ACM Home Page
Please provide us with feedback. Feedback
Improving recognition and characterization in groupware with rich embodiments
Full text PdfPdf (538 KB)
Source
Conference on Human Factors in Computing Systems archive
Proceedings of the SIGCHI conference on Human factors in computing systems table of contents
San Jose, California, USA
SESSION: Faces & bodies in interaction table of contents
Pages: 11 - 20  
Year of Publication: 2007
ISBN:978-1-59593-593-9
Authors
Tadeusz Stach  University of Saskatchewan, Saskatoon, SK, Canada
Carl Gutwin  University of Saskatchewan, Saskatoon, SK, Canada
David Pinelle  University of Saskatchewan, Saskatoon, SK, Canada
Pourang Irani  University of Manitoba, Winnipeg, MAN, Canada
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): 5,   Downloads (12 Months): 181,   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/10.1145/1240624.1240627
What is a DOI?

ABSTRACT

Embodiments are visual representations of people in a groupware system. Embodiments convey awareness information such as presence, location, and movement -- but they provide far less information than what is available from a real body in a face-to-face setting. As a result, it is often difficult to recognize and characterize other people in a groupware system without extensive communication. To address this problem, information-rich embodiments use ideas from multivariate information visualization to maximize the amount of information that is represented about a person. To investigate the feasibility of rich embodiment and their effects on group interaction, we carried out three studies. The first shows that users are able to recall and interpret a large set of variables that are graphically encoded on an embodiment. The second and third studies demonstrated rich embodiments in two groupware systems -- a multiplayer game and a drawing application -- and showed that the enhanced representations do improve recognition and characterization, and that they can enrich interaction in a variety of ways.


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
Argyle, M. Bodily Communication, 2nd ed. New York, NY: Methuen & Co., 1988.
 
2
 
3
 
4
Brand, S., Spacewar: Fanatic Life and Symbolic Death Among the Computer Bums, Rolling Stone, No. 123, 1972, 50--58.
5
 
6
Chernoff, H., The use of faces to represent points in k-dimensional space graphically, Journal of American Statistical Association, Vol. 68, 1973, 361--368.
 
7
 
8
Dyck, J., Pinelle, D., Brown, B., and Gutwin, C., Learning from Games: HCI Design Innovations in Entertainment Software, Proc. GI 2003, 237--246.
 
9
 
10
 
11
Gutwin, C. Traces: Visualizing the Immediate Past to Improve Group Interaction, Proc. GI 2002, 43--50.
 
12
 
13
Hartigan J., Printer graphics for clustering. J. Statistical Computing and Simulation, vol. 4, 1975, 187--213.
14
15
16
17
 
18
19
 
20
Tang, A., Neustaedter, C. Greenberg, S., VideoArms: Embodiments for Mixed Presence Groupware. Proc. BCS-HCI 2006.
21
22
 
23
Wickens, C., Engineering Psychology and Human Performance, New York: Harper Collins, 1992.
24


Collaborative Colleagues:
Tadeusz Stach: colleagues
Carl Gutwin: colleagues
David Pinelle: colleagues
Pourang Irani: colleagues