A framework of assistive pointers for low vision users
Assets '00 Proceedings of the fourth international ACM conference on Assistive technologies
Visual search and mouse-pointing in labeled versus unlabeled two-dimensional visual hierarchies
ACM Transactions on Computer-Human Interaction (TOCHI)
Unintended effects: varying icon spacing changes users' visual search strategy
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Effects of multimodal feedback on the performance of older adults with normal and impaired vision
ERCIM'02 Proceedings of the User interfaces for all 7th international conference on Universal access: theoretical perspectives, practice, and experience
Using participatory activities with seniors to critique, build, and evaluate mobile phones
Proceedings of the 9th international ACM SIGACCESS conference on Computers and accessibility
Simple pen interaction performance of young and older adults using handheld computers
Interacting with Computers
Investigating touchscreen accessibility for people with visual impairments
Proceedings of the 5th Nordic conference on Human-computer interaction: building bridges
Proceedings of the 11th international ACM SIGACCESS conference on Computers and accessibility
Proceedings of the 10th SIGPLAN symposium on New ideas, new paradigms, and reflections on programming and software
Designing a mobile diet diary application with and for older adults with AMD: a case study
BCS-HCI '13 Proceedings of the 27th International BCS Human Computer Interaction Conference
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This study explores factors affecting handheld computer interaction for older adults with Age-related Macular Degeneration (AMD). This is largely uncharted territory, as empirical investigations of human-computer interaction (HCI) concerning users with visual dysfunction and/or older adults have focused primarily on desktop computers. For this study, participants with AMD and visually-healthy controls used a handheld computer to search, select and manipulate familiar playing card icons under varied icon set sizes, inter-icon spacing and auditory feedback conditions. While all participants demonstrated a high rate of task completion, linear regression revealed several relationships between task efficiency and the interface, user characteristics and ocular factors. Two ocular measures, severity of AMD and contrast sensitivity, were found to be highly predictive of efficiency. The outcomes of this work reveal that users with visual impairments can effectively interact with GUIs on small displays in the presence of low-cost, easily implemented design interventions. This study presents a rich data set and is intended to inspire future work exploring the interactions of individuals with visual impairments with non-traditional information technology platforms, such as handheld computers.