on a Smart Home-Based Socially Assistive Robot for Individuals with Alzheimer’s Disease and Related Dementia.” Disability and Rehabilitation. Assistive Technology 15 (7): 789–798. doi:10.1080/17483107.2020.1753831.
   PubMed Web of Science ®Google Scholar
• Asghar, S., G. Edward Torrens, H. Iftikhar, R. Welsh, and R. Harland. 2020. “The Influence of Social Context on the Perception of Assistive Technology: using a Semantic Differential Scale to Compare Young Adults’ Views from the United Kingdom and Pakistan.” Disability and Rehabilitation. Assistive Technology 15 (5): 563–576. doi:10.1080/17483107.2019.1646819.
   PubMed Web of Science ®Google Scholar
• Atzori, Luigi, Antonio Iera, and Giacomo Morabito. 2010. “The Internet of Things: A Survey.” Computer Networks 54 (15): 2787–2805. doi:10.1016/j.comnet.2010.05.010.
   Web of Science ®Google Scholar
• Bailey, Catherine, Philip Hodgson, Dominic Aitken, and Gemma Wilson. 2018. Primary Research with Practitioners and People with Lived Experience-to Understand the Role of Home Adaptations in Improving Later Life. Technical Report. Newcastle upon Tyne, United Kingdom: Newcastle University.
   Google Scholar
• Balasubramanian, Gayathri Victoria, Paul Beaney, and Ruth Chambers. 2021. “Digital Personal Assistants Are Smart Ways for Assistive Technology to Aid the Health and Wellbeing of Patients and Carers.” BMC Geriatrics 21 (1): 1–10. doi:10.1186/s12877-021-02436-y.
   PubMed Web of Science ®Google Scholar
• Benloucif, M. A., C. Sentouh, J. Floris, P. Simon, and J. C. Popieul. 2019. “Online Adaptation of the Level of Haptic Authority in a Lane Keeping System considering the Driver’s State.” Transportation Research Part F: Traffic Psychology and Behaviour 61: 107–119. doi:10.1016/j.trf.2017.08.013.
   Web of Science ®Google Scholar
• Boldt, Robin. 2017. “Vibrotactile Motorcycle Navigation.” Master’s thesis, University of Stuttgart.
   Google Scholar
• Bonani, Mayara, Raquel Oliveira, Filipa Correia, André Rodrigues, Tiago Guerreiro, and Ana Paiva. 2018. “What My Eyes Can’t See, a Robot Can Show Me: Exploring the Collaboration Between Blind People and Robots.” In Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility, 15–27. New York, NY: Association for Computing Machinery.
   Google Scholar
• Borges, L. R., E. L. M. Naves, and A. A. R. Sa. 2021. “Usability Evaluation of an Electric-Powered Wheelchair Driven by Eye Tracking.” Universal Access in the Information Society: 1–10. doi:10.1007/s10209-021-00809-z.
   PubMed Web of Science ®Google Scholar
• Brooke, John. 1996. Sus: A Quick and Dirty’usability. Boca Raton, FL: Usability Evaluation in Industry..
   Google Scholar
• Burmeister, Oliver K. 2016. “The Development of Assistive Dementia Technology That Accounts for the Values of Those Affected by Its Use.” Ethics and Information Technology 18 (3): 185–198. doi:10.1007/s10676-016-9404-2.
   Web of Science ®Google Scholar
• Cavallo, Filippo, Michela Aquilano, and Marco Arvati. 2015. “An Ambient Assisted Living Approach in Designing Domiciliary Services Combined with Innovative Technologies for Patients with Alzheimer’s Disease: A Case Study.” American Journal of Alzheimer’s Disease and Other Dementias 30 (1): 69–77. doi:10.1177/1533317514539724.
   PubMed Web of Science ®Google Scholar
• Chen, Ke, and Alan Hoi Shou Chan. 2014. “Gerontechnology Acceptance by Elderly Hong Kong Chinese: A Senior Technology Acceptance Model (STAM).” Ergonomics 57 (5): 635–652. doi:10.1080/00140139.2014.895855.
   PubMed Web of Science ®Google Scholar
• Chung, Cheng-Shiu, Hyun W. Ka, Hongu Wang, Dan Ding, Annmarie Kelleher, and Rory A. Cooper. 2017a. “Performance Evaluation of a Mobile Touchscreen Interface for Assistive Robotic Manipulators: A Pilot Study.” Topics in Spinal Cord Injury Rehabilitation 23 (2): 131–139. doi:10.1310/sci2302-131.
   PubMed Web of Science ®Google Scholar
• Chung, Cheng-Shiu, Hongwu Wang, Matthew J. Hannan, Dan Ding, Annmarie R. Kelleher, and Rory A. Cooper. 2017b. “Task-Oriented Performance Evaluation for Assistive Robotic Manipulators: A Pilot Study.” American Journal of Physical Medicine & Rehabilitation 96 (6): 395–407. doi:10.1097/PHM.0000000000000634.
   PubMed Web of Science ®Google Scholar
• Colgan, Joanna C., Melissa J. Bopp, Brooke E. Starkoff, and Lauren J. Lieberman. 2016. “Fitness Wearables and Youths With Visual Impairments: Implications for Practice and Application.” Journal of Visual Impairment & Blindness 110 (5): 335–348. doi:10.1177/0145482X1611000505.
   Web of Science ®Google Scholar
• Collins, J. J., Thomas T. Imhoff, and Peter Grigg. 1997. “Noise-Mediated Enhancements and Decrements in Human Tactile Sensation.” Physical Review E 56 (1): 923–926. doi:10.1103/PhysRevE.56.923.
   Web of Science ®Google Scholar
• Czaja, Sara J., Neil Charness, Arthur D. Fisk, Christopher Hertzog, Sankaran N. Nair, Wendy A. Rogers, and Joseph Sharit. 2006. “Factors Predicting the Use of Technology: Findings from the Center for Research and Education on Aging and Technology Enhancement (Create).” Psychology and Aging 21 (2): 333–352. doi:10.1037/0882-7974.21.2.333.
   PubMed Web of Science ®Google Scholar
• Davis, F. D. 1985. “A Technology Acceptance Model for Empirically Testing New End-User Information Systems: Theory and Results.” PhD diss., Massachusetts Institute of Technology.
   Google Scholar
• Davis, Fred D. 1989. “Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology.” MIS Quarterly 13 (3): 319. doi:10.2307/249008.
   Web of Science ®Google Scholar
• Denning, Tamara, Cynthia Matuszek, Karl Koscher, Joshua R. Smith, and Tadayoshi Kohno. 2009. “A Spotlight on Security and Privacy Risks with Future Household Robots.” In Proceedings of the 11th International Conference on Ubiquitous Computing, September. New York, NY: ACM. doi:10.1145/1620545.1620564.
   Google Scholar
• DiDomenico, Angela, and Maury A. Nussbaum. 2008. “Interactive Effects of Physical and Mental Workload on Subjective Workload Assessment.” International Journal of Industrial Ergonomics 38 (11–12): 977–983. doi:10.1016/j.ergon.2008.01.012.
