DocumentCode :
1120784
Title :
Scavenger Hunt: An Empirical Method for Mobile Collaborative Problem-Solving
Author :
Massimi, Michael ; Ganoe, Craig H. ; Carroll, John M.
Author_Institution :
Dept. of Comput. Sci., Toronto Univ., Ont.
Volume :
6
Issue :
1
fYear :
2007
Firstpage :
81
Lastpage :
87
Abstract :
Pervasive computing enables field researchers to accomplish efficient field-work in teams that they once performed in isolation, over several trips, or not at all. Field researchers can deduce new information from findings they make while in the field, and apply it immediately to the situation at hand. This is especially important in fields where the time or resources to conduct several studies isn´t available. This domain can be termed mobile collaborative problem-solving. Mobile collaborative problem-solving is a young domain of study, and not much is known about how people can collaborate effectively in the field using computers. We suggest a scavenger hunt model that provides a viable prototyping method. A scavenger hunt is a typical mobile activity that both adults and children can perform. The ultimate goal was to use a scavenger hunt to unearth the software´s design flaws
Keywords :
groupware; mobile computing; program testing; software prototyping; team working; mobile collaborative problem-solving; pervasive computing; prototyping method; scavenger hunt; software design flaws; Collaboration; Collaborative software; Collaborative tools; Collaborative work; Control systems; Data analysis; Mobile computing; Pervasive computing; Problem-solving; Prototypes; Evaluation; collaboration; games; methodology; mobility; problem-solving; prototyping; scavenger hunt; ubiquitous computing; usability;
fLanguage :
English
Journal_Title :
Pervasive Computing, IEEE
Publisher :
ieee
ISSN :
1536-1268
Type :
jour
DOI :
10.1109/MPRV.2007.20
Filename :
4101146
Link To Document :
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