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User acceptance of a decision-theoretic location-aware shopping guide
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Source International Conference on Intelligent User Interfaces archive
Proceedings of the 7th international conference on Intelligent user interfaces table of contents
San Francisco, California, USA
SESSION: Short Papers table of contents
Pages: 178 - 179  
Year of Publication: 2002
ISBN:1-58113-459-2
Authors
Thorsten Bohnenberger  Saarland University, Saarbrücken
Anthony Jameson  Research Center for AI, Saarbrücken
Antonio Krüger  Saarland University, Saarbrücken
Andreas Butz  Eyeled GmbH, Saarbrücken
Sponsors
SIGART: ACM Special Interest Group on Artificial Intelligence
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 3,   Downloads (12 Months): 33,   Citation Count: 4
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ABSTRACT

We are exploring a class of decision-theoretic handheld systems that give a user personalized advice about how to explore an indoor area in search of products or information. An initial user test in a simple mockup of a shopping mall showed that even novice PDA users accepted the system immediately and were able to achieve their shopping goals faster than when using a paper map of the mall. A key issue is the extent to which spontaneous user behavior can be accommodated within this framework.


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
J. Blythe. Decision-theoretic planning. AI Magazine, 20(2):37- 54, 1999.
2


Collaborative Colleagues:
Thorsten Bohnenberger: colleagues
Anthony Jameson: colleagues
Antonio Krüger: colleagues
Andreas Butz: colleagues

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