   Web of Science ®Google Scholar
• DIN 92419:2020-01 2020. Principles of the Ergonomic Design of Assistive Systems. Standard. Geneva,Switzerland: International Organization for Standardization.
   Google Scholar
• DIN ISO 9241-11:2018-03 2018. Ergonomics of Human-System Interaction — Part 11: Usability: Definitions and Concepts. Standard. Geneva, Switzerland: International Organization for Standardization. https://www.iso.org/standard/63500.html.
   Google Scholar
• Dirks, Susanne, and Christian Bühler. 2018. “Assistive Technologies for People with Cognitive Impairments – Which Factors Influence Technology Acceptance?” In Universal Access in Human-Computer Interaction. Methods, Technologies, and Users, 503–516. Basel, Switzerland: Springer International Publishing.
   Google Scholar
• Doherty, Eamon P., Gilbert Cockton, Chris Bloor, Joann Rizzo, Bruce Blondina, and Bruce Davis. 2002. “Yes/No or Maybe—Further Evaluation of an Interface for Brain-Injured Individuals.” Interacting with Computers 14 (4): 341–358. doi:10.1016/S0953-5438(02)00022-X.
   Web of Science ®Google Scholar
• Dragan, Anca D, and Siddhartha S. Srinivasa. 2013. “A Policy-Blending Formalism for Shared Control.” The International Journal of Robotics Research 32 (7): 790–805. doi:10.1177/0278364913490324.
   Web of Science ®Google Scholar
• Duncan, Brittany A., Evan Beachly, Alisha Bevins, Sebasitan Elbaum, and Carrick Detweiler. 2018. “Investigation of Communicative Flight Paths for Small Unmanned Aerial Systems.” In 2018 IEEE International Conference on Robotics and Automation (ICRA), May. New Jersey, NY: IEEE. doi:10.1109/ICRA.2018.8462871.
   Google Scholar
• Eisenman, Laura T. 2014. “Acceptance and Use of Assistive Technology: Perspectives of High School and College Students with High-Incidence Disabilities.” PhD diss., University of Delaware, School of Education. http://udspace.udel.edu/handle/19716/16818.
   Google Scholar
• Erdogan, A., and B. D. Argall. 2017. “The Effect of Robotic Wheelchair Control Paradigm and Interface on User Performance, Effort and Preference: An Experimental Assessment.” Robotics and Autonomous Systems 94: 282–297. https://www.sciencedirect.com/science/article/pii/S0921889016303670.
   Google Scholar
• EU. 2016. Regulation (EU) 2016/679 of the European Parliament and of the Council on the Protection of Natural Persons With Regard to the Processing of Personal Data and on the Free Movement of Such Data, and Repealing Directive 95/46/EC (General Data Protection Regulation). European Union.
   Google Scholar
• European Parliament, Council of the European Union. 2016. Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the Protection of Natural Persons With Regard to the Processing of Personal Data and on the Free Movement of Such Data, and Repealing Directive 95/46/EC (General Data Protection Regulation) (Text with EEA Relevance). Council of the European Union.
   Google Scholar
• Fletcher, Paul, Angeline Luther, Brittany Duncan, and Carrick Detweiler. 2021. “Investigation of Unmanned Aerial Vehicle Gesture Perceptibility and Impact of Viewpoint Variance.” In 2021 IEEE International Conference on Robotics and Automation (ICRA), 3531–3537. New York, NY: IEEE. doi:10.1109/ICRA48506.2021.9561094.
   Google Scholar
• Fridin, Marina, and Mark Belokopytov. 2014. “Acceptance of Socially Assistive Humanoid Robot by Preschool and Elementary School Teachers.” Computers in Human Behavior 33: 23–31. doi:10.1016/j.chb.2013.12.016.
   Web of Science ®Google Scholar
• Giudice, Nicholas A., Benjamin A. Guenther, Toni M. Kaplan, Shane M. Anderson, Robert J. Knuesel, and Joseph F. Cioffi. 2020. “Use of an Indoor Navigation System by Sighted and Blind Travelers: Performance Similarities Across Visual Status and Age.” ACM Transactions on Accessible Computing 13 (3): 1–27. doi:10.1145/3407191.
   Web of Science ®Google Scholar
• Goggin, Gerard, and Christopher Newell. 2007. “The Business of Digital Disability.” The Information Society 23 (3): 159–168. doi:10.1080/01972240701323572.
   Web of Science ®Google Scholar
• Gopinath, Deepak, Siddarth Jain, and Brenna D. Argall. 2017. “Human-in-the-Loop Optimization of Shared Autonomy in Assistive Robotics.” IEEE Robotics and Automation Letters 2 (1): 247–254. doi:10.1109/LRA.2016.2593928.
   PubMed Web of Science ®Google Scholar
• Gore, Brian F. 2011. “Man–Machine Integration Design and Analysis System (MIDAS) v5: Augmentations, Motivations, and Directions for Aeronautics Applications.” In Human Modelling in Assisted Transportation, 43–54. Milan: Springer.
   Google Scholar
• Gore, Brian F., Becky L. Hooey, Christopher D. Wickens, and Shelly Scott-Nash. 2009. “A Computational Implementation of a Human Attention Guiding Mechanism in MIDAS v5.” In Digital Human Modeling, edited by Vincent G. Duffy, 237–246. Berlin, Heidelberg: Springer.
   Google Scholar
• Graf, Eveline S., Christoph M. Bauer, Valerie Power, Adam de Eyto, Eliza Bottenberg, Tommaso Poliero, Matteo Sposito., et al. 2018. “Basic Functionality of a Prototype Wearable Assistive Soft Exoskeleton for People with Gait Impairments: A Case Study.” In Proceedings of the 11th Pervasive Technologies Related to Assistive Environments Conference, 202–207. New York, NY: Association for Computing Machinery. doi:10.1145/3197768.3197779.
   Google Scholar
• Grier, Rebecca A. 2015. “How High is High? A Meta-Analysis of NASA-TLX Global Workload Scores.” Proceedings of the Human Factors and Ergonomics Society Annual Meeting 59 (1): 1727–1731. doi:10.1177/1541931215591373.
   Google Scholar
• Halperin, Daniel, Thomas S. Heydt-Benjamin, Kevin Fu, Tadayoshi Kohno, and William H. Maisel. 2008. “Security and Privacy for Implantable Medical Devices.” IEEE Pervasive Computing 7 (1): 30–39. doi:10.1109/MPRV.2008.16.
   Web of Science ®Google Scholar
• Hamm, Julian, Arthur Money, and Anita Atwal. 2019. “Guidetomeasure-OT: A Mobile 3D Application to Improve the Accuracy, Consistency, and Efficiency of Clinician-Led Home-Based Falls-Risk Assessments.” International Journal of Medical Informatics 129: 349–365. https://www.sciencedirect.com/science/article/pii/S1386505618304337. doi:10.1016/j.ijmedinf.2019.07.004.
