Title data
Walter, Robert ; Bulling, Andreas ; Lindlbauer, David ; Schuessler, Martin ; Müller, Jörg:
Analyzing visual attention during whole body interaction with public displays.
In:
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing. -
New York
: ACM
,
2015
. - pp. 1263-1267
ISBN 978-1-4503-3574-4
DOI: https://doi.org/10.1145/2750858.2804255
Abstract in another language
While whole body interaction can enrich user experience on public displays, it remains unclear how common visualizations of user representations impact users’ ability to perceive content on the display. In this work we use a head-mounted eye tracker to record visual behavior of 25 users interacting with a public display game that uses a silhouette user representation, mirroring the users’ movements. Results from visual attention analysis as well as post-hoc recall and recognition tasks on display contents reveal that visual attention is mostly on users’ silhouette while peripheral screen elements remain largely unattended. In our experiment, content attached to the user representation attracted significantly more attention than other screen contents, while content placed at the top and bottom of the screen attracted significantly less. Screen contents attached to the user representation were also significantly better remembered than those at the top and bottom of the screen.
Further data
Item Type: | Article in a book |
---|---|
Refereed: | Yes |
Institutions of the University: | Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science VIII > Chair Applied Computer Science VIII - Univ.-Prof. Dr. Jörg Müller Faculties Faculties > Faculty of Mathematics, Physics und Computer Science Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science VIII |
Result of work at the UBT: | No |
DDC Subjects: | 000 Computer Science, information, general works |
Date Deposited: | 18 Jan 2019 09:14 |
Last Modified: | 18 Jan 2019 09:14 |
URI: | https://eref.uni-bayreuth.de/id/eprint/42107 |