TY - GEN
T1 - A virtual reality application for aggression de-escalation training in public transport
AU - Blankendaal, Romy A.M.
AU - Gerritsen, Charlotte
AU - Otte, Marco
AU - Bosse, Tibor
PY - 2018/11/8
Y1 - 2018/11/8
N2 - To train public transport employees to deal with aggressive passengers, simulation-based training can be a cost-effective instrument. Within this research a virtual reality training application for bus drivers has been developed. The application consists of 10 different scenarios that can be used to practice how to act during confrontations with aggressive passengers. During each scenario, the user will have a conversation through text and pre-recorded sentences with an intelligent virtual agent. In addition, during the training the user will have to determine the kind of aggression that is shown by the passenger, choose the right communication style and decide whether or not to report the incident at the end of the scenario. This paper describes the full development of the application and the scenarios, as well as the first experiences reported during a pilot study. Suggestions for improvement and future work are discussed.
AB - To train public transport employees to deal with aggressive passengers, simulation-based training can be a cost-effective instrument. Within this research a virtual reality training application for bus drivers has been developed. The application consists of 10 different scenarios that can be used to practice how to act during confrontations with aggressive passengers. During each scenario, the user will have a conversation through text and pre-recorded sentences with an intelligent virtual agent. In addition, during the training the user will have to determine the kind of aggression that is shown by the passenger, choose the right communication style and decide whether or not to report the incident at the end of the scenario. This paper describes the full development of the application and the scenarios, as well as the first experiences reported during a pilot study. Suggestions for improvement and future work are discussed.
KW - Aggression de-escalation training
KW - Human-agent interaction
KW - Intelligent virtual agents
KW - Public transport
KW - Virtual reality
UR - http://www.scopus.com/inward/record.url?scp=85072653226&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85072653226&partnerID=8YFLogxK
UR - https://bnaic2018.nl/wp-content/uploads/2018/11/bnaic2018-proceedings.pdf
M3 - Conference contribution
AN - SCOPUS:85072653226
T3 - Belgian/Netherlands Artificial Intelligence Conference
SP - 5
EP - 20
BT - BNAIC 2018
A2 - Atzmueller, M.
A2 - Duijvesteijn, W.
PB - BNAIC
T2 - 30th Benelux Conference on Artificial Intelligence, BNAIC 2018
Y2 - 8 November 2018 through 9 November 2018
ER -