   PubMed Web of Science ®Google Scholar
• Harris, Maurita T., Kenny A. Blocker, and Wendy A. Rogers. 2017. “Understanding Older Adults’ Intentions to Use Healthcare Technologies: A Work in Progress.” Proceedings of the Human Factors and Ergonomics Society Annual Meeting 61 (1): 1778–1782. doi:10.1177/1541931213601926.
   Google Scholar
• Harrison, A., G. Derwent, A. Enticknap, FD. Rose, and EA. Attree. 2002. “The Role of Virtual Reality Technology in the Assessment and Training of Inexperienced Powered Wheelchair Users.” Disability and Rehabilitation 24 (11–12): 599–606. doi:10.1080/09638280110111360.
   PubMed Web of Science ®Google Scholar
• Hart, Sandra G. 2006. “Nasa-Task Load Index (NASA-TLX); 20 Years Later.” Proceedings of the Human Factors and Ergonomics Society Annual Meeting 50 (9): 904–908. doi:10.1177/154193120605000909.
   Google Scholar
• Hart, Sandra G., and Lowell E. Staveland. 1988. “Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research.” In Advances in Psychology, 139–183. North-Holland: Elsevier.
   Google Scholar
• Hashizume, Satoshi, Ippei Suzuki, Kazuki Takazawa, Ryuichiro Sasaki, and Yoichi Ochiai. 2018. “Telewheelchair: The Remote Controllable Electric Wheelchair System Combined Human and Machine Intelligence.” In Proceedings of the 9th Augmented Human International Conference, February. New York, NY: ACM.
   Google Scholar
• Heerink, M., B. Krse, V. Evers, and B. Wielinga. 2008. “Responses to a Social Robot by Elderly Users.” In 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, September. New York, NY: IEEE. doi:10.1109/IROS.2008.4651232.
   Google Scholar
• Heerink, Marcel, Ben Krose, Vanessa Evers, and Bob Wielinga. 2009. “Measuring Acceptance of an Assistive Social Robot: A Suggested Toolkit.” In RO-MAN 2009 - The 18th IEEE International Symposium on Robot and Human Interactive Communication, September. New York, NY: IEEE. doi:10.1109/ROMAN.2009.5326320.
   Google Scholar
• Heerink, Marcel, Ben Kröse, Vanessa Evers, and Bob Wielinga. 2010. “Assessing Acceptance of Assistive Social Agent Technology by Older Adults: The Almere Model.” International Journal of Social Robotics 2 (4): 361–375. doi:10.1007/s12369-010-0068-5.
   Web of Science ®Google Scholar
• Henrich, Joseph, Steven J. Heine, and Ara Norenzayan. 2010. “The Weirdest People in the World?” The Behavioral and Brain Sciences 33 (2–3): 61–83. doi:10.1017/S0140525X0999152X.
   PubMed Web of Science ®Google Scholar
• Hill, Susan G., Helene P. Iavecchia, James C. Byers, Alvah C. Bittner, Allen L. Zaklade, and Richard E. Christ. 1992. “Comparison of Four Subjective Workload Rating Scales.” Human Factors: The Journal of the Human Factors and Ergonomics Society 34 (4): 429–439. doi:10.1177/001872089203400405.
   Web of Science ®Google Scholar
• Hirani, Shashivadan P., Lorna Rixon, Michelle Beynon, Martin Cartwright, Sophie Cleanthous, Abi Selva, Caroline Sanders, and Stanton P. Newman. 2017. “Quantifying Beliefs regarding Telehealth: Development of the Whole Systems Demonstrator Service User Technology Acceptability Questionnaire.” Journal of Telemedicine and Telecare 23 (4): 460–469. doi:10.1177/1357633X16649531.
   PubMed Web of Science ®Google Scholar
• Holloway, Catherine. 2019. “Disability Interaction (DIX).” Interactions 26 (2): 44–49. doi:10.1145/3310322.
   Google Scholar
• Holloway, Catherine, and Helen Dawes. 2016. “Disrupting the World of Disability: The Next Generation of Assistive Technologies and Rehabilitation Practices.” Healthcare Technology Letters 3 (4): 254–256. doi:10.1049/htl.2016.0087.
   PubMed Web of Science ®Google Scholar
• Ikonen, Veikko, Eija Kaasinen, and Marketta Niemel. 2009. “Defining Ethical Guidelines for Ambient Intelligence Applications on a Mobile Phone.” In Intelligent Environments. Amsterdam, Netherlands: IOS Press.
   Google Scholar
• Indulska, Jadwiga, and Peter Sutton. 2003. “Location Management in Pervasive Systems.” In Proceedings of the Australasian Information Security Workshop Conference on ACSW Frontiers 2003, Vol. 21, 143–151. Sydney, Australia: Australian Computer Society, Inc.
   Google Scholar
• Iregui, Santiago, Joris De Schutter, and Erwin Aertbelien. 2021. “Reconfigurable Constraint Based Reactive Framework for Assistive Robotics with Adaptable Levels of Autonomy.” IEEE Robotics and Automation Letters 6 (4): 7397–7405. doi:10.1109/LRA.2021.3098950.
   Web of Science ®Google Scholar
• ISO 81001-1:2021-03. 2021. Health Software and Health IT Systems Safety, Effectiveness and Security — Part 1: Principles and Concepts. Standard. Geneva, Switzerland: International Organization for Standardization. https://www.iso.org/standard/74379.html.
   Google Scholar
• ISO/IEC TS 20748-4:2019-09. 2019. Information Technology for Learning, Education and Training — Learning Analytics Interoperability — Part 4: Privacy and Data Protection Policies. Standard. Geneva, Switzerland: International Organization for Standardization. https://www.iso.org/standard/74379.html.
   Google Scholar
• ISO/TS 22287:2019-05. 2019. Health Informatics — Workforce Roles and Capabilities for Terminology and Terminology Services in Healthcare (Term Workforce). Standard. Geneva, Switzerland: International Organization for Standardization. https://www.iso.org/standard/73036.html.
   Google Scholar
• Jahan, Farha, Weiqing Sun, Quamar Niyaz, and Mansoor Alam. 2020. “Security Modeling of Autonomous Systems: A Survey.” ACM Computing Surveys 52 (5): 1–34. doi:10.1145/3337791.
   Web of Science ®Google Scholar
• Jamwal, Rebecca, Libby Callaway, Jane Ackerl, Louise Farnworth, and Di Winkler. 2017. “Electronic Assistive Technology Used by People with Acquired Brain Injury in Shared Supported Accommodation: Implications for Occupational Therapy.” British Journal of Occupational Therapy 80 (2): 89–98. doi:10.1177/0308022616678634.
