Acceptance and Attitudes Toward a Human-like Socially Assistive Robot by Older Adults

References

• Allison, B., Nejat, G., & Kao, E. (2009). The Design of an Expressive Human-like Socially Assistive Robot. ASME Journal on Mechanisms and Robotics, 1(1), 1–8.
   Google Scholar
• Barrett, J. (2000). The information needs of elderly, disabled elderly people, and their carers. Oxford, UK: Disability Information Trust.
   Google Scholar
• Bartneck, C., Kulić, D., Croft, E., & Zoghbi, S. (2009). Measurement instruments for the anthropomorphism, animacy, likeability, perceived intelligence, and perceived safety of robots. International Journal of Social Robotics, 1(1), 71–81.
   Web of Science ®Google Scholar
• Beach, S. R. (2012). Assessing needs, preferences, and attitudes using survey methods. Quality of Life Technology, 3, 65–85.
   Google Scholar
• Beer, J. M., & Takayama, L. (2011). Mobile remote presence systems for older adults: Acceptance, benefits, and concerns. ACM/IEEE International Conference on Human-Robot Interaction, 19–26.
   Google Scholar
• Beer, J. M., Smarr, C., Chen, T. L., Prakash, A., Mitzner, T. L., Kemp, C. C., & Rogers, W. A. (2012). The Domesticated Robot: Design Guidelines for Assisting Older Adults to Age in Place. ACM/IEEE International Conference on Human-Robot Interaction, 335–342.
   Google Scholar
• Belleville, S., Gilbert, B., Fontaine, F., Gagnon, L., Ménard, E., & Gauthier, S. (2006). Improvement of episodic memory in persons with mild cognitive impairment and healthy older adults: Evidence from a cognitive intervention program. Journal of Dementia and Geriatric Cognitive Disorders, 22, 486–499.
   PubMed Web of Science ®Google Scholar
• Bergström, G., Jensen, I. B., Bodin, L., Linton, S. J., Nygren, Å. L., & Carlsson, S. G. (1998). Reliability and factor structure of the Multidimensional Pain Inventory–Swedish Language version (MPI-S). Pain, 75(1), 101–110.
   PubMed Web of Science ®Google Scholar
• Birch, A., & Irvine, V. (2009). Preservice teachers’ acceptance of ICT integration in the classroom: applying the UTAUT model. Educational Media International, 64, 295–315.
   Google Scholar
• Broadbent, E., Tamagawa, R., Patience, A., Knock, B., Kerse, N., Day, K., & MacDonald, B. A. (2012). Attitudes towards health-care robots in a retirement village. Australasian Journal on Ageing, 31, 115–120.
   PubMed Web of Science ®Google Scholar
• Callahan, D., & Prager, K. (2008). Medical care for the elderly: Should limits be set? American Medical Association Journal of Ethics, 10, 404–410.
   Google Scholar
• Cesta, A., Cortellessa, G., Giuliani, M.V., Pecora, F., Scopelliti, M., & Tiberio, L. (2007). Psychological implications of domestic assistive technology for the elderly. PsychNology Journal, 5, 229–252.
   Google Scholar
• Chan, J., Nejat, G., & Chen, J. (2011). Designing socially assistive robots as effective tools for cognitive interventions. International Journal of Humanoid Robotics, 8(1), 103–126.
   Web of Science ®Google Scholar
• Chan, J., & Nejat, G. (2012). Social intelligence for a robot engaging people in cognitive training activities. International Journal of Advanced Robotic Systems: Human Robot Interaction, 9(113), 1–13.
   Web of Science ®Google Scholar
• Coleman, C. K., & Medvene, L. J. (2012). A person-centered care intervention for geriatric certified nursing assistants. The Gerontologist, 52(6), 1–12.
   Google Scholar
• Crowell, C. R., Villanoy, M., Scheutzz, M., & Schermerhornz, P. (2009). Gendered voice and robot entities: perceptions and reactions of male and female subjects. IEEE/RSJ International Conference on Intelligent Robots and Systems, 3735–3741.
