Title
Gaze-Adaptive Lenses for Feature-Rich Information Spaces
Abstract
The inspection of feature-rich information spaces often requires supportive tools that reduce visual clutter without sacrificing details. One common approach is to use focus+context lenses that provide multiple views of the data. While these lenses present local details together with global context, they require additional manual interaction. In this paper, we discuss the design space for gaze-adaptive lenses and present an approach that automatically displays additional details with respect to visual focus. We developed a prototype for a map application capable of displaying names and star-ratings of different restaurants. In a pilot study, we compared the gaze-adaptive lens to a mouse-only system in terms of efficiency, effectiveness, and usability. Our results revealed that participants were faster in locating the restaurants and more accurate in a map drawing task when using the gaze-adaptive lens. We discuss these results in relation to observed search strategies and inspected map areas.
Year
DOI
Venue
2020
10.1145/3379155.3391323
ETRA '20: 2020 Symposium on Eye Tracking Research and Applications Stuttgart Germany June, 2020
DocType
ISBN
Citations 
Conference
978-1-4503-7133-9
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Fabian Goebel100.34
Kuno Kurzhals222720.63
Victor R. Schinazi301.69
Peter Kiefer422324.99
Martin Raubal5111281.28