TY - GEN
T1 - Who knows what in my team? – an interactive visualization-based instrument for developing transactive memory systems in teams
AU - Gammel, Josef H.
AU - Pantfoerder, Dorothea
AU - Schulze, Timon
AU - Kugler, Katharina G.
AU - Brodbeck, Felix C.
N1 - Publisher Copyright:
© Springer Nature Switzerland AG 2020.
PY - 2020
Y1 - 2020
N2 - To be successful, a team must effectively use the individual knowledge that is distributed among its members. The theory of the transactive memory system (TMS) explains how such distributed knowledge is socially organized and exploited to the benefit of the whole team. In this paper, we focus on the concept and design of a visualization-based instrument for TMS development in teams that is grounded in TMS theory. More specifically, we develop a theoretical framework and concept for computer-supported TMS development on the basis of visualization and present a web-based interactive TMS visualization system and instrument for developing TMSs in small teams. The instrument consists of a step-by-step diagnosis, intervention, and evaluation of a TMS and helps teams to strengthen their TMS structure (i.e., knowing who knows what) and TMS processes (i.e., communication to update, encode, and retrieve knowledge). We explain how practitioners can use the here presented instrument for the assessment and development of TMSs and make suggestions for future research.
AB - To be successful, a team must effectively use the individual knowledge that is distributed among its members. The theory of the transactive memory system (TMS) explains how such distributed knowledge is socially organized and exploited to the benefit of the whole team. In this paper, we focus on the concept and design of a visualization-based instrument for TMS development in teams that is grounded in TMS theory. More specifically, we develop a theoretical framework and concept for computer-supported TMS development on the basis of visualization and present a web-based interactive TMS visualization system and instrument for developing TMSs in small teams. The instrument consists of a step-by-step diagnosis, intervention, and evaluation of a TMS and helps teams to strengthen their TMS structure (i.e., knowing who knows what) and TMS processes (i.e., communication to update, encode, and retrieve knowledge). We explain how practitioners can use the here presented instrument for the assessment and development of TMSs and make suggestions for future research.
KW - Computer-supported team development
KW - Network visualization
KW - Transactive memory system
UR - http://www.scopus.com/inward/record.url?scp=85088912894&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-50506-6_41
DO - 10.1007/978-3-030-50506-6_41
M3 - Conference contribution
AN - SCOPUS:85088912894
SN - 9783030505059
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 600
EP - 614
BT - Learning and Collaboration Technologies. Human and Technology Ecosystems - 7th International Conference, LCT 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Proceedings
A2 - Zaphiris, Panayiotis
A2 - Ioannou, Andri
A2 - Ioannou, Andri
PB - Springer
T2 - 7th International Conference on Learning and Collaboration Technologies, LCT 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020
Y2 - 19 July 2020 through 24 July 2020
ER -