   Google Scholar
• Curtis, M. B., & Payne, E. A. (2008). An examination of contextual factors and individual characteristics affecting technology implementation decisions in auditing. International Journal of Accounting Information Systems, 9, 104–121.
   Google Scholar
• Dautenhahn, K., Woods, S., Kaouri, C., Walters, M., Koay, K. & Werry, I. (2005). What is a robot companion—Friend, assistant, or butler? IEEE/RSJ International Conference on Intelligent Robots and Systems, 1488–1493.
   Google Scholar
• Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management science, 35, 982–1003.
   Web of Science ®Google Scholar
• Ezer, N., Fisk, A. D., & Rogers, W. A. (2009). More than a servant: Self-reported willingness of younger and older adults to having a robot perform interactive and critical tasks in the home. Human Factors and Ergonomics Society Annual Meeting, 53, 136–140.
   PubMedGoogle Scholar
• Fasola, J., & Mataric, M. (2012). Using socially assistive human-robot interaction to motivate physical exercise for older adults. Proceedings of the IEEE, 100(8), 2512–2526.
   Web of Science ®Google Scholar
• Field, A. (2009). Discovering statistics using SPSS. London, UK: Sage Publications.
   Google Scholar
• Ghulam, S., Shah, S., & Robinson, I. (2006). User involvement in healthcare technology development and assessment. International Journal of Health Care Quality Assurance, 19, 500–515.
   Google Scholar
• Grosch, K., Medvene, L., & Wolcott, H. (2008). Person-centered caregiving instruction for geriatric nursing assistant students. Journal of Gerontological Nursing, 34(8), 23–31.
   PubMed Web of Science ®Google Scholar
• Guo, X., Sun, Y., Wang, N., Peng, Z., & Yan, Z. (2013). The dark side of elderly acceptance of preventive mobile health services in China. Electronic Markets, 23(1), 49–61.
   Web of Science ®Google Scholar
• Gurley, K., & Norcio, A. F. (2009). A systematic review of technologies designed to improve and assist cognitive decline for both the current and future aging populations. In N. Aykin (Ed.), Internationalization, design and global development ( pp. 156–163). Berlin: Springer.
   Google Scholar
• Hedden, T., & Gabrieli, J. D. E. (2004). Insights into the ageing mind: A view from cognitive neuroscience. Neuroscience, 5, 87–96.
   PubMed Web of Science ®Google Scholar
• Heerink, M., Krose, B., Evers, V., & Wielinga, B. (2006). The Influence of a Robot’s Social Abilities on Acceptance by Elderly Users. IEEE International Symposium on Robot and Human Interactive Communication, 521–526.
   Google Scholar
• Heerink, M. (2010) Assessing acceptance of assistive social robots by aging adults (Doctoral dissertation). University of Amsterdam, Amsterdam, the Netherlands.
   Google Scholar
• Heerink, M. (2011). Exploring the influence of age, gender, education, and computer experience on robot acceptance by older adults. ACM/IEEE International Conference on Human-robot Interaction, 147–148.
   Google Scholar
• Heerink, M., Kröse, B., Evers, V., & Wielinga, B. (2010). Assessing acceptance of assistive social agent technology by older adults: The Almere Model. International Journal of Social Robotics, 2, 361–375.
   Web of Science ®Google Scholar
• Ho, C. C., & MacDorman, K. F. (2010). Revisiting the uncanny valley theory: Developing and validating an alternative to the Godspeed indices. Computers in Human Behavior, 26, 1508–1518.
   Web of Science ®Google Scholar
• Jeffery, S. (2008). Cognitive stimulation technique may prevent decline in healthy elderly. Medscape Medical News. Retrieved from http://www.medscape.com/viewarticle/577373
   Google Scholar
• Jorm, A. F., Korten, A. E., & Henderson, A. S. (1987). The prevalence of dementia: A quantitative integration of the literature. Acta Psychiatrica Scandinavica, 76, 465–479.
