Paper Info
Title
Seeking common ground while reserving differences in gesture elicitation studies
Abstract
Gesture elicitation studies have been frequently conducted in recent years for gesture design. However, most elicitation studies adopted the frequency ratio approach to assign top gestures derived from end-users to the corresponding target tasks, which may cause the results get caught in local minima, i.e., the gestures discovered in an elicitation study are not the best ones. In this paper, we propose a novel approach of seeking common ground while reserving differences in gesture elicitation research. To verify this point, we conducted a four-stage case study on the derivation of a user-defined mouse gesture vocabulary for web navigation and then provide new empirical evidences on our proposed method, including 1) gesture disagreement is a serious problem in elicitation studies, e.g., the chance for participants to produce the same mouse gesture for a given target task without any restriction is very low, below 0.26 on average; 2) offering a set of gesture candidates can improve consistency; and 3) benefited from the hindsight effect, some unique but highly teachable gestures produced in the elicitation study may also have a chance to be chosen as the top gestures. Finally, we discuss how these findings can be applied to inform all gesture-based interaction design.
Year
DOI
Venue
2019
10.1007/s11042-018-6853-0
Multimedia Tools and Applications
Keywords
Field
DocType
User-defined gestures, Elicitation study, Mouse gesture, Web navigation
Interaction design,Pattern recognition,Computer science,Gesture,Maxima and minima,Human–computer interaction,Web navigation,Artificial intelligence,Common ground,Gesture elicitation,Vocabulary,Hindsight bias
Journal
Volume
Issue
ISSN
78.0
11
1573-7721
Citations 
PageRank 
References 
0
0.34
21
Authors
4
Name
Order
Citations
PageRank
huiyue wu1135.25
jiayi liu23612.70
Jiali Qiu321.73
Xiaolong Zhang427821.91