ACM Home Page
Please provide us with feedback. Feedback
Gaze-based infotainment agents
Full text PdfPdf (543 KB)
Source
ACM International Conference Proceeding Series; Vol. 203 archive
Proceedings of the international conference on Advances in computer entertainment technology table of contents
Salzburg, Austria
SESSION: Games in new environments part 1 table of contents
Pages: 87 - 90  
Year of Publication: 2007
ISBN:978-1-59593-640-0
Authors
Helmut Prendinger  National Institute of Informatics: Tokyo, Tokyo, Japan
Tobias Eichner  University of Augsburg, Augsburg, Germany
Elisabeth André  University of Augsburg, Augsburg, Germany
Mitsuru Ishizuka  The University of Tokyo, Tokyo, Japan
Sponsors
ACM: Association for Computing Machinery
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 3,   Downloads (12 Months): 77,   Citation Count: 1
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Review this Article  
Save this Article to a Binder    Display Formats: BibTex  EndNote ACM Ref   
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1255047.1255064
What is a DOI?

ABSTRACT

We propose an infotainment presentation system that relies on eyegaze as an intuitive and unobtrusive input modality. The system analyzes eye movements in real-time to infer users' attention, visual interest, and preference regarding interface objects. The application consists of a virtual showroom where a team of two highly realistic 3D agents presents product items in an entertaining and attractive way. The presentation flow adapts to the user's attentiveness and interest, or lack thereof, and thus provides a more personalized and user-attentive experience of the presentation.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

1
 
2
N. Bee, H. Prendinger, A. Nakasone, E. André, and MIshizuka. AutoSelect: What You Want Is What You Get. all Real-time processing of visual attention and affect. In Tutorial and Research Workshop on Perception and Interactive all Technologies (PIT-06)}, pages 40--52. Springer LNCS 4021, 2006.
 
3
H.H. Clark and S.E. Brennan. Grounding in communication. In L.B. Resnick, J.M. Levine, and S.D. Teasley, editors, all Perspectives on Socially Shared Cognition, pages 127--149. APA Books, WA, 1991.
 
4
H.H. Clark and S.E. Brennan. Grounding in communication. In L.B. Resnick, J.M. Levine, and S.D. Teasley, editors, all Perspectives on Socially Shared Cognition, pages 127--149. APA Books, WA, 1991.
 
5
 
6
 
7
M. Nischt, H. Prendinger, E. André, and M. Ishizuka. MPML3D: a reactive framework for the Multimodal Presentation all Markup Language. In Proceedings 6th International Conference on Intelligent all Virtual Agents (IVA-06)}, Springer LNAI 4133, pages 218--229, 2006.
 
8
 
9
10
 
11
T. Rist, E. André, S. Baldes, P. Gebhard, M. Klesen, M. Kipp, P. Rist, and M. Schmitt. A review of the development of embodied presentation agents and their allappication fields. In Prendinger and Ishizuka Prendinger+Ishizuka.2004, pages 377--404.
 
12
Seeing Machines. Seeing Machines, 2005. http://www.seeingmachines.com/.
 
13
 
14
S. Shimojo, C. Simion, E. Shimojo, and C. Scheier. Gaze bias both reflects and influences preference. Nature Neuroscience, 6(12):1317--1322, 2003.
15
16
17
18
19


Collaborative Colleagues:
Helmut Prendinger: colleagues
Tobias Eichner: colleagues
Elisabeth André: colleagues
Mitsuru Ishizuka: colleagues