   PubMed Web of Science ®Google Scholar
• Kamide, H., Takubo, T., Ohara, K., Mae, Y., & Arai, T. (2014). Impressions of humanoids: The development of a measure for evaluating a humanoid. International Journal of Social Robotics, 6, 33–44.
   Google Scholar
• Kintsch, A., & DePaula, R. (2002). A framework for the adoption of assistive technology. State Wide Assistive Technology, Augmentative and Alternative Communication, SWAAAC: Supporting Learning Through Assistive Technology, 1–10.
   Google Scholar
• Kuo, I., Rabindran, J., Broadbent, E., Lee, Y. I., Kerse, N., Stafford, R. M. Q., & Macdonald, B. A. (2009) Age and gender factors in user acceptance of healthcare robots. IEEE International Symposium on Robot and Human Interaction, 214–219.
   Google Scholar
• Lann-Wolcott, H., & Medvene, J. L. (2011). Measuring the person-centeredness of caregivers working with nursing home residents with dementia. Behavior Therapy, 42, 89–99.
   PubMed Web of Science ®Google Scholar
• Lawton, M. P., & Brody, E. M. (1969). Assessment of older people: Self-maintaining and instrumental activities of daily living. The Gerontologist, 9, 179–186.
   PubMed Web of Science ®Google Scholar
• Lee, M. K., Kiesler, S., Forlizzi, J., & Rybski, P. (2012). Ripple effects of an embedded social agent: a field study of a social robot in the workplace. ACM annual conference on Human Factors in Computing Systems, 695–704.
   Google Scholar
• Legris, P., Ingham, J., & Collerette, P. (2003). Why do people use information technology? A critical review of the technology acceptance model. Information & Management, 40, 191–204.
   Web of Science ®Google Scholar
• McColl, D., Chan, J., & Nejat, G. (2012). A socially assistive robot for meal-time cognitive interventions. Journal of Medical Devices–Transactions of the ASME, 6(1), 017559.
   Google Scholar
• McLeod, A., Pippin, S., & Mason, R. (2009). Individual taxpayer intention to use tax preparation software: examining experience, trust, and perceived risk. Journal of Information Science and Technology, 6(1), 26–44.
   Google Scholar
• Mitzner, T. L., Boron, J. B., Fausset, C. B., Adams, A. E., Charness, N., Czaja, S. J., … Sharit, J. (2010). Older adults talk technology: Technology usage and attitudes. Computers in Human Behavior, 26, 1710–1721.
   PubMed Web of Science ®Google Scholar
• Moss, S., Prosser, H., Costello, H., Simpson, N., Patel, P., Rowe, S., Turner, S., & Hatton, C. (1998). Reliability and validity of the PAS-ADD Checklist for detecting psychiatric disorders in adults with intellectual disability. Journal of Intellectual Disability Research, 42, 173–183.
   PubMed Web of Science ®Google Scholar
• Nakashima, T., & Fukutome, G. (2010). Healing Effects of Pet Robots at an Elderly-Care Facility. IEEE International Conference on Computer and Information Science, 407–412.
   Google Scholar
• Nejat, G., & Ficocelli, M. (2008). Can I be of assistance? The intelligence behind an assistive robot. International Conference on Robotics and Automation, 3564–3569.
   Google Scholar
• Nomura, T., Kanda, T., Suzuki, T., & Kato, K. (2004). Psychology in human-robot communication: An attempt through investigation of negative attitudes and anxiety toward robots. IEEE International Workshop on Robot and Human Interactive Communication, 35–40.
   Google Scholar
• Oppenauer, C., Preschl, B., Kalteis, K., & Kryspin-Exner, I. (2007). Technology in old age from a psychological point of view. HCI and Usability for Medicine and Health Care, Lecture Notes in Computer Science, 4799, 133–142.
   Google Scholar
• Petrick, J. F., & Backman, S. J. (2002). An examination of the construct of perceived value for the prediction of golf travelers’ intentions to revisit. Journal of Travel Research, 41(1), 38–45.
