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Tytuł artykułu

Affective Computing-A Rationale for Measuring Mood With Mouse and Keyboard

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Emotions are an increasingly important factor in Human-Computer Interaction (HCI). Up to the present, emotion recognition in HCI implies the use of explicit or intrusive methods, for example, video cameras or physiological measurements. We are developing and evaluating a method for the measurement of affective states through motor-behavioral parameters from standard input devices (mouse and keyboard).
Rocznik
Strony
539--551
Opis fizyczny
Bibliogr. 31 poz., rys., tab.
Twórcy
  • Swiss Federal Institute of Technology Zurich, Switzerland
  • Swiss Federal Institute of Technology Zurich, Switzerland
autor
  • Swiss Federal Institute of Technology Zurich, Switzerland
autor
  • Swiss Federal Institute of Technology Zurich, Switzerland
Bibliografia
  • 1.Bradley, M.M., & Lang, P.J. (1994). Measuring emotion: The self-assessment manikin and the semantic differential. Journal of Behavior Therapy and Experimental Psychiatry, 25, 49-59.
  • 2.Brave, S., & Nass, C. (2003). Emotion in human-computer-interaction. In J.A. Jacko & A. Sears (Eds.), The human-computer interaction handbook (pp. 81-96). Mahvah, NJ, USA: Erlbaum.
  • 3.Center for the Study of Emotion and Attention. (1999). The international affective picture system. Gainesville, FL, USA: Center for Research in Psychophysiology, University of Florida.
  • 4.Clark, D.M. (1983). On the induction of depressed mood in the laboratory: Evaluation and comparison of the Velten and musical procedures. Advances in Behavior Research and Theory, 5, 27-49.
  • 5.Cowie, R., Douglas-Cowie, E., Tsapatsoulis, N., Votsis, G., Kollias, S., Fellenz, et al. (2001). Emotion recognition in human-computer interaction. IEEE Signal Processing Magazine, 18(1), 32-80.
  • 6.Derbaix, C., & Pecheux, C. (1999). Mood and children: Proposition of a measurement scale. Journal of Economic Psychology, 20, 571-591.
  • 7.Ekman, P. (1992). An argument for basic emotions. Cognition and Emotion, 6, 169-200.
  • 8.Ekman, P., Levenson, R.W., & Friesen, W.V. (1983). Autonomic nervous system activity distinguishes among emotions. Science, 221, 1208-1209.
  • 9.Forgas, J.P. (1995). Mood and judgments: The Affect Infusion Model (AIM). Psychological Bulletin, 117, 39-66.
  • 10.Forgas, J.P., & Moylan, S. (1987). After the movies: The effects of transient mood states on social judgments. Personality and Social Psychology Bulletin, 13, 478-489.
  • 11.Frijda, N.H. (1986). The emotions. Cambridge, UK: Cambridge University Press.
  • 12.Gerrards-Hesse, A., Spies, K., Hesse, F.W. (1994). Experimental inductions of emotional states and their effectiveness: A review. British Journal of Psychology, 85, 55-78.
  • 13.Gomez, P., & Danuser, B. (2002). Breathing responses to music and noises. International Journal of Psychophysiology, 45, 72-73.
  • 14.Gross, J.J., & Levenson, R.W. (1995). Emotion elicitation using films. Cognition and Emotion, 9(1), 87-108.
  • 15.Kramer, A.F. (1991). Physiological metrics of mental workload: A review of recent progress. In D.L. Damos (Ed.). Multiple-task-performance (pp. 329-360). London, UK: Taylor & Francis.
  • 16.Lang, P.J. (1980). Behavioral treatment and bio-behavioral assessment: Computer applications. In J.B. Sidowski, J.H. Johnson, & T.A. Williams (Eds.). Technology in mental health care delivery systems (pp. 119-137). Norwood, NJ, USA: Ablex.
  • 17.Lang, P.J., Bradley, M.M., & Cuthbert, B.N. (1990). Emotion, attention, and the startle reflex. Psychological Review, 97, 377-398.
  • 18.Lang, P.J., Greenwald, M.K., Bradley, M.M., & Hamm, A.O. (1993). Looking at pictures: Affective, facial, visceral, and behavioral reactions. Psychophysiology, 30, 261-273.
  • 19.LeDoux, J.E. (1995). Emotion: Clues from the brain. Annual Review of Psychology, 46, 209-235.
  • 20.Lockerd, A., & Mueller, F. (2001). Cheese: Tracking mouse movement activity on websites, a tool for user modeling. In CHI 2001 extended abstracts on human factors in computer systems, Seattle, Washington (pp. 279-280). New York, NY, USA: ACM Press.
  • 21.Mehrabian, A. (1970). A semantic space for nonverbal behavior. Journal of Consulting and Clinical Psychology, 35, 248-257.
  • 22.Mehrabian, A., & Russell, J.A. (1974). An approach to environmental psychology. Cambridge, MA, USA: MIT Press.
  • 23.Picard, R.W. (1997). Affective computing. Cambridge, MA, USA: MIT Press.
  • 24.Plutchik, R. (1980). A general psychoevolutionary theory of emotion. In R. Plutchik & H. Kellermans (Eds.), Emotion theory, research, and experience: Vol. 1, Theories of emotion (pp. 3-33). New York, NY, USA: Academic Press.
  • 25.Reeves, B., & Nass, C. (1996). The media equation. How people treat computers, television, and new media like real people and places. New York, NY, USA: Cambridge University Press.
  • 26.Russell, J.A. (1980). A circumplex model of affect. Journal of Personality and Social Psychology, 39, 1161-1178.
  • 27.Scheirer, J., Fernandez, R., Klein, J., & Picard, R.W. (2002). Frustrating the user on purpose: A step toward building an affective computer. Interacting with Computers, 14, 93-118.
  • 28.Schneider, F., Gur, R.C., Gur, R.E., & Muenz, L.R. (1994). Standardized mood induction with happy and sad facial expressions. Psychiatry Research, 51, 19-31.
  • 29.Steyer, R., Schwenkmezger, P., Notz, P., & Eid, M. (1997): Der Mehrdimensionale Befindlichkeitsfragebogen (MDBF) [Multi-dimensional mood questionnaire]. Göttingen, Germany: Hogrefe.
  • 30.Velten, E. (1968). A laboratory task for induction of mood states. Behaviour Research and Therapy, 6, 473-482.
  • 31.Wierzbicka, A. (1992). Talking about emotions: Semantics, culture, and cognition. Cognition and Emotion, 6, 285-319.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-fea21626-e18e-4ebf-91e7-48156e94d4f6
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