On the necessity and feasibility of detecting a driver's emotional state while driving

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4738 LNCS, Issue , 2007, Pages 126-138

  Grimm, Michael ^a   Kroschel, Kristian ^a   Harris, Helen ^b   Nass, Clifford ^b   Schuller, Björn ^c   Rigoll, Gerhard ^c   Moosmayr, Tobias ^d  

^a UNIVERSITY OF KARLSRUHE   (Germany)

^b STANFORD UNIVERSITY   (United States)

^c TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^d BMW GROUP   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

FACE RECOGNITION; HUMAN COMPUTER INTERACTION; SPEECH ANALYSIS;

EMOTIONAL STATE; UTTERANCES;

AUTOMOBILE DRIVERS;

EID: 38049036813     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-74889-2_12     Document Type: Conference Paper

References (26)

1. Hitzenberger, L.: Man Machine Interaction in Car Information Systems. In: Proceedings of the First International Conference on Language Resources and Evaluation, Granada, pp. 179-182 (1998)
2. Jonsson, I.M., Nass, C., Harris, H., Takayama, L.: Matching In-Car Voice with Driver State: Impact on Attitude and Driving Performance. In: Proceedings of the Third International Driving Symposium on Human Factors in Driver Assessment, Training and Vehicle Design, pp. 173-181 (2005)
3. Nass, C., Jonsson, I.M., Harris, H., Reaves, B., Endo, J., Brave, S., Takayama, L.: Improving Automotive Safety by Pairing Driver Emotion and Car Voice Emotion. In: Proc. CHI (2005)
4. Jones, C., Jonsson, I.M.: Automatic recognition of affective cues in the speech of car drivers to allow appropriate responses. In: Proc. OZCHI (2005)
5. Schuller, B., Lang, M., Rigoll, G.: Recognition of Spontaneous Emotions by Speech within Automotive Environment. In: Proc. 32. Deutsche Jahrestagung für Akustik (DAGA), Braunschweig, Germany, pp. 57-58 (2006)
6. Schuller, B., Arsic, D., Wallhoff, F., Rigoll, G.: Emotion Recognition in the Noise Applying Large Acoustic Feature Sets. In: Proc. Speech Prosody, Dresden, Germany (2006)
7. Csikszentmihalyi, M.: Flow: The Psychology of Optimal Experience. Harper & Row, New York (1991)
8. Hirt, E., Melton, R., McDonald, H., Harackiewicz, J.: Processing goals, task interest, and the mood-performance relationship: A mediational analysis. Journal of Personality and Social Psychology 71, 245-261 (1996)
9. Groeger, J.: Understanding Driving: Applying Cognitive Psychology to a Complex Everyday Task. Psychology Press, Philadelphia, PA (2000)
10. Isen, A., Rosenzweig, A., Young, M.: The influence of positive affect on clinical problem solving. Medical Decision Making 11(3), 221-227 (1991)
11. Galovski, T., Blanchard, E.: Road rage: A domain for psychological intervention? Aggression and Violent Behavior 9(2), 105-127 (2004)
12. Gross, J., Levenson, R.: Emotion elicitation using films. Cognition & Emotion 9, 87-108 (1995)
13. Detenber, B., Reeves, B.: A bio-informational theory of emotion: Motion and image size effects on viewers. Journal of Communication 46(3), 66-84 (1996)
14. Izard, C.: Patterns of Emotions. Academic Press, New York (1972)
15. Nass, C., Gong, L.: Social aspects of speech interfaces from an evolutionary perspective: Experimental research and design implications. Communications of the ACM 43, 36-43 (2000)
16. Nass, C., Brave, S.: Wired for Speech: How Voice Activates and Enhances the Human-Computer Relationship. MIT Press, Cambridge, MA (2005)
17. Grimm, M., Kroschel, K.: Rule-based emotion classification using acoustic features. In: Proc. 3rd International Conference on Telemedicine and Multimedia Communication (ICTMC) (2005)
18. Lang, P.: The Cognitive Psychophysiology of Emotion: Anxiety and the Anxiety Disorders. Lawrence Erlbaum, Hillsdale, NJ (1985)
19. Grimm, M., Kroschel, K.: Evaluation of natural emotions using self assessment manikins. In: Proc. ASRU, pp. 381-385 (2005)
20. Grimm, M., Mower, E., Kroschel, K., Narayanan, S.: Primitives-based evaluation and estimation of emotions in speech. Speech Communication Journal, accepted for publication (2007)
21. Setiawan, P., Suhadi, S., Fingscheidt, T., Stan, S.: Robust Speech Recognition for Mobil Devices in Car Noise. In: Proc. Interspeech, Lisbon, Portugal (2005)
22. Grimm, M., Kroschel, K., Narayanan, S.: Support vector regression for automatic recognition of spontaneous emotions in speech. In: Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Proccessing (ICASSP) (Accepted for Publication) (2007)
23. Cowie, R., Douglas-Cowie, E., Tsapatsoulis, N., Votsis, G., Kollias, S., Fellenz, W., Taylor, J.: Emotion recognition in human-computer interaction. IEEE Signal Processing Magazine 18(1), 32-80 (2001)
24. Vapnik, V.: The Nature of Statistical Learning Theory. Springer, New York (1995)
25. Smola, A., Schölkopf, B.: A tutorial on support vector regression. Technical report, NeuroCOLT2 (1998)
26. Kammeyer, K.D., Kroschel, K.: Digitale Signalverarbeitung, 4th edn., Teubner Stuttgart (1998)