   Google Scholar
• Phang, C., Sutanto, J., Kankanhalli, A., Li, Y., Tan, B. C., & Teo, H. (2006). Senior citizens’ acceptance of information systems: A study in the context of e-government services. IEEE Transactions on Engineering Management, 53, 555–569.
   Web of Science ®Google Scholar
• Pitsch, K., Kuzuoka, H., Suzuki, Y., Sussenbach, L., Luff, P., & Heath, C. (2009). “The first five seconds”: Contingent stepwise entry into an interaction as a means to secure sustained engagement in HRI. IEEE International Symposium on Robot and Human Interactive Communication, 985–991.
   Google Scholar
• Powers, A., & Kiesler, S. (2006). The advisor robot: tracing people’s mental model from a robot’s physical attributes. ACM SIGCHI/SIGART Conference on Human-robot Interaction, 218–225.
   Google Scholar
• Powers, A., Kiesler, S., Fussell, S., & Torrey, C. (2007). Comparing a computer agent with a humanoid robot. ACM/IEEE International Conference on Human-Robot Interaction, 145–152.
   Google Scholar
• Richard, L., Gosselin, C., Trickey, F., Robitaille, C., & Payette, H. (2000). “Outings to your taste”: A nutrition program for the elderly. The Gerontologist, 40, 612–617.
   PubMed Web of Science ®Google Scholar
• Rogers, W. A., Meyer, B., Walker, N., & Fisk, A. D. (1998). Functional limitations to daily living tasks in the aged: A focus group analysis. Human Factors, 40(1), 111–125.
   PubMed Web of Science ®Google Scholar
• Scopelliti, M., Giuliani, M. V., D’Amico, A. M., & Fornara, F. (2004). If I had a robot at home. Peoples’ representation of domestic robots. In S. Keates, J. Clarkson, P. Langdon, & P. Robinson ( Eds.), Designing a more inclusive world ( pp. 257–266). London, England: Springer.
   Google Scholar
• Scopelliti, M., Giuliani, M. V., & Fornara, F. (2005). Robots in a domestic setting: a psychological approach. Universal Access in the Information Society, 4, 146–155.
   Google Scholar
• Shibata, S., & Wada, K. (2010). Robot therapy-a new approach for mental healthcare of the elderly. Gerontology, 57, 378–386.
   PubMed Web of Science ®Google Scholar
• Shin, H., Collier, D. A., & Wilson, D. D. (2000). Supply management orientation and supplier/buyer performance. Journal of Operations Management, 18, 317–333.
   Web of Science ®Google Scholar
• Shinozawa, K., Naya, F., Yamato, J., & Kogure, K. (2005). Differences in effect of robot and screen agent recommendations on human decision-making. International Journal of Human-Computer Studies, 62, 267–279.
   Web of Science ®Google Scholar
• Shiwa, T., Kanda, T., Imai, M., Ishiguro, H., & Hagita, N. (2008). How quickly should communication robots respond? ACM/IEEE International Conference on Human-Robot Interaction (HRI), 153–160.
   Google Scholar
• Sidner, C. L., Lee, C., Kidd, C. D., Lesh, N., & Rich, C. (2005). Explorations in engagement for humans and robots. Artificial Intelligence, 166(1), 140–164.
   Web of Science ®Google Scholar
• Smarr, C., Prakash, A., Beer, J. M., Mitzner, T. L., Kemp, C. C., & Rogers, W. A. (2012). Older Adult’s Preferences for and Acceptance of Robot Assistance for Everyday Living Tasks. Human Factors and Ergonomics Society Annual Meeting, 56(1), 153–157.
   PubMedGoogle Scholar
• Stem, C., & Munn, Z. (2010). Cognitive leisure activities and their role in preventing dementia: A systematic review. International Journal of Evidence-Based Healthcare, 8(1), 2–17.
   PubMedGoogle Scholar
• Stiefelhagen, R., Yang, J., & Waibel, A. (2001). Tracking focus of attention for human-robot communication. IEEE-RAS International Conference on Humanoid Robots, 343–350.
