@inproceedings{9f52733dde1b4668b9ba62280464f7ed,
title = "How Acceptable Is It to Monitor Driver State? Using the UTAUT Model to Analyse Drivers{\textquoteright} Perceptions Towards the System",
abstract = "This study aims to identify preliminary acceptance and usability goals of a Driver State Monitoring (DSM) system. To demonstrate willingness within a user group to employ DSM technology for the task it is designed to support, the acceptance of the system was investigated using Unified Theory of Acceptance and Use of Technology. Furthermore, a list of ten usability goals was composed and ranked by participants. In total, 95 responses were recorded. The sample consisted of participants of mixed gender and age (M = 34.81, SD = 9.32 years). The measurement and structure model of acceptance was appraised using Structural Equation Modelling. Overall, the model accounted for 22% of the variance in intention to use DSM technology. It was found that the Social Influence factor is the only significant predictor of Behaviour Intention to use a DSM system. To conclude, several implications for researchers and developers of DSM systems are suggested.",
keywords = "Acceptance, Driver State Monitoring, Human factors, Usability",
author = "Vadim Melnicuk and Stewart Birrell and Simon Thompson and Alex Mouzakitis and Paul Jennings",
year = "2019",
doi = "10.1007/978-3-319-93885-1_53",
language = "English",
isbn = "9783319938844",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer-Verlag London Ltd",
pages = "579--590",
editor = "Neville Stanton",
booktitle = "Advances in Human Aspects of Transportation - Proceedings of the AHFE 2018 International Conference on Human Factors in Transportation, 2018",
address = "United Kingdom",
note = "AHFE International Conference on Human Factors in Transportation, 2018 ; Conference date: 21-07-2018 Through 25-07-2018",
}