TY  - CONF
A1  - Heinbach, Christoph
A1  - Gravemeier, Laura Sophie
A1  - Dittmer, Anke
A1  - Kochon, Enrico
A1  - Gösling, Henning
A1  - Thomas, Oliver
A2  - Valacich, Joe S.
A2  - Barua, Anitesh
A2  - Wright, Ryan T.
A2  - Kankanhalli, Atreyi
A2  - Li, Xitong
A2  - Miranda, Shaila
T1  - The Truck Buddy: Towards a Mood-Based Truck Driver Assistance System.
T2  - Proceedings of the International Conference on Information Systems  (ICIS 2021).
N2  - Road freight transportation presents a vital element of our economies while heavy-duty truck drivers (HTDs) make use of emerging technologies for operations. However, the work environment of HTDs is yet characterized by time pressure, social isolation, and safety concerns. Surprisingly, scientific knowledge about driver’s well-being and mood enhancement scarcely exists in the context of IS. This paper addresses the research gap by the exploration of a mood-based truck driver assistance system (MTDAS) – the “Truck Buddy”. We establish a design science research (DSR) project to explore the requirements and design objectives of an MTDAS based on data from a comprehensive literature review and expert interviews. Our results indicate that a context-sensitive MTDAS can assist HTDs well-being by five design objectives enabling system integration, communication, mood-detection, automated driver support, and the provision of driver feedback. This first iteration step constitutes a foundation for further evaluations and developments within a continuous DSR process.
KW  - Driver Assistance Systems
KW  - Emotion Recognition
KW  - Artificial Intelligence
KW  - Truck Drivers
KW  - Human-Machine Interaction
Y1  - 2025
UR  - https://www.hb.fh-muenster.de/opus4/frontdoor/index/index/docId/18811
UR  - https://aisel.aisnet.org/icis2021/is_future_work/is_future_work/10/
SN  - 978-1-7336325-9-1
PB  - Association for Information Systems eLibrary
CY  - Atlanta, Georgia
ER  -