   Google Scholar
• Sturmey, P., Newton, J. T., Cowley, A., Bouras, N., & Holt, G. (2005). The PAS–ADD Checklist: independent replication of its psychometric properties in a community sample. The British Journal of Psychiatry, 186, 319–323.
   PubMed Web of Science ®Google Scholar
• Swangnetr, M., Zhu, B., Kaber, D., & Taylor, K. (2010). Meta-analysis of user age and service robot configuration effects on human-robot interaction in a healthcare application. AAAI Fall Symposium Series, 121–126.
   Google Scholar
• Syrdal, D. S., Dautenhahn, K., Koay, K. L., & Walters, M. L. (2009). The negative attitudes towards robots scale and reactions to robot behaviour in a live human-robot interaction study. Adaptive and Emergent Behaviour and Complex Systems: Convention of the Society for the Study of Artificial Intelligence and Simulation of Behaviour, 109–115.
   Google Scholar
• Tacken, M., Marcellini, F., Mollenkopf, H., Ruoppila, I., & Széman, Z. (2005). Use and acceptance of new technology by older people. Findings of the international MOBILATE survey: ‘Enhancing mobility in later life.’ Gerontechnology, 3, 126–137.
   Google Scholar
• Tapus, A., Ţăpuş, C., & Matarić, M. J. (2008). User—robot personality matching and assistive robot behavior adaptation for post-stroke rehabilitation therapy. Intelligent Service Robotics, 1,169–183.
   Web of Science ®Google Scholar
• Tapus, A., Tapus, C. & Mataric, M. J. (2009). The Role of Physical Embodiment of a Therapist Robot for Individuals with Cognitive Impairments. IEEE International Symposium on Robot and Human Interactive Communication, 103–107.
   Google Scholar
• Thomaz, A. L., Berlin, M., & Breazeal, C. (2005). An embodied computational model of social referencing. IEEE International Workshop on Robot and Human Interactive Communication, 591–598.
   Google Scholar
• Unger, J., Johnson, C., & Marks, G. (1997). Functional decline in the elderly: Evidence for direct and stress-buffering protective effects of social interactions and physical activity. Journal of Annals of Behavioural Medicine, 19, 152–160.
   PubMed Web of Science ®Google Scholar
• United Nations. (2011). World population prospects the 2010 revision. In Vol II: Demographic profiles. New York:United Nations.
   Google Scholar
• van der Horst, K., Kremers, S., Ferreira, I., Singh, A., Oenema, A., & Brug, J. (2007). Perceived parenting style and practices and the consumption of sugar-sweetened beverages by adolescents. Health Education Research, 22, 295–304.
   PubMed Web of Science ®Google Scholar
• Venkatesh, V. (2000). Determinants of perceived ease of use: integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research, 11, 342–365.
   Web of Science ®Google Scholar
• Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46, 186–204.
   Web of Science ®Google Scholar
• Venkatesh, V., Morris, M.G., Davis, F. D., & Davis, G.B. (2003) User acceptance of information technology: Toward a unified view. MIS Quarterly, 27, 425–478.
   Web of Science ®Google Scholar
• Verghese, J., Lipton, R. B., Katz, M. J., Hall, C. B., Derby, C. A., Kuslansky, G., … Buschke, H. (2003). Leisure activities and the risk of dementia in the elderly. New England Journal of Medicine, 348(25), 2508–2516.
   PubMed Web of Science ®Google Scholar
• Xu, Q., Ng, J. S. L., Cheong, Y. L., Tan, O. Y., Wong, J. B., Tay, B. T. C., & Park, T. (2012). Effect of scenario media on human-robot interaction evaluation. ACM/IEEE International Conference on Human-Robot Interaction, 275–276.
   Google Scholar
• Zhang, T., Kaber, D. B., Zhu, B., Swangnetr, M., Hodge, L. & Mosaly, P. (2010). Service robot feature design effects on user perceptions and emotional responses. International Journal of Intelligent Service Robotics, 3, 73–88.
   Web of Science ®Google Scholar