Determinants of Emotional Experiences in Traffic Situations ... - OPUS

More documents

Recommendations

Info

112 Emotional States of Drivers and Their Impact on Driving Behaviour! behaviour analysis. Over the course of the experiment, the scenarios were presented in four different orders to control for sequence effects. 4.3.1.3 Experimental Measures The driver was questioned about his/her emotion after the drive in order not to interrupt the participant and to prevent potential behavioural cues. Four pictures of the critical sections of the experimental drive were provided to help remind participants of the specific situations. Comparable to study 1, every situation was rated with a revised edition of the Geneva Emotion Wheel (GEW, Scherer, 2005; Oehl et al., 2010), covering 16 emotions suitable for the driving context and which had also been used in the first study. The participants were allowed to rate up to three different emotions within each critical situation on a Likert-scale ranging from 1 (weak emotion) to 5 (very strong emotion). The emotions were later analysed and compared with the specific driving behaviours displayed during the four critical situations. The same personal characteristics as in study one were assessed (gender, mileage as kilometres per year, driving motivation, DAS). Driving behaviour during the 2,200m was recorded after each of the four critical situations and, as in the first study, means of velocity (km/h) and longitudinal as well as lateral acceleration (m/s 2 ) were assessed as driving patterns. Speeding was measured as a % of how much it exceeded the speed limit over two sections of the track (700 m zone 70 km/h and 900 m zone 100 km/h after each event). 4.3.1.4 Apparatus & Procedure As in the first study, the StiSim 100 was used to carry out the experiment. Three training scenarios preceded the experimental drive. Directly after the experiment, the DAS was filled out and the emotions experienced were assessed using photos of the critical situations to help the participants to remember the specific situations (Gray & Watson, 2007). 4.3.2 Results Similar to study one, the data was analysed by using correlations (between anger and personal characteristics), multiple linear regressions and path analysis using SEM. 4.3.2.1 Occurrence of Drivers’ Reported Emotions and Personal Characteristics Anger was reported M = 2.23 times (SD = 1.08) (of a maximum of four situations) during the experiment. The mean intensity of anger experienced was M = 1.65 (SD = 1.01), which indicates a low intensity (compared to the 1 to 5 possible range of the GEW) but is slightly higher than anger levels in study one (M = 1.09). The means for the DAS M = 3.19 (SD = 0.50) and driving motivation in the tested population was at M = 3.97 (SD = 0.91), respectively.
Introducing a Multivariate Model for Predicting Driving Performance 113 4.3.2.2 Determinants of the Drivers’ Emotions: Personal Factors As also done in study one, the personal characteristics and anger were correlated with each other (Table 3). The means for trait driving anger measured with the DAS correlated positively with anger (r = .272; p < .015). Furthermore, among highly motivated drivers more intense anger was observed (r = .314, p < .005). Table 3: Correlations of personal characteristics and anger levels in the second study 1 2 3 4 5 1 Anger - 2 Gender -.119 - 3 Mileage .074 .14 - 4 Driving Motivation .314** -.214 .349*** - 5 DAS .272* -.196 .036 .160 - * p
Page 1 and 2:
Determinants of Emotional Experienc
Page 3 and 4:
Acknowledgements I would like to th
Page 5 and 6:
Abstract Emotions play a prominent
Page 7 and 8:
2.3.2.2.5 Testing H5 ..............
Page 9 and 10:
List of Tables Chapter 2: The Emoti
Page 11 and 12:
Introduction 11 1. Introduction 1.1
Page 13 and 14:
Introduction 13 (Deffenbacher et al
Page 15 and 16:
Introduction 15 emotions varies vas
Page 17 and 18:
Introduction 17 Therefore, a precis
Page 19 and 20:
Introduction 19 On the behavioural
Page 21 and 22:
Introduction 21 A coherent model of
Page 23 and 24:
Introduction 23 Chliaoutakis, J.E.,
Page 25 and 26:
Introduction 25 Giegling, I., Hartm
Page 27 and 28:
Introduction 27 Reason, J., Manstea
Page 29 and 30:
Introduction 29 Ulleberg, P., (2001
Page 31 and 32:
The Emotional Spectrum in Traffic S
Page 33 and 34:
Page 35 and 36:
Page 37 and 38:
Page 39 and 40:
Page 41 and 42:
Page 43 and 44:
Page 45 and 46:
Page 47 and 48:
Page 49 and 50:
49 The Emotional Spectrum in Traffi
Page 51 and 52:
Page 53 and 54:
Page 55 and 56:
Page 57 and 58:
Page 59 and 60:
Page 61 and 62: 61 The Emotional Spectrum in Traffi
Page 63 and 64: The Emotional Spectrum in Traffic S
Page 75 and 76: Emotional States of Drivers and The
Page 99 and 100: Introducing a Multivariate Model fo
Page 111: Introducing a Multivariate Model fo
Page 127 and 128: 127 General Conclusion impact is si
show all

Determinants of Emotional Experiences in Traffic Situations ... - OPUS

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?