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Articles

Don’t Cry While You’re Driving: Sad Driving Is as Bad as Angry Driving

Pages 777-790 | Published online: 28 Jun 2016
 

ABSTRACT

While driving research on affect has mostly focused on anger and road rage, there has been little empirical research on other affective states. Affect researchers widely acknowledge the “sadder but wiser” phenomenon, but there is little evidence if this tendency can be applied to the driving environment as well. The objective of the present study is to empirically test whether sadness enhances driving performance as the sadder but wiser notion might predict or sadness impairs driving performance as its negative valence or low arousal dimension might predict. The study consists of a simulated driving experiment with induced anger, sadness, and neutral affect to examine how anger and sadness influence driving-related risk perception, driving performance, and perceived workload. Sixty-one young drivers drove under three different road conditions with either induced anger, sadness, or neutral affect conditions. After affect induction, there was no difference in subjective risk perception across three affect conditions. However, participants in both affect conditions showed significantly more errors and took longer driving time than those in the neutral condition. Only participants with induced anger reported significantly higher physical workload and frustration than participants with neutral affect. Results are discussed in terms of affect mechanisms, design directions for the in-vehicle affect mitigation system, and limitations of the study.

Notes

1 For multiple comparisons of within-subjects conditions, we can use either Bonferroni or Scheffe (Keppel & Wickens, Citation2004). Bonferroni is used when forming the contrasts without looking at the means. When researchers have already peeked at the means, which is the present case, Scheffe’s procedure is used. With either case, our results are the same. We used a corrected alpha level = 0.017 (0.05/3).

2 For multiple comparisons of between-subjects conditions, researchers use either Fisher’s Lease Significant Difference (LSD) Test or Tukey’s Honestly Significant Different (HSD) Test. I used Tukey HSD, which is usually more conservative. The Tukey test holds the familywise alpha across all pairwise comparisons at the chosen alpha level (Keppel & Wickens, Citation2004, pp. 120–121) (0.05 here). Again, with either method, our results are the same.

Additional information

Notes on contributors

Myounghoon Jeon

Myounghoon Jeon is an associate professor in Cognitive & Learning Sciences and Computer Science at Michigan Tech. He received his PhD from Georgia Tech in 2012. His Mind Music Machine Lab focuses on auditory displays, affective computing, accessible computing, aesthetic computing, and automotive user interface design research.

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