   Web of Science ®Google Scholar
• Javdani, Shervin, Henny Admoni, Stefania Pellegrinelli, Siddhartha S. Srinivasa, and J. Andrew Bagnell. 2017. “Shared Autonomy Via Hindsight Optimization for Teleoperation and Teaming.” The International Journal of Robotics Research 37: 717–742.
   Web of Science ®Google Scholar
• Jeon, Hong Jun., Dylan P. Losey, and Dorsa Sadigh. 2020. “Shared Autonomy with Learned Latent Actions.” Unpublished.
   Google Scholar
• Käthner, Ivo., Sebastian Halder, Christoph Hintermüller, Arnau Espinosa, Christoph Guger, Felip Miralles, Eloisa Vargiu, Stefan Dauwalder, Xavier Rafael-Palou, Marc Solà, Jean M. Daly, Elaine Armstrong, Suzanne Martin, and Andrea Kübler. 2017. “A Multifunctional Brain-Computer Interface Intended for Home Use: An Evaluation With Healthy Participants and Potential End Users with Dry and Gel-Based Electrodes.” Frontiers in Neuroscience 11: 286. doi:10.3389/fnins.2017.00286.
   PubMed Web of Science ®Google Scholar
• Kearns, William D., Adam J. Becker, John P. Condon, Victor Molinari, Ardis Hanson, William Conover, and James L. Fozard. 2022. “Views of Wheelchair Users and Caregivers regarding a Passive Safety Monitoring System for Electric Powered Wheelchair Operators With Cognitive Impairment.” Assistive Technology : The Official Journal of RESNA 34 (1): 64–76. doi:10.1080/10400435.2019.1689537.
   PubMed Web of Science ®Google Scholar
• Kettlewell, Jade, Julie Phillips, Kate Radford, and Roshan dasNair. 2018. “Informing Evaluation of a Smartphone Application for People with Acquired Brain Injury: A Stakeholder Engagement Study.” BMC Medical Informatics and Decision Making 18 (1): 1–13. doi:10.1186/s12911-018-0611-0.
   PubMed Web of Science ®Google Scholar
• Kim, Jeonghee, Hangue Park, Joy Bruce, Diane Rowles, Jaimee Holbrook, Beatrice Nardone, Dennis P. West, Anne E. Laumann, Elliot Roth, Emir Veledar, and Maysam Ghovanloo. 2014. “Qualitative Assessment of Tongue Drive System by People With High-Level Spinal Cord Injury.” Journal of Rehabilitation Research and Development 51 (3): 451–465. doi:10.1682/JRRD.2013.08.0178.
   PubMedGoogle Scholar
• Kim, Kiduk, Ji-Hoon Jeong, Jeong-Hyun Cho, Sunghyun Kim, Jeonggoo Kang, Jeha Ryu, and Seong-Whan Lee. 2021. “Development of a Human-Display Interface With Vibrotactile Feedback for Real-World Assistive Applications.” Sensors 21 (2): 592. doi:10.3390/s21020592.
   PubMed Web of Science ®Google Scholar
• Kirwan, Barry, Matthias Wies, Rebecca Charles, Charles-Alban Dormoy, Theodore Letouze, Alia Lemkadden, Nicolas Maille, Jim Nixon, Daniele Ruscio, and Carsten Schmidt-Moll. 2019. “Charting the Edges of Human Performance.” MATEC Web of Conferences 304: 06007. doi:10.1051/matecconf/201930406007.
   Google Scholar
• Kolkowska, Ella, and Annica Kristofferson. 2016. “Privacy by Design Principles in Design of New Generation Cognitive Assistive Technologies.” In ICT Systems Security and Privacy Protection, 384–397. Basel, Switzerland: Springer International Publishing.
   Google Scholar
• König, Theresa, Martina Pigliautile, Oscar Águila, Jon Arambarri, Christophoros Christophorou, Matteo Colombo, Argyris Constantinides, Rosario Curia, Kathrina Dankl, Sten Hanke, Christopher Clemens Mayer, Stefan Moritsch, Markus Müllner-Rieder, Fritz Pernkopf, Christian Schüler, Maria Stillo, Patrizia Mecocci, and Elisabeth Stögmann. 2022. “User Experience and Acceptance of a Device Assisting Persons with Dementia in Daily Life: A Multicenter Field Study.” Aging Clinical and Experimental Research 34 (4): 869–879. doi:10.1007/s40520-021-02013-8.
   PubMed Web of Science ®Google Scholar
• Korn, Oliver, Markus Funk, Stephan Abele, Thomas Hörz, and Albrecht Schmidt. 2014. “Context-Aware Assistive Systems at the Workplace.” In Proceedings of the 7th International Conference on Pervasive Technologies Related to Assistive Environments, May. New York, NY: ACM.
   Google Scholar
• Kosch, Thomas, Romina Kettner, Markus Funk, and Albrecht Schmidt. 2016. “Comparing Tactile, Auditory, and Visual Assembly Error-Feedback for Workers with Cognitive Impairments.” In Proceedings of the 18th International ACM SIGACCESS Conference on Computers and Accessibility, October. New York, NY: ACM. doi:10.1145/2982142.2982157.
   Google Scholar
• Koscher, Karl, Alexei Czeskis, Franziska Roesner, Shwetak Patel, Tadayoshi Kohno, Stephen Checkoway, Damon McCoy, Brian Kantor, Danny Anderson, Hovav Shacham, and Stefan Savage. 2010. “Experimental Security Analysis of a Modern Automobile.” In 2010 IEEE Symposium on Security and Privacy, New York, NY: IEEE. doi:10.1109/SP.2010.34.
   Google Scholar
• Koumpouros, Yiannis, Alexandra Karavasili, Eleni Efthimiou, Stavroula-Evita Fotinea, Theodore Goulas, and Anna Vacalopoulou. 2017. “User Evaluation of the MOBOT Rollator Type Robotic Mobility Assistive Device.” Technologies 5 (4): 73. doi:10.3390/technologies5040073.
   Web of Science ®Google Scholar
• Kreitz, David. 2016. “Erving Goffman: The Presentation of Self in Everyday Life, Edinburgh: University of Edinburgh Social Science Research Centre 1956, 161 S. (dt. Wir alle spielen Theater. Die Selbstdarstellung im Alltag, München 1969).” In Klassiker der Sozialwissenschaften, 197–200. Wiesbaden, Germany: Springer Fachmedien Wiesbaden.
   Google Scholar
• Krempel, Erik, and Jürgen Beyerer. 2018. “The EU General Data Protection Regulation and Its Effects on Designing Assistive Environments.” In Proceedings of the 11th Pervasive Technologies Related to Assistive Environments Conference, June. New York, NY: ACM. doi:10.1145/3197768.3201567.
   Google Scholar
• Kuchenbecker, K.J., J. Fiene, and G. Niemeyer. 2006. “Improving Contact Realism Through Event-Based Haptic Feedback.” IEEE Transactions on Visualization and Computer Graphics 12 (2): 219–230. doi:10.1109/TVCG.2006.32.
