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Articles

Visual Impairments and Mobile Touchscreen Interaction: State-of-the-Art, Causes of Visual Impairment, and Design Guidelines

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Chihab Nadri, Chairunisa Anaya, Shan Yuan & Myounghoon Jeon. (2023) From Visual Art to Music: Sonification Can Adapt to Painting Styles and Augment User Experience. International Journal of Human–Computer Interaction 39:15, pages 3032-3044.
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Hari P. Palani, Paul D. S. Fink & Nicholas A. Giudice. (2020) Design Guidelines for Schematizing and Rendering Haptically Perceivable Graphical Elements on Touchscreen Devices. International Journal of Human–Computer Interaction 36:15, pages 1393-1414.
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Marion Ann Hersh & Alejandro R. García Ramírez. (2018) Evaluation of the electronic long cane: improving mobility in urban environments. Behaviour & Information Technology 37:12, pages 1203-1223.
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Diogo Miguel Carvalho. 2023. International Conference on Information Systems and Intelligent Applications. International Conference on Information Systems and Intelligent Applications 203 213 .
Stavroula Ntoa, George Margetis, Margherita Antona & Constantine Stephanidis. 2023. Human-Automation Interaction. Human-Automation Interaction 453 475 .
Pegah Karimi, Emanuele Plebani, Aqueasha Martin-Hammond & Davide Bolchini. (2022) Textflow : Toward Supporting Screen-free Manipulation of Situation-Relevant Smart Messages . ACM Transactions on Interactive Intelligent Systems 12:4, pages 1-29.
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Nicholas William Ciccone, Frederik L Dornonville de la Cour, Julia Rosemary Thorpe, Birgitte Hysse Forchhammer & Anja Maier. (2021) PERSONAL TECHNOLOGY USE AMONGST STROKE PATIENTS: UNDERSTANDING THE BEST PLATFORMS FOR THE DESIGN OF HEALTH INTERVENTIONS IN TREATMENT AND REHABILITATION. Proceedings of the Design Society 1, pages 2419-2428.
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Akif Khan & Shah Khusro. (2020) An insight into smartphone-based assistive solutions for visually impaired and blind people: issues, challenges and opportunities. Universal Access in the Information Society 20:2, pages 265-298.
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Sher Badshah, Arif Ali Khan, Shahid Hussain & Bilal Khan. (2020) What users really think about the usability of smartphone applications: diversity based empirical investigation. Multimedia Tools and Applications 80:6, pages 9177-9207.
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Joong Hee Lee, Yong Min Kim, Ilsun Rhiu & Myung Hwan Yun. (2021) A Persona-Based Approach for Identifying Accessibility Issues in Elderly and Disabled Users’ Interaction with Home Appliances. Applied Sciences 11:1, pages 368.
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Debasis Samanta & Tuhin Chakraborty. (2020) VectorEntry. ACM Transactions on Accessible Computing 13:3, pages 1-29.
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Masoumehsadat Hosseini, Hamid Reza Hamidi & Shokoh Kermanshahani. (2020) The impacts of situational impairment on touch gestures in public spaces: Walking in sunlight. Computers & Electrical Engineering 84, pages 106617.
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Ovidiu-Andrei Schipor & Adrian Aiordachioae. (2020) Engineering Details of a Smartglasses Application for Users with Visual Impairments. Engineering Details of a Smartglasses Application for Users with Visual Impairments.
Adrian Aiordachioae, Ovidiu-Andrei Schipor & Radu-Daniel Vatavu. (2020) An Inventory of Voice Input Commands for Users with Visual Impairments and Assistive Smartglasses Applications. An Inventory of Voice Input Commands for Users with Visual Impairments and Assistive Smartglasses Applications.
Norman E. Youngblood. (2018) Digital inclusiveness of health information websites. Universal Access in the Information Society 19:1, pages 69-80.
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Daniel Rocha, Vítor Carvalho, Filomena Soares & Eva Oliveira. 2020. IoT Technologies for HealthCare. IoT Technologies for HealthCare 52 63 .
Mostafa Elgendy, Cecilia Sik-Lanyi & Arpad Kelemen. (2019) Making Shopping Easy for People with Visual Impairment Using Mobile Assistive Technologies. Applied Sciences 9:6, pages 1061.
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Maria Doina Schipor & Radu-Daniel Vatavu. (2017) Coping strategies of people with low vision for touch input: A lead-in study. Coping strategies of people with low vision for touch input: A lead-in study.
Maria Doina Schipor & Radu-Daniel Vatavu. (2017) Neurobiological and neurocognitive models of vision for touch input on mobile devices. Neurobiological and neurocognitive models of vision for touch input on mobile devices.

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