Understanding and Regulating Happy and Sad Emotional States in Driving Through Music
dc.contributor.author | Fang, Ziming | en |
dc.contributor.committeechair | Jeon, Myounghoon | en |
dc.contributor.committeemember | Lee, Sang Won | en |
dc.contributor.committeemember | Rho, Ha Rim | en |
dc.contributor.department | Computer Science and#38; Applications | en |
dc.date.accessioned | 2025-01-15T09:00:54Z | en |
dc.date.available | 2025-01-15T09:00:54Z | en |
dc.date.issued | 2025-01-14 | en |
dc.description.abstract | This research investigated the effects of happy and sad emotional states on driving performance and explored the utilization of auditory feedback to mitigate these effects, through two studies. Study 1 examined how induced emotions and musical interventions influence driving behavior and safety, using a 3 (emotion: neutral, happy, sad) x 3 (music: no music, happy music, sad music) mixed factorial design with 42 participants. Results revealed that both emotional states significantly influenced driving behavior - sad drivers exhibited reduced brake pedal force and higher perceived accident risk, while happy drivers maintained shorter following distances despite showing signs of overconfidence. Music emerged as an effective emotion regulation tool, particularly for sad drivers, with happy music significantly increasing happiness scores and improving driving performance. Study 2 built upon these findings by implementing real-time music-based sonification feedback that responds to driving performance through designed musical parameter mappings with 16 participants. Results revealed that participants' musical sophistication significantly influenced the effectiveness of the interventions - higher musical sophistication was associated with more stable following distances during happiness-enhanced music conditions. The findings suggest that effective emotion regulation through musical interventions requires consideration of both individual differences and real-time adaptation complexities. This work provides a foundation for developing more sophisticated and practical in-vehicle systems that can help regulate driver emotions while accounting for personal traits and real-world driving factors. | en |
dc.description.abstractgeneral | When we drive, our emotions can influence how safely we operate our vehicles. This research used a driving simulator to study how being happy or sad influences driving behavior and tested whether playing different types of music could help drivers stay in safer emotional states while driving and drive better. In our first study with 42 drivers, we found that both happiness and sadness influenced driving in important ways. Sad drivers pressed their brakes less and felt themselves more likely to get into accidents. Happy drivers followed closer behind other cars and seemed overconfident about their driving. However, we discovered that playing happy music helped sad drivers feel better and drive more safely. Based on these findings, our second study with 16 drivers tested music that changed while people drove. We created a system that adjusted how fast or high-pitched the music played based on how someone was driving. All drivers were first made to feel sad, and then we tried to make them feel happier or sadder by changing musical parameters. We found this worked especially well for people who had musical training or regularly played instruments - they kept a steadier distance from other cars when listening to happier music changes. This research helps us understand how to use music to help people drive more safely when they are feeling strong emotions, especially sadness. The results suggest that while music can help, it needs to be adapted to the individuals since everyone responds differently to different music. These findings could help create better in-vehicle systems in the future that use music to help drivers stay in safer emotional states while on the road. | en |
dc.description.degree | Master of Science | en |
dc.format.medium | ETD | en |
dc.identifier.other | vt_gsexam:42357 | en |
dc.identifier.uri | https://hdl.handle.net/10919/124193 | en |
dc.language.iso | en | en |
dc.publisher | Virginia Tech | en |
dc.rights | In Copyright | en |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en |
dc.subject | sonification | en |
dc.subject | driver affective state | en |
dc.subject | emotion | en |
dc.subject | in-vehicle audio | en |
dc.subject | music | en |
dc.title | Understanding and Regulating Happy and Sad Emotional States in Driving Through Music | en |
dc.type | Thesis | en |
thesis.degree.discipline | Computer Science & Applications | en |
thesis.degree.grantor | Virginia Polytechnic Institute and State University | en |
thesis.degree.level | masters | en |
thesis.degree.name | Master of Science | en |
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