Effects of Language on Angry drivers' Situation Awareness, Driving Performance, and Subjective Perception in Level 3 Automated Vehicles.
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| Title: | Effects of Language on Angry drivers' Situation Awareness, Driving Performance, and Subjective Perception in Level 3 Automated Vehicles. |
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| Authors: | Muhundan, Sushmethaa1 (AUTHOR), Jeon, Myounghoon1 (AUTHOR) myounghoonjeon@vt.edu |
| Source: | International Journal of Human-Computer Interaction. Sep2024, Vol. 40 Issue 18, p5454-5468. 15p. |
| Subjects: | Human information processing, Situational awareness, Native language, Automobile driving simulators, Rumination (Cognition) |
| Abstract: | Research shows that anger has a negative impact on cognition due to the rumination effect and in the context of driving, anger negatively impacts situation awareness, driving performance, and road safety. In-vehicle agents are capable of mitigating the effects of anger and subsequent effects on driving behavior. Language is another important aspect that influences information processing and human behavior during social interactions. This study aimed to explore the effects of the language of in-vehicle agents on angry drivers' situation awareness, driving performance, and subjective perception by conducting a within-subject driving simulator study. Twenty four young drivers drove three different laps in a level 3 automated vehicle with a native-language speaking agent (Hindi or Chinese), second-language speaking agent (English) and no agent. The results of this study are indicative of the importance of native language processing in the context of driving. The use of the participants' native language resulted in improved driving performance and heightened situation awareness. The participants preferred the native language agent over the other conditions and also expressed the need to control the state of the in-vehicle agent. The study results and discussions have theoretical and practical design implications and are expected to help foster future work in this domain. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Human-Computer Interaction is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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