A mobile lifelogging platform to measure anxiety and anger during real-life driving
DOI: 10.1109/percomw.2017.7917583
archive: archived pipeline: cataloged verified
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Summary
This paper addresses the health and safety risks associated with negative emotions, specifically anger and anxiety, during real-life driving. The authors argue that driver aggression contributes to traffic accidents and long-term cardiovascular issues, such as hypertension and coronary heart disease. To mitigate these risks, the study proposes a mobile lifelogging platform that provides objective, continuous measurement of physiological correlates of negative emotions. This approach aims to enhance driver self-awareness and support the development of adaptive coping strategies by linking emotional states to environmental triggers and physiological data, offering greater ecological validity than laboratory-based studies. The researchers developed a system using commercially available wearable sensors and mobile devices to collect data during daily commuter journeys. Thirteen participants (seven female, six male, aged 25–57) wore Shimmer3™ sensors equipped with electrocardiogram (ECG) electrodes and accelerometers, while a smartphone captured first-person photographs of the driving environment every three minutes. Participants recorded data for five working days, covering ten journeys (morning and evening commutes). The system processed ECG signals to calculate heart rate (HR) and high-frequency heart rate variability (HRV), while acceleration data was used to determine vehicle speed. Contextual features, such as traffic density and road complexity, were manually extracted from the photographs. Preliminary analysis focused on the relationship between mean vehicle speed and cardiovascular markers. Linear regression analysis revealed that for 77% of participants, lower mean speed (indicating journey impedance) was significantly associated with increased heart rate, interpreted as a marker of anger. Conversely, higher speeds were associated with lower HRV. While low HRV is typically linked to inflammation, the unexpected inverse relationship with speed was attributed to increased mental workload at higher velocities rather than inflammatory responses. The study also developed a prototype visualization tool that maps heart rate data against speed and photographic context to facilitate user self-reflection. The findings demonstrate that mobile lifelogging can effectively capture objective physiological markers of anger in naturalistic driving settings, specifically linking reduced speed to elevated heart rates. The study highlights the potential of such platforms to provide drivers with actionable insights into their emotional and physiological responses to traffic conditions. By moving beyond subjective self-reporting, this approach offers a biologically defined method for monitoring stress and negative affect. The authors conclude that further research is needed to evaluate how visualizing this data influences driver behavior and to assess the impact of specific roadway features on cardiovascular activity.
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| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | OpenAlex-citations | — | — | 1 | 2026-06-25 |
| archive | success | unpaywall | — | — | 2 | 2026-06-26 |
| extract | success | cached | — | — | 2 | 2026-06-26 |
| clean | success | clean | — | — | 1 | 2026-06-25 |
| chunk | success | chunk | — | — | 1 | 2026-06-25 |
| embed | success | embed | Qwen/Qwen3-Embedding-8B | — | 1 | 2026-06-25 |
| promote | success | — | — | — | 1 | 2026-06-25 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 1 | 2026-06-26 |
| tag | success | vector_similarity | — | — | 6 | 2026-06-25 |
| verify | success | — | — | — | 1 | 2026-06-26 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-26; verification: verified.
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- Empirical Findings: physiological data
- Methodological Resource: tool software