Towards the design of effective freehand gestural interaction for interactive TV
File(s)1603.08103v1.pdf (1.07 MB)
Accepted version
Author(s)
Ren, G
Li, W
O’Neill, E
Type
Journal Article
Abstract
As interactive devices become pervasive, people are beginning to look for more advanced interaction with televisions in the living room. Interactive television has the potential to offer a very engaging experience. But most common user tasks are still challenging with such systems, such as menu selection or text input, and little work has been done on understanding and supporting the effective design of freehand interaction with a TV in the domestic environment. In this paper, we report two studies investigating freehand gestural interaction with a consumer level sensor that is suitable for TV use scenarios. In the first study, we investigate a range of design factors for tiled layout menu selection, including wearable feedback, push gesture depth, target size and position in motor space. The results show that tactile and audio feedback have no significant effect on user performance and preference, and these results inform potential designs for high selection performance. In the second study, we investigate using freehand gestures for the common TV user task of text input. We design and evaluate two virtual keyboard layouts and three freehand selection methods. Results show that ease of use and error tolerance can both be achieved using a text entry method utilizing a dual circle layout and an expanding target selection technique. Finally, we propose design guidelines for effective, usable and comfortable freehand gestural interaction for interactive TV based on the findings.
Editor(s)
Lv, Z
Date Issued
2016-10-13
Date Acceptance
2016-10-01
Citation
Journal of Intelligent and Fuzzy Systems, 2016, 31 (5), pp.2659-2674
ISSN
1064-1246
Publisher
IOS Press
Start Page
2659
End Page
2674
Journal / Book Title
Journal of Intelligent and Fuzzy Systems
Volume
31
Issue
5
Copyright Statement
© 2016 – IOS Press and the authors. All rights reserved
Subjects
cs.HC
0801 Artificial Intelligence And Image Processing
1702 Cognitive Science
Artificial Intelligence & Image Processing
Publication Status
Published