Scavenger hunt: An empirical method for mobile collaborative problem-solving

Michael Massimi; Craig H. Ganoe; John M. Carroll

doi:10.1109/MPRV.2007.20

Scavenger hunt: An empirical method for mobile collaborative problem-solving

Michael Massimi, Craig H. Ganoe, John M. Carroll

College of Information Sciences and Technology

Research output: Contribution to journal › Article › peer-review

7 Scopus citations

Abstract

The significance of scavenger hunt prototyping model for analysis of mobile collaborative problem-solving systems, is discussed. The scavenger hunt model allow programmers and system designers to analyze the effectiveness of their mobile collaborative problem-solving environments in a setting that offer a laboratory-like control during analysis of real-world problems faced by mobile users. The scavenger hunt model detects design flaws of the software. The scavenger hunt model allows participants to search for clues that form the basis of a logic puzzle. The model acts as an early-stage evaluation tool for iterating through designs of mobile collaborative problem-solving software and it enables software developers to check flaws of new installed software. The model avoids various problems of complex field studies and support mobility and collaboration testing in a controlled environment.

Original language	English (US)
Pages (from-to)	81-87
Number of pages	7
Journal	IEEE Pervasive Computing
Volume	6
Issue number	1
DOIs	https://doi.org/10.1109/MPRV.2007.20
State	Published - Jan 2007

All Science Journal Classification (ASJC) codes

Software
Computer Science Applications
Computational Theory and Mathematics

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10.1109/MPRV.2007.20

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Scavenger hunt: An empirical method for mobile collaborative problem-solving

Abstract

All Science Journal Classification (ASJC) codes

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