An analysis of facial movement tracking in ordinary human-computer interaction

Interacting with Computers

Volumn 16, Issue 5, 2004, Pages 879-896

  Ward, Robert ^a  

^a UNIVERSITY OF HUDDERSFIELD   (United Kingdom)

Author keywords

Affective computing; Anthropomorphic interfaces; Facial expression; Facial modelling; Usability

Indexed keywords

BRAIN; COMPUTER SOFTWARE; COMPUTER VISION; INTERFACES (COMPUTER); PATTERN RECOGNITION;

AFFECTIVE COMPUTING; FACIAL EXPRESSION; FACIAL MODELING; FACIAL MOVEMENT TRACKING;

HUMAN COMPUTER INTERACTION;

EID: 9544240370     PISSN: 09535438     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.intcom.2004.08.002     Document Type: Article

References (19)

1. Andreassi, J.L., 2000. Psychophysiology: Human Behavior and Physiological Response, fourth ed. Lawrence Erlbaum Associates, Mahwah, NJ.
2. Bianchi-Berthouze, N., Lisetti, C.L., 2002. Modelling multimodal expression of users' affective subjective experience. User Modeling and User-Adapted Interaction 12 (1), 49-84.
3. Conati, C., 2002. Probabilistic assessment of users' emotions in educational games. Applied Artificial Intelligence 16 (7/8), 555-575.
4. Ekman, P., Friesen, W.V., 1978. The Facial Action Coding System: a Technique for the Measurement of Facial Movement. Consulting Psychologists Press, Palo Alto, CA.
5. Essa, I., 1999. Computers seeing people. AI Magazine 20 (2), 69-82.
6. Essa, I., Pentland, A., 1997. Coding, analysis, interpretation and recognition of facial expressions. IEEE Transactions on Pattern Analysis and Machine Intelligence 19 (7), 757-763.
7. Eyematic Facestation. http://www.eyematic.com/products_facestation.html (accessed 15 September 2003). Since acquired by Neven Vision: http://www.nevenvision.com (accessed 23rd June 2004).
8. Hudlicka, E., McNeese, M., 2002. Assessment of user affective and belief states for interface adaptation: application to an air force pilot task. User Modelling and User-Adapted Interaction 12 (1), 1-47.
9. Kapoor, A., Picard, R.W., 2003. Fully-automatic upper facial action recognition, IEEE International Workshop on Analysis and Modeling of Faces and Gestures (AMFG2003), Nice, France, October 2003.
10. Lisetti, C.L., Schiano, D.J., 2000. Automatic facial expression interpretation: where human-computer interaction, artificial intelligence and cognitive science intersect. Pragmatics and Cognition (Special Issue on Facial Information Processing: A Multidisciplinary Perspective) 8 (1), 185-235.
11. Phillips, P.J., Grother, P., Micheals, R.J., Blackburn, D.M., Tabassi, E., Bone, J.M., 2002. Face Recognition Vendor Test 2002: Overview and Summary. http://www.frvt.org/DLs/FRVT_2002_Overview_and_Summary.pdf (last accessed 23 June 2004).
12. Picard, R.W., 1997. Affective Computing,. The MIT Press, Cambridge, MA.
13. Picard, R.W., Klein, J., 2002. Computers that recognise and respond to human emotion: theoretical and practical implications. Interacting with Computers 14 (2), 141-169.
14. Scheirer, J., Fernandez, R., Klein, J., Picard, R.W., 2002. Frustrating the user on purpose: a step towards building an affective computer. Interacting with Computers 14 (2), 93-118.
15. Ward, R.D., Marsden, P.H., 2003. Physiological responses to different web page designs. International Journal of Human Computer Studies 59 (1/2), 199-212.
16. Ward, R.D., Cahill, B., Marsden, P.H., Johnson, C.A., 2002. Physiological responses to HCI events - what produces them and how detectable are they?. Proceedings of HCI2002 2, 90-93.
17. Ward, R.D., Bell, D., Marsden, P.H., 2003. An exploration of facial expression tracking in affective HCI, in: Palanque, P., Johnson, P., O'Neill, E. (Eds.), People and Computers XVII: Designing for Society Proceedings of the HCI2003, pp. 383-399.
18. Wilson, G.M., Sasse, M.A., 2000. Do users always know what's good for them? Utilising physiological responses to assess media quality, in: McDonald, S., Waern, Y., Cockton, G. (Eds.), People and Computers XTV - Usability or Else! Proceedings of HCI2000. Springer, Berlin, pp. 327-339.
19. Yang, M-H., Ahuja, N., 2001. Face Detection and Gesture Recognition for Human-Computer Interaction, Kluwer International Series in Video Computing, vol. 1. Kluwer, Boston.