ACM Home Page
Please provide us with feedback. Feedback
'Do you smell rotten eggs?': evaluating interactions with mobile agents in crisis response situations
Full text PdfPdf (190 KB)
Source
ACM International Conference Proceeding Series archive
Proceedings of the 11th International Conference on Human-Computer Interaction with Mobile Devices and Services table of contents
Bonn, Germany
POSTER SESSION: Posters table of contents
Article No. 89  
Year of Publication: 2009
ISBN:978-1-60558-281-8
Authors
Andi Winterboer  Universiteit van Amsterdam, Amsterdam, The Netherlands
Henriette S. M. Cramer  Universiteit van Amsterdam, Amsterdam, The Netherlands
Gregor Pavlin  Thales Research & Technology, D-CIS Lab, Delft, The Netherlands
Frans C. A. Groen  Universiteit van Amsterdam, Amsterdam, The Netherlands
Vanessa Evers  Universiteit van Amsterdam, Amsterdam, The Netherlands
Sponsors
SIGCHI : Specialist Interest Group in Computer-Human Interaction of the ACM
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 12,   Downloads (12 Months): 12,   Citation Count: 0
Additional Information:

abstract   references   index terms  

Tools and Actions: Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1613858.1613961
What is a DOI?

ABSTRACT

In this paper, we present ongoing research concerning the interaction between users and autonomous mobile agents in the environmental monitoring domain. The overarching project, DIADEM, deals with developing a system that detects potentially hazardous situations in populated industrial areas using input from both a distributed sensor network and humans through mobile devices. We propose a model of interaction with the gas detection system where concerned citizens communicate with a mobile agent to inform the gas monitoring system about unusual smells via their mobile phones. Next, we present a preliminary user requirements analysis based on 40 phone calls from members of the public to an environmental monitoring agency. Finally, we introduce measures to study the delicate long-term social relationship between users and the gas monitoring system.


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
Brave, S. Nass, C., and Hutchinson, K. 2005. Computers that care: investigating the effects of orientation of emotion exhibited by an embodied computer agent. International Journal of Human--Computer Studies. 62, 161--178.
 
2
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319--340.
 
3
Fogg, B. J. and Eckles, D. 2007. Mobile Persuasion: 20 Perspectives on the Future of Influence. Stanford Captology Media.
 
4
Jameson, A. 2003. Adaptive interfaces and agents. In: Jacko, J., Sears, A. (eds.) The Human-Computer Interaction Handbook: Fundamentals, Evolving Technologies and Emerging Applications, pp. 305--330. Erlbaum, Mahwah, NJ
 
5
Kung, H., Ku, H., Wu, C. and Lin, C. 2008. Intelligent and situation-aware pervasive system to support debris-flow disaster prediction and alerting in Taiwan. Network and Computer Applications, 31, 1--18.
 
6
Lee, J. D., See, K. A. 2004. Trust in automation: designing for appropriate reliance. Human Factors, 42(1), 50--80
 
7
Nass, C., Steuer, J. and Tauber, E. R. 1994. Computers are social actors. Proceedings of the SIGCHI conf. on Human factors in comput. systems, CHI'94. ACM Press, pp. 72--78.
 
8
Partala, T., Surakka, V., and Lahti, J. 2004. Affective Effects of Agent Proximity in Conversational Systems. In Proc. of NordiCHI 2004, Tampere, Finland, ACM Press, 353--356.