   PubMed Web of Science ®Google Scholar
• Körber, Moritz, Eva Baseler, and Klaus Bengler. 2018. “Introduction Matters: Manipulating Trust in Automation and Reliance in Automated Driving.” Applied Ergonomics 66: 18–31. doi:10.1016/j.apergo.2017.07.006.
   PubMed Web of Science ®Google Scholar
• Lebrasseur, Audrey, Josiane Lettre, François Routhier, Philippe S. Archambault, and Alexandre Campeau-Lecours. 2021. “Assistive Robotic Arm: Evaluation of the Performance of Intelligent Algorithms.” Assistive Technology 33 (2): 95–104.
   PubMed Web of Science ®Google Scholar
• Lee, B. S., J. A. Lee, H. Choi, H. R. Pak, E. J. Kim, J. H. Bae, S. M. Yoo, and H. Kweon. 2020. “Development of the Usability Scale for Power Wheelchairs and Its Application in Power Wheelchairs Users in Korea.” Journal of Mechanics in Medicine and Biology 20 (10): 2040031. doi:10.1142/S021951942040031X.
   Web of Science ®Google Scholar
• Lee, Yung-Hui, and Bor-Shong Liu. 2003. “Inflight Workload Assessment: Comparison of Subjective and Physiological Measurements.” Aviation, Space, and Environmental Medicine 74 (10): 1078–1084.
   PubMed Web of Science ®Google Scholar
• Leporini, Barbara, and Marina Buzzi. 2018. “Home Automation for an Independent Living: Investigating the Needs of Visually Impaired People.” In Proceedings of the 15th International Web for All Conference. New York, NY: ACM.
   Google Scholar
• Gillies, M, and D. Ballin. 2004. “Integrating Autonomous Behavior and User Control for Believable Agents.” In Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, 336–343. New York, NY: IEEE.
   Google Scholar
• Ma, Mengxuan, Benjavicha Hotrabhavananda, Justin Hall, and Marjorie Skubic. 2017. “Assistive Adjustable Smart Shower System.” In 2017 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE), July. New York, NY: IEEE. doi:10.1109/CHASE.2017.89.
   Google Scholar
• Mahr, Angela, and Christian Müller. 2011. “A Schema of Possible Negative Effects of Advanced Driver Assistant Systems.” In Proceedings of the 6th International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design: Driving Assessment 2011. Iowa City, IA: University of Iowa. doi:10.17077/drivingassessment.1386.
   Google Scholar
• Malosio, Matteo, Marco Caimmi, Michele Cotti Cottini, Andrea Crema, Tito Dinon, Matjaz Mihelj, Lorenzo Molinari Tosatti, Janez Podobnik, Alessio Prini, Carlo Seneci, and Giulio Spagnuolo. 2016. “An Affordable, Adaptable, and Hybrid Assistive Device for Upper-Limb Neurorehabilitation.” Journal of Rehabilitation and Assistive Technologies Engineering 3: 2055668316680980. doi:10.1177/2055668316680980.
   Google Scholar
• Mansouri, Nazanin, Khaled Goher, and Seyed Ebrahim Hosseini. 2017. “Ethical Framework of Assistive Devices: Review and Reflection.” Robotics and Biomimetics 4 (1): 19. doi:10.1186/s40638-017-0074-2.
   PubMedGoogle Scholar
• Martinez-Hernandez, Uriel, Benjamin Metcalfe, Tareq Assaf, Leen Jabban, James Male, and Dingguo Zhang. 2021. “Wearable Assistive Robotics: A Perspective on Current Challenges and Future Trends.” Sensors 21 (20): 6751. doi:10.3390/s21206751.
   PubMed Web of Science ®Google Scholar
• Mavrou, Katerina, and Evert-Jan Hoogerwerf. 2016. “Towards Full Digital Inclusion: The ENTELIS Manifesto Against the Digital Divide.” Journal of Assistive Technologies 10 (3): 171–174. doi:10.1108/JAT-03-2016-0010.
   Google Scholar
• McGee-Lennon, Marilyn Rose, Maria Klara Wolters, and Stephen Brewster. 2011. “User-Centred Multimodal Reminders for Assistive Living.” In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 2105–2114. New York, NY: ACM.
   Google Scholar
• McNeill, Andrew, Pam Briggs, Jake Pywell, and Lynne Coventry. 2017. “Functional Privacy Concerns of Older Adults about Pervasive Health-Monitoring Systems.” In Proceedings of the 10th International Conference on Pervasive Technologies Related to Assistive Environments, June. New York, NY: ACM. doi:10.1145/3056540.3056559.
   Google Scholar
• McPherson, B, and E. T. Wong. 2005. “Effectiveness of an Affordable Hearing Aid With Elderly Persons.” Disability and Rehabilitation 27 (11): 601–609. doi:https://www.ncbi.nlm.nih.gov/pubmed/16019870. 10.1080/09638280400019682.
   PubMed Web of Science ®Google Scholar
• Meiland, F J M., B J J. Hattink, T. Overmars-Marx, M E. de Boer, A. Jedlitschka, P W G. Ebben, Ir I N W. Stalpers-Croeze, S. Flick, J. van der Leeuw, I P. Karkowski, and R M. Dröes. 2014. “Participation of End Users in the Design of Assistive Technology for People with Mild to Severe Cognitive Problems; the European Rosetta Project.” International Psychogeriatrics 26 (5): 769–779. doi:10.1017/S1041610214000088.
   PubMed Web of Science ®Google Scholar
• Mónica Faria, Brígida, Sérgio Vasconcelos, Lués Paulo Reis, and Nuno Lau. 2013. “Evaluation of Distinct Input Methods of an Intelligent Wheelchair in Simulated and Real Environments: A Performance and Usability Study.” Assistive Technology : The Official Journal of RESNA 25 (2): 88–98. doi:10.1080/10400435.2012.723297.
   PubMed Web of Science ®Google Scholar
• Montesano, Luis, Marta Diaz, Sonu Bhaskar, and Javier Minguez. 2010. “Towards an Intelligent Wheelchair System for Users with Cerebral Palsy.” IEEE Transactions on Neural Systems and Rehabilitation Engineering : A Publication of the IEEE Engineering in Medicine and Biology Society 18 (2): 193–202. doi:10.1109/TNSRE.2009.2039592.
   PubMed Web of Science ®Google Scholar
• Morioka, Miyuki, and Michael J. Griffin. 2005. “Thresholds for the Perception of Hand-Transmitted Vibration: Dependence on Contact Area and Contact Location.” Somatosensory & Motor Research 22 (4): 281–297. doi:10.1080/08990220500420400.
   PubMed Web of Science ®Google Scholar
• Muelling, Katharina, Arun Venkatraman, Jean-Sebastien Valois, John Downey, Jeffrey Weiss, Shervin Javdani, Martial Hebert, Andrew B. Schwartz, Jennifer L. Collinger, and J. Andrew Bagnell. 2017. “Autonomy Infused Teleoperation With Application to BCI Manipulation.” Autonomous Robots 41: 1401–1422. doi:10.1007/s10514-017-9622-4.
