Title
User-defined gesture interaction for in-vehicle information systems
Abstract
Gesture elicitation study, a technique emerging from the field of participatory design, has been extensively applied in emerging interaction and sensing technologies in recent years. However, traditional gesture elicitation study often suffers from the gesture disagreement and legacy bias problem and may not generate optimal gestures for a target system. This paper reports a research project on user-defined gestures for interacting with in-vehicle information systems. The main contribution of our research lies in a 3-stage, participatory design method we propose for deriving more reliable gestures than traditional gesture elicitation methods. Using this method, we generated a set of user-defined gestures for secondary tasks in an in-vehicle information system. Drawing on our research, we develop a set of design guidelines for freehand gesture design. We highlight the implications of this work for the gesture elicitation for all gestural interfaces.
Year
DOI
Venue
2020
10.1007/s11042-019-08075-1
Multimedia Tools and Applications
Keywords
Field
DocType
User-defined gestures, Elicitation study, Legacy bias, Gesture disagreement, Gesture-based user interaction for in-vehicle information system
Information system,Computer vision,Participatory design,Computer science,Gesture,Human–computer interaction,Artificial intelligence,Gesture elicitation
Journal
Volume
Issue
ISSN
79
1
1380-7501
Citations 
PageRank 
References 
2
0.38
0
Authors
5
Name
Order
Citations
PageRank
huiyue wu1135.25
Yu Wang241.77
jiayi liu33612.70
Jiali Qiu421.73
Xiaolong (Luke) Zhang541.07