Paper Info
Title
Applying The Cumulative Fatigue Model To Interaction On Large, Multi-Touch Displays
Abstract
Large touch displays have long been studied in the lab, and are beginning to see widespread deployment in public spaces. However, a common limitation is fatigue - often called 'gorilla arm' - that prevents users from working with large displays for extended periods of time. A first step towards addressing fatigue is quantifying it, and while methods have been developed to quantify users' fatigue in mid-air interactions, there remains little understanding of fatigue on touch-based interfaces. To address this gap, we evaluated the accuracy of Jang et al.' s mid-air Cumulative Fatigue model for touch interaction tasks on a large display. We found that their model underestimates subjective fatigue for multi-touch interaction, but can provide accurate estimates through fine-tuning of model parameters. We discuss the implications of this finding, and the need to further develop tools to evaluate fatigue on large, multi-touch displays.
Year
DOI
Venue
2018
10.1145/3205873.3205890
PROCEEDINGS PERVASIVE DISPLAYS 2018: THE 7TH ACM INTERNATIONAL SYMPOSIUM ON PERVASIVE DISPLAYS
Keywords
Field
DocType
fatigue, large displays, multi-touch
Software deployment,Computer science,Human–computer interaction,Multi-touch
Conference
Citations 
PageRank 
References 
0
0.34
28
Authors
3
Name
Order
Citations
PageRank
Zhe Liu16215.62
Daniel Vogel2127280.20
James R. Wallace329623.17