   Google Scholar
• Nam, Chang S., Sangwoo Bahn, and Raney Lee. 2013. “Acceptance of Assistive Technology by Special Education Teachers: A Structural Equation Model Approach.” International Journal of Human-Computer Interaction 29 (5): 365–377. doi:10.1080/10447318.2012.711990.
   Web of Science ®Google Scholar
• Nashel, Andrew, and Sharif Razzaque. 2003. “Tactile Virtual Buttons for Mobile Devices.” In CHI '03 Extended Abstracts on Human Factors in Computing systems - CHI '03. New York, NY: ACM. doi:10.1145/765891.766032.
   Google Scholar
• Obrenovic, Zeljko, Dusan Starcevic, and Emil Jovanov. 2003. “Toward Optimization of Multimodal User Interfaces for Tactical Audio Applications.” In Lecture Notes in Computer Science, 287–298. Berlin, Germany: Springer.
   Google Scholar
• Offermann-van Heek, Julia, Eva-Maria Schomakers, and Martina Ziefle. 2019. “Bare Necessities? How the Need for Care Modulates the Acceptance of Ambient Assisted Living Technologies.” International Journal of Medical Informatics 127: 147–156. doi:https://www.sciencedirect.com/science/article/pii/S1386505618311675.
   PubMed Web of Science ®Google Scholar
• Panetto, Hervé, Benoit Iung, Dmitry Ivanov, Georg Weichhart, and Xiaofan Wang. 2019. “Challenges for the Cyber-Physical Manufacturing Enterprises of the Future.” Annual Reviews in Control 47: 200–213. doi:10.1016/j.arcontrol.2019.02.002.
   Web of Science ®Google Scholar
• Parasuraman, Raja, and Victor Riley. 1997. “Humans and Automation: Use, Misuse, Disuse, Abuse.” Human Factors: The Journal of the Human Factors and Ergonomics Society 39 (2): 230–253. doi:10.1518/001872097778543886.
   Web of Science ®Google Scholar
• Peek, Sebastiaan T.M., Eveline J.M Wouters, Joost van Hoof, Katrien G. Luijkx, Hennie R. Boeije, and Hubertus J.M Vrijhoef. 2014. “Factors Influencing Acceptance of Technology for Aging in Place: A Systematic Review.” International Journal of Medical Informatics 83 (4): 235–248. doi:10.1016/j.ijmedinf.2014.01.004.
   PubMed Web of Science ®Google Scholar
• Perumal, Thinagaran, A. Ramli, and Chui Leong. 2011. “Interoperability Framework for Smart Home Systems.” IEEE Transactions on Consumer Electronics 57 (4): 1607–1611. doi:10.1109/TCE.2011.6131132.
   Web of Science ®Google Scholar
• Pitts, Matthew J., Gary Burnett, Lee Skrypchuk, Tom Wellings, Alex Attridge, and Mark A. Williams. 2012. “Visual–Haptic Feedback Interaction in Automotive Touchscreens.” Displays 33 (1): 7–16. doi:10.1016/j.displa.2011.09.002.
   Web of Science ®Google Scholar
• Prange, G. B., L. C. Smulders, J. van Wijngaarden, G. J. Lijbers, S. M. Nijenhuis, P. H. Veltink, J. H. Buurke, and A. H. A. Stienen. 2015. “User Requirements for Assistance of the Supporting Hand in Bimanual Daily Activities via a Robotic Glove for Severely Affected Stroke Patients.” In 2015 IEEE International Conference on Rehabilitation Robotics (ICORR), August. New York, NY: IEEE. doi:10.1109/ICORR.2015.7281225.
   Google Scholar
• Price, Blaine A., Karim Adam, and Bashar Nuseibeh. 2005. “Keeping Ubiquitous Computing to Yourself: A Practical Model for User Control of Privacy.” International Journal of Human-Computer Studies 63 (1–2): 228–253. doi:10.1016/j.ijhcs.2005.04.008.
   Web of Science ®Google Scholar
• Qi, Lei, Miguel Vargas Martin, Bill Kapralos, Mark Green, and Miguel García-Ruiz. 2007. “Toward Sound-Assisted Intrusion Detection Systems.” In On the Move to Meaningful Internet Systems 2007: Coop is, DOA, ODBASE, GADA, and IS, 1634–1645. Berlin, Germany: Springer.
   Google Scholar
• Rickert, James. 2020. “On Patient Safety: The Lure of Artificial Intelligence—Are We Jeopardizing Our Patients’ Privacy?” Clinical Orthopaedics and Related Research 478 (4): 712–714. doi:10.1097/CORR.0000000000001189.
   PubMed Web of Science ®Google Scholar
• Rosenthal-von der Pütten, Astrid Marieke, Nikolai Bock, and Katharina Brockmann. 2017. “Not Your Cup of Tea? How Interacting with a Robot Can Increase Perceived Self-Efficacy in HRI and Evaluation.” In Proceedings of the 2017 ACM/IEEE International Conference on Human-Robot Interaction, 483–492. New York, NY: ACM.
   Google Scholar
• Rufino, José. 2016. “Towards Integration of Adaptability and Non-Intrusive Runtime Verification in Avionic Systems.” ACM SIGBED Review 13 (1): 60–65. doi:10.1145/2907972.2907981.
   Google Scholar
• Ruscio, Daniele, Thomas Feuerle, Jesper Sandgaard, Lisanne-Patricia Azzam-Riecher, Michael Langer, and Keyvan Bayram. 2021. “Pilot State Monitoring Wearable Systems in Real Environment: Pilot’s Usability and Acceptance Feedback to Enhance Risk Management.” In Lecture Notes in Networks and Systems, 74–81. Basel, Switzerland: Springer International Publishing.
   Google Scholar
• Saracchini, R., C. Catalina, and L. Bordoni. 2015. “A Mobile Augmented Reality Assistive Technology for the Elderly.” Comunicar 23 (45): 65–74. doi:10.3916/C45-2015-07.
   Web of Science ®Google Scholar
• Schmidt, Albrecht. 2000. “Implicit Human Computer Interaction through Context.” Personal Technologies 4 (2–3): 191–199. doi:10.1007/BF01324126.
   Google Scholar
• Schmidt, Albrecht, Anind K. Dey, Andrew L. Kun, and Wolfgang Spiessl. 2010. “Automotive User Interfaces.” In CHI '10 Extended Abstracts on Human Factors in Computing Systems, April. New York, NY: ACM. doi:10.1145/1753846.1753949.
   Google Scholar
• Schmidtler, Jonas, Klaus Bengler, Fotios Dimeas, and Alexandre Campeau-Lecours. 2017. “Questionnaire for the Evaluation of Physical Assistive Devices (QUEAD) - Manual.” In 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC). New York, NY: IEEE.
