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Journals ACM SIGCHI Bulletin Volume 31 Issue 4

CHI 99 SIG: Automated Data Collection for Evaluating Collaborative Systems Jill Drury, Tari Fanderclai, Frank Linton Motivation Issues Discussed: Automated measurements of events with emotional significance The purpose of this CH199 Special Interest Group (SIG) session was to share lessons learned about using automated logging techniques to collect data for evaluating collaborative (multi-user) systems. Automated logging techniques are frequently used in evaluating the human-computer interaction of single-user systems. There has been much less experience in using logging techniques for evaluating collaborative systems, thus prompting the SIG proposal. We discussed issues surrounding using logging systems, methods, arid metrics to collect data that are useful for evaluating collaborative systems. Procedure A SIG participant is in the process of designing an experiment using automated logging to capture whether the quality of internet users' interpersonal interactions degrades with increasingly greater use of the interact. He wishes to collect data while respecting a minimally acceptable level of privacy, and while not inducing artificial behaviors. The logging will take place in subjects' homes, and would ideally include information such as the number, duration, content of, and rationale for interactions with family members; the frequency and duration of internet sessions, and the subjects' emotional state

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CHI 99 SIG: automated data collection for evaluating collaborative systems

Drury, Jill; Fanderclai, Tari; Linton, Frank
ACM SIGCHI Bulletin , Volume 31 (4)
Association for Computing Machinery – Oct 1, 1999

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