TY - GEN
T1 - Co-designed Data Management Application for Care Robots Privacy and Usability Perspectives
AU - Lavi, Shay
AU - Turgeman, Yuval
AU - Mannheim, Ittay
AU - Chassidim, Hadas
N1 - Publisher Copyright:
© IFIP International Federation for Information Processing 2026.
PY - 2026/1/1
Y1 - 2026/1/1
N2 - As life expectancy increases, there is a growing demand for technologies that can support the care and independence needs of older adults. Such assistive technologies as socially assistive robots (SARs) require a vast collection and use of data. However, existing interfaces frequently employ structured privacy frameworks that do not account for personalized preferences, and there is currently a research gap on how to better correspond to user’s intuitive expectations in relation to data and privacy management of care robots. This project proposes a participatory design approach that allows older users to adjust privacy settings. With the goal of exploring how better navigation and personalized settings can increase trust, improve usability, and support adoption. Following preliminary co-design workshops, three interface types were designed and tested with ten older adults who receive care: a basic interface, a guided wizard model, and a model with breadcrumb style navigation. The usability testing assessed task completion, clarity, and user satisfaction. The results demonstrate that participatory design significantly improves both usability and privacy perception, particularly in the Breadcrumb and Wizard interfaces, and guiding the discussion on user-centered SAR development.
AB - As life expectancy increases, there is a growing demand for technologies that can support the care and independence needs of older adults. Such assistive technologies as socially assistive robots (SARs) require a vast collection and use of data. However, existing interfaces frequently employ structured privacy frameworks that do not account for personalized preferences, and there is currently a research gap on how to better correspond to user’s intuitive expectations in relation to data and privacy management of care robots. This project proposes a participatory design approach that allows older users to adjust privacy settings. With the goal of exploring how better navigation and personalized settings can increase trust, improve usability, and support adoption. Following preliminary co-design workshops, three interface types were designed and tested with ten older adults who receive care: a basic interface, a guided wizard model, and a model with breadcrumb style navigation. The usability testing assessed task completion, clarity, and user satisfaction. The results demonstrate that participatory design significantly improves both usability and privacy perception, particularly in the Breadcrumb and Wizard interfaces, and guiding the discussion on user-centered SAR development.
KW - Care robots
KW - Older adults
KW - Participatory Design
KW - Privacy
KW - Usability
UR - https://www.scopus.com/pages/publications/105017125616
U2 - 10.1007/978-3-032-05005-2_32
DO - 10.1007/978-3-032-05005-2_32
M3 - Conference contribution
AN - SCOPUS:105017125616
SN - 9783032050045
T3 - Lecture Notes in Computer Science
SP - 635
EP - 644
BT - Human-Computer Interaction – INTERACT 2025 - 20th IFIP TC 13 International Conference, Proceedings
A2 - Ardito, Carmelo
A2 - Diniz Junqueira Barbosa, Simone
A2 - Conte, Tayana
A2 - Freire, André
A2 - Gasparini, Isabela
A2 - Palanque, Philippe
A2 - Prates, Raquel
PB - Springer Science and Business Media Deutschland GmbH
T2 - 20th IFIP TC 13 International Conference on Human-Computer Interaction, INTERACT 2025
Y2 - 8 September 2025 through 12 September 2025
ER -