TY - JOUR
T1 - Design of a team emotion forecast tool for bettering individual emotional well-being and team performance
AU - Yang, Liying
AU - Qin, Sheng-feng
AU - Zhu, Ziwen
AU - Harrison, Daniel
AU - Woo, Wai Lok
N1 - Funding Information: This work was supported in part by the China Scholarship Council (CSC) under Grant 201906300082, and in part by the Newton Prize 2019 under Award NP2PB_100047.
PY - 2023/7/8
Y1 - 2023/7/8
N2 - Individual emotion can significantly impact one's well-being and a team's emotional environment can affect team performance. In addition, one's emotions in a team can affect others’ emotions. Thus, in order to have a positive team emotional state (environment) and avoid one's negative emotions propagating to others, a team emotion forecast tool is needed for teamwork management. How to design an easy-to-use team emotion forecast tool is our research question. In this study, we first propose to use keystroke and mouse dynamics as potentially effective signals to recognize emotions because of their ubiquity in the work environment, especially in remote work. And the emotion recognition process is non-intrusive and unobtrusive, which helps to identify emotions more objectively. Second, the user-centered design method is used to design such a tool/system. Third, a qualitative study has been conducted to analyze users’ demands and concerns. At last, a digital prototype has been designed and developed.
AB - Individual emotion can significantly impact one's well-being and a team's emotional environment can affect team performance. In addition, one's emotions in a team can affect others’ emotions. Thus, in order to have a positive team emotional state (environment) and avoid one's negative emotions propagating to others, a team emotion forecast tool is needed for teamwork management. How to design an easy-to-use team emotion forecast tool is our research question. In this study, we first propose to use keystroke and mouse dynamics as potentially effective signals to recognize emotions because of their ubiquity in the work environment, especially in remote work. And the emotion recognition process is non-intrusive and unobtrusive, which helps to identify emotions more objectively. Second, the user-centered design method is used to design such a tool/system. Third, a qualitative study has been conducted to analyze users’ demands and concerns. At last, a digital prototype has been designed and developed.
KW - Emotion forecast tool
KW - keystroke and mouse dynamics
KW - qualitative study
KW - quantitative study
KW - user-centered design
KW - visualization
UR - http://www.scopus.com/inward/record.url?scp=85169908205&partnerID=8YFLogxK
U2 - 10.1016/j.procir.2023.03.100
DO - 10.1016/j.procir.2023.03.100
M3 - Conference article
SN - 2212-8271
VL - 119
SP - 309
EP - 314
JO - Procedia CIRP
JF - Procedia CIRP
T2 - 33rd CIRP Design Conference
Y2 - 17 May 2023 through 19 May 2023
ER -