Frustration in the face of the driver

Ihme, Klas; Dömeland, Christina; Freese, Maria; Jipp, Meike · 2018 · Crossref

DOI: 10.1075/is.17005.ihm

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Summary

This study investigates the facial muscle activity associated with driver frustration, aiming to identify specific facial markers that could enable advanced driver assistance systems to detect and mitigate this emotional state. Frustration is a significant precursor to aggressive driving and traffic crashes, yet prior research has largely focused on behavioral outcomes rather than the spontaneous facial expressions accompanying frustration during driving. The authors hypothesized that frustration, linked to the anger family of emotions, would manifest through specific Action Units (AUs) defined by the Facial Action Coding System (FACS), particularly in the brow and mouth regions. To test this, twenty-eight participants completed a driving simulator experiment involving six baseline drives and six experimental drives designed to induce either frustration or no frustration. The experimental design used a cover story involving parcel delivery with strict time limits. Frustrating conditions included traffic obstacles, red lights, and construction sites that prevented timely delivery, while non-frustrating conditions allowed for successful, timely deliveries. Participants’ faces were recorded via video, and their subjective emotional states were assessed using the Self-Assessment Manikin and the NASA-TLX frustration scale. One minute of video from the most frustrating and least frustrating drives for each participant was manually coded by certified FACS coders to count the frequency of specific AUs. The results confirmed that the experimental manipulation successfully induced higher frustration, negative valence, and arousal in the frustrating conditions compared to the non-frustrating ones. In terms of facial activity, the study found significantly higher frequencies of AU 23 (lip tightener) and AU 24 (lip pressor) during frustrated driving, indicating increased muscle activity in the mouth region. Contrary to hypotheses, AU 4 (brow lowerer) and AU 14 (dimpler) did not show significant differences between conditions, likely because brow lowering is also associated with concentration required for driving. An exploratory analysis further identified significant increases in AU 10 (upper lip raiser), AU 12 (lip corner puller), AU 17 (chin raiser), and AU 20 (lip stretcher) during frustration. The study concludes that facial muscle activity, particularly in the mouth area, serves as a reliable indicator of driver frustration. These findings provide a foundational dataset for developing automated recognition systems capable of detecting driver frustration in real-time. The authors suggest that future research should focus on validating these markers in real-world traffic settings, exploring the temporal dynamics of these expressions, and employing multimodal approaches to distinguish frustration from other negative affective states or cognitive loads.

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Summary generated by qwen3.6-27b-prismaquant on 2026-06-09; verification: verified.

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• anger road rage

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• Empirical Findings: physiological data