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CHI 99 SIG: automated data collection for evaluating collaborative systems

CHI 99 SIG: automated data collection for evaluating collaborative systems 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 http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM SIGCHI Bulletin Association for Computing Machinery

CHI 99 SIG: automated data collection for evaluating collaborative systems

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Publisher
Association for Computing Machinery
Copyright
Copyright © 1999 by ACM Inc.
ISSN
0736-6906
DOI
10.1145/339290.339302
Publisher site
See Article on Publisher Site

Abstract

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

Journal

ACM SIGCHI BulletinAssociation for Computing Machinery

Published: Oct 1, 1999

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