How does Fitts' law fit pointing and dragging?
CHI '90 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A comparison of input devices in element pointing and dragging tasks
CHI '91 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The design and evaluation of an auditory-enhanced scrollbar
CHI '94 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Movement characteristics using a mouse with tactile and force feedback
International Journal of Human-Computer Studies
American with Disabilities Act (ADA): human computer interactin for persons with disablities
CHI '94 Conference Companion on Human Factors in Computing Systems
Assets '98 Proceedings of the third international ACM conference on Assistive technologies
Visual profiles: a critical component of universal access
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Accuracy measures for evaluating computer pointing devices
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Drag-and-drop versus point-and-click mouse interaction styles for children
ACM Transactions on Computer-Human Interaction (TOCHI)
Solving multi-target haptic problems in menu interaction
CHI '01 Extended Abstracts on Human Factors in Computing Systems
Evolution of human-computer interaction: from Memex to Bluetooth and beyond
The human-computer interaction handbook
The SonicFinder: An Interface that Uses Auditory Icons (Abstract Only)
ACM SIGCHI Bulletin
Sonically-enhanced drag and drop
ICAD'98 Proceedings of the 1998 international conference on Auditory Display
Toward achieving universal usability for older adults through multimodal feedback
CUU '03 Proceedings of the 2003 conference on Universal usability
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Developing an assistive haptic framework for improving non-visual access to the web
ACM SIGACCESS Accessibility and Computing
Simple pen interaction performance of young and older adults using handheld computers
Interacting with Computers
Blind hero: enabling guitar hero for the visually impaired
Proceedings of the 10th international ACM SIGACCESS conference on Computers and accessibility
On the audio representation of distance for blind users
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A Usability Inspection of Medication Management in Three Personal Health Applications
HCD 09 Proceedings of the 1st International Conference on Human Centered Design: Held as Part of HCI International 2009
Improving users' comprehension of changes with animation and sound: an empirical assessment
INTERACT'07 Proceedings of the 11th IFIP TC 13 international conference on Human-computer interaction
Maintaining and modifying pace through tactile and multimodal feedback
Interacting with Computers
The effect of vibrotactile feedback on novice older adults in target selection tasks
EHAWC'11 Proceedings of the 2011th international conference on Ergonomics and health aspects of work with computers
Fat finger worries: how older and younger users physically interact with PDAs
INTERACT'05 Proceedings of the 2005 IFIP TC13 international conference on Human-Computer Interaction
Assessing a multimodal user interface in a target acquisition task
BCS-HCI '12 Proceedings of the 26th Annual BCS Interaction Specialist Group Conference on People and Computers
PlatMult: a multisensory platform with web accessibility features for low vision users
Proceedings of the 15th International ACM SIGACCESS Conference on Computers and Accessibility
Uma proposta para avaliar a interação multimodal para usuários com baixa visão
Proceedings of the 12th Brazilian Symposium on Human Factors in Computing Systems
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This study examines the effects of multimodal feedback on the performance of older adults with different visual abilities. Older adults possessing normal vision (n=29) and those who have been diagnosed with Age-Related Macular Degeneration (n=30) performed a series of drag-and-drop tasks under varying forms of feedback. User performance was assessed with measures of feedback exposure times and accuracy. Results indicated that for some cases, non-visual (e.g. auditory or haptic) and multimodal (bi- and trimodal) feedback forms demonstrated significant performance gains over the visual feedback form, for both AMD and normally sighted users. In addition to visual acuity, effects of manual dexterity and computer experience are considered.