Abstract
If synthetic teammates are to be considered team players, then they must be better equipped to handle the subtleties of communication and coordination with their human teammates. In this study, the team communication behaviors of a human-automation team were analyzed for the identification of which are the best predictors of team performance. The LASSO (Least Absolute Shrinkage and Selection Operator) method was used to select the team communication behaviors that were the best predictors of team performance and, in the end, 16 such role related communication behaviors (at both the role and condition level) were included in the final model. Findings indicate that in general, negatively perceived communication behaviors are predictors of negative team performance. Through this study, we also learned that even when human team members follow their optimal and expected communication behaviors when communicating with a synthetic teammate, these behaviors are still predictors of negative team performance. This finding holds important future considerations: even if human team members are properly communicating with a synthetic teammate, the errors and lack of human-like behavior on the part of the latter can still result in a negative team performance.
| Original language | English (US) |
|---|---|
| Title of host publication | 2016 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support, CogSIMA 2016 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 28-34 |
| Number of pages | 7 |
| ISBN (Electronic) | 9781509006328 |
| DOIs | |
| State | Published - Jun 22 2016 |
| Event | 2016 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support, CogSIMA 2016 - San Diego, United States Duration: Mar 20 2016 → Mar 25 2016 |
Other
| Other | 2016 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support, CogSIMA 2016 |
|---|---|
| Country | United States |
| City | San Diego |
| Period | 3/20/16 → 3/25/16 |
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Keywords
- communication behaviors
- human-automation teaming
- synthetic teammate
- team coordination
ASJC Scopus subject areas
- Decision Sciences (miscellaneous)
- Cognitive Neuroscience
- Safety, Risk, Reliability and Quality
- Experimental and Cognitive Psychology
Cite this
Team communication behaviors of the human-automation teaming. / Demir, Mustafa; McNeese, Nathan J.; Cooke, Nancy.
2016 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support, CogSIMA 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 28-34 7497782.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Team communication behaviors of the human-automation teaming
AU - Demir, Mustafa
AU - McNeese, Nathan J.
AU - Cooke, Nancy
PY - 2016/6/22
Y1 - 2016/6/22
N2 - If synthetic teammates are to be considered team players, then they must be better equipped to handle the subtleties of communication and coordination with their human teammates. In this study, the team communication behaviors of a human-automation team were analyzed for the identification of which are the best predictors of team performance. The LASSO (Least Absolute Shrinkage and Selection Operator) method was used to select the team communication behaviors that were the best predictors of team performance and, in the end, 16 such role related communication behaviors (at both the role and condition level) were included in the final model. Findings indicate that in general, negatively perceived communication behaviors are predictors of negative team performance. Through this study, we also learned that even when human team members follow their optimal and expected communication behaviors when communicating with a synthetic teammate, these behaviors are still predictors of negative team performance. This finding holds important future considerations: even if human team members are properly communicating with a synthetic teammate, the errors and lack of human-like behavior on the part of the latter can still result in a negative team performance.
AB - If synthetic teammates are to be considered team players, then they must be better equipped to handle the subtleties of communication and coordination with their human teammates. In this study, the team communication behaviors of a human-automation team were analyzed for the identification of which are the best predictors of team performance. The LASSO (Least Absolute Shrinkage and Selection Operator) method was used to select the team communication behaviors that were the best predictors of team performance and, in the end, 16 such role related communication behaviors (at both the role and condition level) were included in the final model. Findings indicate that in general, negatively perceived communication behaviors are predictors of negative team performance. Through this study, we also learned that even when human team members follow their optimal and expected communication behaviors when communicating with a synthetic teammate, these behaviors are still predictors of negative team performance. This finding holds important future considerations: even if human team members are properly communicating with a synthetic teammate, the errors and lack of human-like behavior on the part of the latter can still result in a negative team performance.
KW - communication behaviors
KW - human-automation teaming
KW - synthetic teammate
KW - team coordination
UR - http://www.scopus.com/inward/record.url?scp=84981295721&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84981295721&partnerID=8YFLogxK
U2 - 10.1109/COGSIMA.2016.7497782
DO - 10.1109/COGSIMA.2016.7497782
M3 - Conference contribution
AN - SCOPUS:84981295721
SP - 28
EP - 34
BT - 2016 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support, CogSIMA 2016
PB - Institute of Electrical and Electronics Engineers Inc.
ER -