Expertise, trust, and virtual team performance : leveraging team composition for intelligent agent design
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. === Thesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2019 === Cataloged from student-submitted PDF version...
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ndltd-MIT-oai-dspace.mit.edu-1721.1-1223812019-10-06T03:11:31Z Expertise, trust, and virtual team performance : leveraging team composition for intelligent agent design Snelgrove, Kailah(Kailah Brianne) Julie A. Shah and Kimberly J. Ryan. Massachusetts Institute of Technology. Department of Aeronautics and Astronautics. Massachusetts Institute of Technology. Department of Aeronautics and Astronautics Aeronautics and Astronautics. This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. Thesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2019 Cataloged from student-submitted PDF version of thesis. Includes bibliographical references (pages 97-103). With technology-mediated communication becoming more prevalent in modern organizations, research efforts have turned toward mechanisms for improving virtual team performance. One approach considers incorporating intelligent machine agents into teams of humans as a means of influencing behaviors, ultimately leading to better performance outcomes. Such agents would require a robust representation of the factors influencing team performance in order to determine which behaviors are effective for a given context. At present, these factors are not well understood, and additional research is required in order to reliably predict their effects on team performance. In this thesis, we contribute to the virtual team literature by investigating the effects of team composition on performance, including (1) moderating effects on the relationship between team communication and performance, and (2) interaction effects between features of team composition and team performance. To this end, we conducted an experiment in which teams of participants competed in a data science competition. Two features of team composition, domain expertise and dispositional trust, were used as treatment factors for team assignments, and we measured the processes, emergent states, and performance outcomes of each team. Our results indicate that domain expertise moderates the relationship between communication and team performance, and there was evidence to suggest further interaction effects may exist which merit additional study. "the Air Force Research Laboratory (AFRL) and DARPA, who supported the work upon which this thesis is based under Contract No. FA8750-17-C- 0205"--Page 6 by Kailah Snelgrove. S.M. S.M. Massachusetts Institute of Technology, Department of Aeronautics and Astronautics 2019-10-04T21:30:58Z 2019-10-04T21:30:58Z 2019 2019 Thesis https://hdl.handle.net/1721.1/122381 1119733487 eng MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. http://dspace.mit.edu/handle/1721.1/7582 103 pages application/pdf Massachusetts Institute of Technology |
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Aeronautics and Astronautics. Snelgrove, Kailah(Kailah Brianne) Expertise, trust, and virtual team performance : leveraging team composition for intelligent agent design |
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This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. === Thesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2019 === Cataloged from student-submitted PDF version of thesis. === Includes bibliographical references (pages 97-103). === With technology-mediated communication becoming more prevalent in modern organizations, research efforts have turned toward mechanisms for improving virtual team performance. One approach considers incorporating intelligent machine agents into teams of humans as a means of influencing behaviors, ultimately leading to better performance outcomes. Such agents would require a robust representation of the factors influencing team performance in order to determine which behaviors are effective for a given context. At present, these factors are not well understood, and additional research is required in order to reliably predict their effects on team performance. In this thesis, we contribute to the virtual team literature by investigating the effects of team composition on performance, including (1) moderating effects on the relationship between team communication and performance, and (2) interaction effects between features of team composition and team performance. To this end, we conducted an experiment in which teams of participants competed in a data science competition. Two features of team composition, domain expertise and dispositional trust, were used as treatment factors for team assignments, and we measured the processes, emergent states, and performance outcomes of each team. Our results indicate that domain expertise moderates the relationship between communication and team performance, and there was evidence to suggest further interaction effects may exist which merit additional study. === "the Air Force Research Laboratory (AFRL) and DARPA, who supported the work upon which this thesis is based under Contract No. FA8750-17-C- 0205"--Page 6 === by Kailah Snelgrove. === S.M. === S.M. Massachusetts Institute of Technology, Department of Aeronautics and Astronautics |
author2 |
Julie A. Shah and Kimberly J. Ryan. |
author_facet |
Julie A. Shah and Kimberly J. Ryan. Snelgrove, Kailah(Kailah Brianne) |
author |
Snelgrove, Kailah(Kailah Brianne) |
author_sort |
Snelgrove, Kailah(Kailah Brianne) |
title |
Expertise, trust, and virtual team performance : leveraging team composition for intelligent agent design |
title_short |
Expertise, trust, and virtual team performance : leveraging team composition for intelligent agent design |
title_full |
Expertise, trust, and virtual team performance : leveraging team composition for intelligent agent design |
title_fullStr |
Expertise, trust, and virtual team performance : leveraging team composition for intelligent agent design |
title_full_unstemmed |
Expertise, trust, and virtual team performance : leveraging team composition for intelligent agent design |
title_sort |
expertise, trust, and virtual team performance : leveraging team composition for intelligent agent design |
publisher |
Massachusetts Institute of Technology |
publishDate |
2019 |
url |
https://hdl.handle.net/1721.1/122381 |
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AT snelgrovekailahkailahbrianne expertisetrustandvirtualteamperformanceleveragingteamcompositionforintelligentagentdesign |
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1719261717936996352 |