Multimodal Feedback as a Solution to Ocular Disease-Based User Performance Decrements in the Absence of Functional Visual Loss

Human-Computer Interaction - INTERACT 2005

Shi

et al. 2005

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Abstract. The holistic understanding of human-computer interaction (HCI) is increasingly important, especially given the impending influx of older users who present dynamic needs that evolve with age. This study explores pupillary response behavior (PRB) during computer interaction to identify underlying differences between older adults of varying ocular profiles. PRB was measured from two groups of individuals diagnosed with Age-related Macular Degeneration (AMD) and a visually healthy control group. Unconventional analytical techniques -wavelet-based multifractal analyses -were used to identify PRB anomalies resulting from the effects of aging and/or ocular pathology. A distribution of regularity indices was extracted from the data signals to reveal signatures of PRB change patterns. One characteristic of the multifractal spectrum, Left Slope (LS), fully distinguished the user groups, revealing trends of increasing PRB irregularity with increasing levels of ocular dysfunction.

“…User group was the independent, between-subjects variable. A more detailed methodological description and performance summaries can be found in related work [1].…”

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

From Extraneous Noise to Categorizable Signatures: Using Multi-scale Analyses to Assess Implicit Interaction Needs of Older Adults with Visual Impairments

Moloney

Human-Computer Interaction - INTERACT 2005

Shi

et al. 2005

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“…Jacko and colleagues have completed several empirically-based studies demonstrating how measures of visual function influence direct manipulation (see [8] for a review). These studies have addressed the relative performance of a cohort of users with visual impairments due to ocular disease and a cohort of age-matched controls without ocular dysfunction on several desktop computer tasks.…”

Section: Icon Manipulation and Visual Impairmentmentioning

confidence: 99%

“…Previous work has demonstrated that interactions are strongly influenced by the nature and amount of residual vision a user possesses in combination with the computer interface characteristics (summarized in [8]). This underlying concept has spawned several theories of IT interaction for individuals with visual impairments: • IT solutions for individuals who are blind are typically inappropriate for individuals maintaining useful residual vision possessed by the user.…”

Section: Introductionmentioning

confidence: 99%

An exploratory investigation of handheld computer interaction for older adults with visual impairments

Proceedings of the 7th International ACM SIGACCESS Conference on Computers and Accessibility

Jacko

Pizzimenti

2005

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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 nontraditional information technology platforms, such as handheld computers.

“…Previously published studies report the different facets of these investigations. [7][8][9][10][11] The current study investigates the impact of auditory and haptic (tactile, i.e., mechanical vibration in the mouse) feedback on computer task performance of patients with AMD compared to control subjects with no known ocular disease.…”

mentioning

confidence: 99%

The Impact of Auditory and Haptic Feedback on Computer Task Performance in Patients With Age-Related Macular Degeneration and Control Subjects With No Known Ocular Disease

Jacko

Sainfort

et al. 2006

Retina

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