   Google Scholar
• Seymour, P. Frazer, Justin Matejka, Geoff Foulds, Ihor Petelycky, and Fraser Anderson. 2017. “AMI an Adaptable Music Interface to Support the Varying Needs of People with Dementia.” In Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility, October. New York, NY: ACM.
   Google Scholar
• Sheikholeslami, Sara. 2017. “Data-Driven Design of Expressive Robot Hands and Hand Gestures: applications for Collaborative Human-Robot Interaction.” PhD diss., University of British Columbia.
   Google Scholar
• Shore, Linda, Valerie Power, Bernard Hartigan, Samuel Schülein, Eveline Graf, Adam de Eyto, and Leonard O’Sullivan. 2020. “Exoscore: A Design Tool to Evaluate Factors Associated with Technology Acceptance of Soft Lower Limb Exosuits by Older Adults.” Human Factors 62 (3): 391–410. doi:10.1177/0018720819868122.
   PubMed Web of Science ®Google Scholar
• Sime, M. M., A. L. C. Bissoli, D. Lavino, T. F. Bastos, and P. Schwenkreis. 2021. “Usability, Occupational Performance and Satisfaction Evaluation of a Smart Environment Controlled by Infrared Oculography by People with Severe Motor Disabilities.” Plos One 16 (8): e0256062. doi:10.1371/journal.pone.0256062.
   PubMed Web of Science ®Google Scholar
• Smith, Ronnie. 2020. “Adaptivity as a Service (AaaS): Personalised Assistive Robotics for Ambient Assisted Living.” In Advances in Intelligent Systems and Computing, 239–242. Basel, Switzerland: Springer International Publishing.
   Google Scholar
• Soares, Johnny, S. Marcos, Camila Stéfany, D. Guerra, Marcelo Martins da Silva, Letícia Saraiva Chaves, Andréia Libório Sampaio, and Wagner Guimarães Al-Alam. 2021. “Smart Cane: Laser Guide as an Inclusion Tool for the Visually Impaired.” In Proceedings of the XX Brazilian Symposium on Human Factors in Computing Systems. New York, NY: ACM.
   Google Scholar
• Steinke, Frederick, Tobias Fritsch, Daniel Brem, and Svenja Simonsen. 2012. “Requirement of AAL Systems: Older Persons’ Trust in Sensors and Characteristics of AAL Technologies.” In Proceedings of the 5th International Conference on Pervasive Technologies Related to Assistive Environments. New York, NY: ACM.
   Google Scholar
• Stock, Ruth, Moritz Merkle, Dietmar Eidens, Martin Hannig, Paul Heineck, Mai Anh Nguyen, and Johannes Völker. 2019. “When Robots Enter Our Workplace: Understanding Employee Trust in Assistive Robots.” In Proceedings of the International Conference on Information Systems. Atlanta, GA: AIS eLibrary.
   Google Scholar
• Suwa, Sayuri, Mayuko Tsujimura, Hiroo Ide, Naonori Kodate, Mina Ishimaru, Atsuko Shimamura, and Wenwei Yu. 2020. “Home-Care Professionals’ Ethical Perceptions of the Development and Use of Home-Care Robots for Older Adults in Japan.” International Journal of Human–Computer Interaction 36 (14): 1295–1303. doi:10.1080/10447318.2020.1736809.
   Web of Science ®Google Scholar
• Taherdoost, Hamed. 2018. “A Review of Technology Acceptance and Adoption Models and Theories.” Procedia Manufacturing 22: 960–967. doi:10.1016/j.promfg.2018.03.137.
   Google Scholar
• Tang, Ziying, Jin Guo, Sheng Miao, Subrata Acharya, and Jinjuan Heidi Feng. 2016. “Ambient Intelligence Based Context-Aware Assistive System to Improve Independence for People with Autism Spectrum Disorder.” In 2016 49th Hawaii International Conference on System Sciences (HICSS), January. New York, NY: IEEE. doi:10.1109/HICSS.2016.417.
   Google Scholar
• Tapus, Adriana, and Amir Aly. 2011. “User Adaptable Robot Behavior.” In 2011 International Conference on Collaboration Technologies and Systems (CTS), May. New York, NY: IEEE. doi:10.1109/CTS.2011.5928681.
   Google Scholar
• Taranović, Aleksandar, Aleksandar Jevtić, and Carme Torras. 2018. “Adaptable Multimodal Interaction Framework for Robot-Assisted Cognitive Training.” In Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction, March. New York, NY: ACM. doi:10.1145/3173386.3176911.
   Google Scholar
• Templeton, Steven J. 2011. “Security Aspects of Cyber-Physical Device Safety in Assistive Environments.” In Proceedings of the 4th International Conference on Pervasive Technologies Related to Assistive Environments - PETRA '11, New York, NY: ACM. doi:10.1145/2141622.2141685.
   Google Scholar
• Templier, Mathieu, and Guy Paré. 2015. “A Framework for Guiding and Evaluating Literature Reviews.” Communications of the Association for Information Systems 37: 112–137 . doi:10.17705/1CAIS.03706.
   Google Scholar
• Thompson, Ronald L., Christopher A. Higgins, and Jane M. Howell. 1991. “Personal Computing: Toward a Conceptual Model of Utilization.” MIS Quarterly 15 (1): 125. doi:10.2307/249443.
   Web of Science ®Google Scholar
• Thordardottir, Björg, Agneta Malmgren Fänge, Connie Lethin, Danae Rodriguez Gatta, and Carlos Chiatti. 2019. “Acceptance and Use of Innovative Assistive Technologies among People with Cognitive Impairment and Their Caregivers: A Systematic Review.” BioMed Research International 2019: 9196729. doi:10.1155/2019/9196729.
   PubMed Web of Science ®Google Scholar
• Thorpe, Julia Rosemary, Kristoffer V H. Rønn-Andersen, Paulina Bień, Ali Gürcan Özkil, Birgitte Hysse Forchhammer, and Anja M. Maier. 2016. “Pervasive Assistive Technology for People with Dementia: A UCD Case.” Healthcare Technology Letters 3 (4): 297–302. doi:10.1049/htl.2016.0057.
   PubMed Web of Science ®Google Scholar
• Todd, D. A., P. J. McCullagh, M. D. Mulvenna, and G. Lightbody. 2012. “Investigating the Use of Brain-Computer Interaction to Facilitate Creativity.” In Proceedings of the 3rd Augmented Human International Conference. New York, NY: ACM. doi:10.1145/2160125.2160144.
   Google Scholar
• Tural, Elif, Danni Lu, and D Austin Cole. 2020. “Factors Predicting Older Adults’ Attitudes toward and Intentions to Use Stair Mobility Assistive Designs at Home.” Preventive Medicine Reports 18: 101082. doi:10.1016/j.pmedr.2020.101082.
   PubMedGoogle Scholar
• Umbrico, Alessandro, Amedeo Cesta, Gabriella Cortellessa, and Andrea Orlandini. 2020. “A Holistic Approach to Behavior Adaptation for Socially Assistive Robots.” International Journal of Social Robotics 12 (3): 617–637. doi:10.1007/s12369-019-00617-9.
