Conference proceeding
Supporting Content and Process Common Ground in Computer-Supported Teamwork
CHI2009: PROCEEDINGS OF THE 27TH ANNUAL CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, VOLS 1-4, pp 2339-2348
01 Jan 2009
Abstract
We build on our prior work with computer-supported teams performing a complex decision-making task on maps, where the distinction between content and process common ground is proposed. In this paper we describe a distributed geo-collaboration software prototype. The system design rationale was gleaned from fieldwork, literature on team cognition, and an earlier lab study introducing a reference task with face-to-face teams. We report on a controlled experiment that evaluates this design rationale. Distinct sets of measures show that that the prototype supported both content and process common ground, offsetting the costs imposed by the distributed setting. We interpret the results in relation to prior work on common ground and draw implications for moving beyond current models of sharing and coordination.
Metrics
Details
- Title
- Supporting Content and Process Common Ground in Computer-Supported Teamwork
- Creators
- Gregorio Convertino - Pennsylvania State UniversityHelena M. Mentis - Pennsylvania State UniversityMary Beth Rosson - Pennsylvania State UniversityAleksandra Slavkovic - Pennsylvania State UniversityJohn M. Carroll - Pennsylvania State University
- Contributors
- S Greenberg (Editor)S E Hudson (Editor)K Hinkley (Editor)M RingelMorris (Editor)D R Olsen (Editor)
- Publication Details
- CHI2009: PROCEEDINGS OF THE 27TH ANNUAL CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, VOLS 1-4, pp 2339-2348
- Publisher
- Assoc Computing Machinery
- Number of pages
- 10
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science (Informatics)
- Web of Science ID
- WOS:000265679301139
- Scopus ID
- 2-s2.0-84892459380
- Other Identifier
- 991021916914204721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Computer Science, Information Systems
- Computer Science, Theory & Methods
- Information Science & Library Science
- Management
- Social Issues