A comparison of input devices in element pointing and dragging tasks
CHI '91 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
User analysis in HCI—the historical lessons from individual differences research
International Journal of Human-Computer Studies
Assets '98 Proceedings of the third international ACM conference on Assistive technologies
Drag-and-drop versus point-and-click mouse interaction styles for children
ACM Transactions on Computer-Human Interaction (TOCHI)
IEEE Computational Science & Engineering
The role of visual and kinesthetic feedback in the prevention of mode errors
INTERACT '90 Proceedings of the IFIP TC13 Third Interational Conference on Human-Computer Interaction
HICSS '03 Proceedings of the 36th Annual Hawaii International Conference on System Sciences (HICSS'03) - Track 5 - Volume 5
Toward achieving universal usability for older adults through multimodal feedback
CUU '03 Proceedings of the 2003 conference on Universal usability
Task-evoked pupillary response to mental workload in human-computer interaction
CHI '04 Extended Abstracts on Human Factors in Computing Systems
Towards an index of opportunity: understanding changes in mental workload during task execution
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
CHI '05 Extended Abstracts 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
Sonically-enhanced drag and drop
ICAD'98 Proceedings of the 1998 international conference on Auditory Display
Measuring the task-evoked pupillary response with a remote eye tracker
Proceedings of the 2008 symposium on Eye tracking research & applications
Fixation-aligned pupillary response averaging
Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications
Wavelet-based 3-D multifractal spectrum with applications in breast MRI images
ISBRA'08 Proceedings of the 4th international conference on Bioinformatics research and applications
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The current ubiquity of information technology has increased variability among users, creating a corresponding need to properly capture and understand these individual differences. This study introduces a novel application of multifractal statistical methods to distinguish users via patterns of variability within high frequency pupillary response behavior (PRB) data collected during computer-based interaction. PRB was measured from older adults, including two groups diagnosed with age-related macular degeneration (AMD) maintaining a range of visual acuities (n = 14), and one visually healthy control group (i.e., disease-free, 20/20--20/32 acuity) (n = 14). Three measures of the multifractal spectrum, the distribution of regularity indices extracted from time series data, distinguished the user groups, including: 1) Spectral Mode; 2) Broadness; and 3) Left Slope. The results demonstrate a clear relationship between the values of these measures and the level of visual capabilities. These analytical techniques leverage the inherent complexity and richness of this high frequency physiological response data, which can be used to meaningfully differentiate individuals whose sensory and cognitive capabilities may be affected by aging and visual impairment. Multifractality analysis provides an objective, quantifiable means of uncovering and examining the underlying signatures in physiological behavior that may account for individual differences in interaction needs and behaviors.