   Web of Science ®Google Scholar
• van der Linden, Janet, Rose Johnson, Jon Bird, Yvonne Rogers, and Erwin Schoonderwaldt. 2011. “Buzzing to Play.” In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, May. New York, NY: ACM.
   Google Scholar
• Venkatesh, V., M. G. Morris, G. B. Davis, and F. D. Davis. 2003. “User Acceptance of Information Technology: Toward a Unified View.” MIS Quarterly 27 (3): 425. doi:10.2307/30036540.
   Web of Science ®Google Scholar
• Venkatesh, Viswanath, and Fred D. Davis. 2000. “A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies.” Management Science 46 (2): 186–204. doi:10.1287/mnsc.46.2.186.11926.
   Web of Science ®Google Scholar
• Vincent, C., F. Routhier, V. Martel, M. E. Mottard, F. Dumont, L. Cote, and D. Cloutier. 2014. “Field Testing of Two Electronic Mobility Aid Devices for Persons Who Are Deaf-Blind.” Disability and Rehabilitation. Assistive Technology 9 (5): 414–420. doi:https://www.ncbi.nlm.nih.gov/pubmed/24266810. 10.3109/17483107.2013.825929.
   PubMedGoogle Scholar
• Vulpe, Alexandru, Ali Paikan, Razvan Craciunescu, Pouyan Ziafati, Sofoklis Kyriazakos, Adrien Hemmer, and Remi Badonnel. 2019. “IoT Security Approaches in Social Robots for Ambient Assisted Living Scenarios.” In 2019 22nd International Symposium on Wireless Personal Multimedia Communications (WPMC), November. New York, NY: IEEE. doi:10.1109/WPMC48795.2019.9096127.
   Google Scholar
• Wangenheim, M., S. Carlsöö, B. Nordgren, and K. Linroth. 1986. “Perception of Efforts in Working Postures.” Upsala Journal of Medical Sciences 91 (1): 53–66. doi:10.3109/03009738609178491.
   PubMed Web of Science ®Google Scholar
• West, R. L, and S. L. Smith. 2007. “Development of a Hearing Aid Self-Efficacy Questionnaire.” International Journal of Audiology 46 (12): 759–771. https://www.ncbi.nlm.nih.gov/pubmed/18049965. 10.1080/14992020701545898.
   PubMed Web of Science ®Google Scholar
• Wickens, Christopher, Juliana Goh, John Helleberg, William Horrey, and Donald Talleur. 2003. “Attentional Models of Multitask Pilot Performance Using Advanced Display Technology.” Human Factors 45 (3): 360–380. doi:10.1518/hfes.45.3.360.27250.
   PubMed Web of Science ®Google Scholar
• Wickens, Christopher D., John Helleberg, Juliana Goh, Xidong Xu, and William J. Horrey. 2001. Pilot Task Management: Testing an Attentional Expected Value Model of Visual Scanning. Savoy, IL: UIUC Institute of Aviation Technical Report.
   Google Scholar
• Wilkowska, Wiktoria, and Martina Ziefle. 2011. “Perception of Privacy and Security for Acceptance of E-Health Technologies: Exploratory Analysis for Diverse User Groups.” In Proceedings of the 5th International ICST Conference on Pervasive Computing Technologies for Healthcare. New York, NY: IEEE. doi:10.4108/icst.pervasivehealth.2011.246027.
   Google Scholar
• Wilson, Jason R., Linda Tickle-Degnen, and Matthias Scheutz. 2020. “Challenges in Designing a Fully Autonomous Socially Assistive Robot for People with Parkinson’s Disease.” Journal of Human-Robot Interaction 9 (3): 1–31. doi:10.1145/3379179.
   Google Scholar
• Wu, Philip Fei. 2009. “User Acceptance of Emergency Alert Technology: A Case Study.” In Proceedings of the 6th International ISCRAM Conference. Brussels, Belgium: ISCRAM.
   Google Scholar
• Wu, Y. H., J. Wrobel, M. Cornuet, H. Kerherve, S. Damnee, and A. S. Rigaud. 2014. “Acceptance of an Assistive Robot in Older Adults: A Mixed-Method Study of Human-Robot Interaction Over a 1-Month Period in the Living Lab Setting.” Clinical Interventions in Aging 9: 801–811. doi:10.2147/CIA.S56435.
   PubMed Web of Science ®Google Scholar
• Xiao, Yu, and Maria Watson. 2019. “Guidance on Conducting a Systematic Literature Review.” Journal of Planning Education and Research 39 (1): 93–112. doi:10.1177/0739456X17723971.
   Web of Science ®Google Scholar
• Young, Gloria, Lyubov Zavelina, and Vallire Hooper. 2008. “Assessment of Workload Using NASA Task Load Index in Perianesthesia Nursing.” Journal of Perianesthesia Nursing : Official Journal of the American Society of PeriAnesthesia Nurses 23 (2): 102–110. doi:10.1016/j.jopan.2008.01.008.
   PubMedGoogle Scholar
• Zaki, Michael, and Peter Forbrig. 2013. “Making Task Models and Dialog Graphs Suitable for Generating Assistive and Adaptable User Interfaces for Smart Environments.” In Proceedings of the 3rd International Conference on Pervasive Embedded Computing and Communication Systems (PECCS-2013), 66–75. Setúbal, Portugal: SciTePress. doi:10.5220/0004315100660075.
   Google Scholar
• Zhang, Kuangen, Jianwen Luo, Wentao Xiao, Wen Zhang, Haiyuan Liu, Jiale Zhu, Zeyu Lu, Yiming Rong, Clarence W. de Silva, and Chenglong Fu. 2021. “A Subvision System for Enhancing the Environmental Adaptability of the Powered Transfemoral Prosthesis.” IEEE Transactions on Cybernetics 51 (6): 3285–3297. doi:10.1109/TCYB.2020.2978216.
   PubMed Web of Science ®Google Scholar
• Zhou, Ji., Peigen Li, Yanhong Zhou, Baicun Wang, Jiyuan Zang, and Liu Meng. 2018. “Toward New-Generation Intelligent Manufacturing.” Engineering 4 (1): 11–20. doi:10.1016/j.eng.2018.01.002.
   Web of Science ®Google Scholar
• Zolyomi, Annuska, Anushree Shukla, and Jaime Snyder. 2017. “Technology-Mediated Sight: A Case Study of Early Adopters of a Low Vision Assistive Technology.” In Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility, 220–229. Association for Computing Machinery.
   Google Scholar
• Zulas, A. Leah, Aaron S. Crandall, and Maureen Schmitter-Edgecombe. 2014. “Caregiver Needs from Elder Care Assistive Smart Homes: Children of Elder Adults Assessment.” Proceedings of the Human Factors and Ergonomics Society Annual Meeting 58 (1): 634–638. doi:10.1177/1541931214581150.
   Google Scholar