AutoEmotive: bringing empathy to the driving experience to manage stress
Open accessAbstract
With recent developments in sensing technologies, it's becoming feasible to comfortably measure several aspects of emotions during challenging daily life situations. This work describes how the stress of drivers can be measured through different types of interactions, and how the information can enable several interactions in the car with the goal of helping to manage stress. These new interactions could help not only to bring empathy to the driving experience but also to improve driver safety and increase social awareness.
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The AutoEmotive (MIT Media Lab) is a prototype equipped with sensors and a camera on the steering wheel that measures driver stress and fatigue and, when needed, plays background music, changes temperature and light, or proposes a less stressful journey.
“The AutoEmotive (MIT Media Lab) is a prototype equipped with sensors and a camera placed on the steering wheel [5].This vehicle measures the level of stress and fatigue of the driver.When the need arises, he puts a background music, changes the temperature and light in the vehicle interior, or still proposes to follow a less stressful journey.”
From Survey on AI-Based Multimodal Methods for Emotion Detection (2019) · cites this paper as [5]
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Cites
Detecting Stress During Real-World Driving Tasks Using Physiological Sensors
Healey, J. A., & Picard, R. W. (2005) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2005.848368 · Cited by 2,207 · see citing works
Self-citationAdvancements in Noncontact, Multiparameter Physiological Measurements Using a Webcam
Poh, M., McDuff, D., & Picard, R. W. (2010) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2010.2086456 · Cited by 1,488 · see citing works
Self-citationImproving automotive safety by pairing driver emotion and car voice emotion
Nass, C., Jonsson, I.-M., Harris, H., Reaves, B., Endo, J., Brave, S., & Takayama, L. (2005) · CHI '05 Extended Abstracts on Human Factors in Computing Systems · doi:10.1145/1056808.1057070 · Cited by 249 · see citing works
Call Center Stress Recognition with Person-Specific Models
Hernandez, J., Morris, R. R., & Picard, R. W. (2011) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-24600-5_16 · Cited by 210 · see citing works
Self-citationEmotion on the Road - Necessity, Acceptance, and Feasibility of Affective Computing in the Car
Eyben, F., Wöllmer, M., Poitschke, T., Schuller, B., Blaschke, C., Färber, B., & Nguyen-Thien, N. (2010) · Adv. Hum. Comput. Interact. · doi:10.1155/2010/263593 · Cited by 197 · see citing works
Modeling drivers’ speech under stress
Fernandez, R., & Picard, R. W. (2003) · Speech Communication · doi:10.1016/s0167-6393(02)00080-8 · Cited by 195 · see citing works
Self-citationHernandez, J., Paredes, P. E., Roseway, A., & Czerwinski, M. P. (2014) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/2556288.2557165 · Cited by 167 · see citing works
Self-citationMaclean, D. L., Roseway, A., & Czerwinski, M. P. (2013) · International Conference on PErvasive Technologies Related to Assistive Environments (PETRA) · doi:10.1145/2504335.2504406 · Cited by 136 · see citing works
On the Necessity and Feasibility of Detecting a Driver’s Emotional State While Driving
Grimm, M., Kroschel, K., Harris, H., Nass, C., Schuller, B. W., Rigoll, G., & Moosmayr, T. (2007) · Lecture notes in computer science · doi:10.1007/978-3-540-74889-2_12 · Cited by 96 · see citing works
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Survey on AI-Based Multimodal Methods for Emotion Detection
Marechal, C., Mikołajewski, D., Tyburek, K., Prokopowicz, P., Bougueroua, L., Ancourt, C., & Węgrzyn-Wolska, K. (2019) · Lecture Notes in Computer Science · doi:10.1007/978-3-030-16272-6_11 · Cited by 137 · see citing works
- Authors
- Hernandez, J., McDuff, D., Benavides, X., Amores, J., Maes, P., & Picard, R.
- Affiliations
- Massachusetts Institute of Technology (US)
- Venue
- Proceedings of the 2014 companion publication on Designing interactive systems
- Publisher
- ACM
- Published
- 2014-06-21
- Pages
- 53-56
- OpenAlex
- W2073669264
- Cited by
- 79
- References
- 9
- Citations by year
- 2026: 4 · 2025: 3 · 2024: 3 · 2023: 5 · 2022: 4 · 2021: 13 · 2020: 8 · 2019: 17 · 2018: 10 · 2017: 4 · 2016: 3 · 2015: 3 · 2014: 2
- FWCI
- 6.54
- Type
- conference paper
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- Locations
- ACM Conference Companion Publication on Designing Interactive Systems (DIS Companion) (publishedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc-sa)
- Funders
- Division of Computing and Communication Foundations (NSF CCF-1029585)
- Massachusetts Institute of Technology
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Emotion and Mood Recognition
- Social Sciences › Psychology › Social Psychology › Human-Automation Interaction and Safety
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Keywords
- driver stress, emotion measurement, in-vehicle interaction, stress management, driver safety, social awareness
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