Affective Computing

Computers are beginning to acquire the ability to express and recognize affect, and may soon be given the ability to " have emotions. " The essential role of emotion in both human cognition and perception, as demonstrated by recent neurological studies, indicates that affective computers should not only provide better performance in assisting humans, but also might enhance computers' abilities to make decisions. This paper presents and discusses key issues in " affective computing, " computing that relates to, arises from, or influences emotions. Models are suggested for computer recognition of human emotion, and new applications are presented for computer-assisted learning, perceptual information retrieval, arts and entertainment, and human health and interaction. Affective computing, coupled with new wear-able computers, will also provide the ability to gather new data necessary for advances in emotion and cog-nition theory. Nothing in life is to be feared. It is only to be understood. – Marie Curie Emotions have a stigma in science; they are believed to be inherently non-scientific. Scientific principles are derived from rational thought, logical arguments, testable hypotheses, and repeatable experiments. There is room alongside science for " non-interfering " emotions such as those involved in curiosity, frustration, and the pleasure of discovery. In fact, much scientific research has been prompted by fear. Nonetheless, the role of emotions is marginalized at best. Why bring " emotion " or " affect " into any of the deliberate tools of science? Moreover, shouldn't it be completely avoided when considering properties to design into computers? After all, computers control significant parts of our lives – the phone system, the stock market, nuclear power plants, jet landings, and more. Who wants a computer to be able to " feel angry " at them? To feel contempt for any living thing? In this essay I will submit for discussion a set of ideas on what I call " affective computing, " computing that relates to, arises from, or influences emotions. This will need some further clarification which I shall attempt below. I should say up front that I am not proposing the pursuit of computerized cingulotomies 1 or even into the business of building " emotional computers ". 1 The making of small wounds in the ridge of the limbic system known as the cingulate gyrus, a surgical procedure to aid severely depressed patients. Nor will I propose answers to the difficult and intriguing questions , " …

[1]  Susanne K. Langer,et al.  Mind: An Essay on Human Feeling , 1968 .

[2]  Richard O. Duda,et al.  Pattern classification and scene analysis , 1974, A Wiley-Interscience publication.

[3]  Isaac Asimov The Bicentennial Man and Other Stories , 1976 .

[4]  Manfred Clynes,et al.  Sentics: The touch of emotions , 1977 .

[5]  Edward J. Sondik,et al.  The Optimal Control of Partially Observable Markov Processes over the Infinite Horizon: Discounted Costs , 1978, Oper. Res..

[6]  A. M. Turing,et al.  Computing Machinery and Intelligence , 1950, The Philosophy of Artificial Intelligence.

[7]  R. Plutchik A GENERAL PSYCHOEVOLUTIONARY THEORY OF EMOTION , 1980 .

[8]  G. Mandler THE GENERATION OF EMOTION: A PSYCHOLOGICAL THEORY , 1980 .

[9]  R. Zajonc On the primacy of affect. , 1984 .

[10]  G. Mandler Mind and Body: Psychology of Emotion and Stress , 1984 .

[11]  Orson Scott Card Speaker for the Dead , 1986 .

[12]  A. A. Tarkovskiĭ,et al.  Sculpting in Time: Reflections on the Cinema , 1986 .

[13]  J. Wurtman,et al.  Managing your mind and mood through food , 1986 .

[14]  Rolf Pfeifer,et al.  Artificial Intelligence Models of Emotion , 1988 .

[15]  Klaus R. Scherer,et al.  ASSESSING EMOTION BY QUESTIONNAIRE , 1989 .

[16]  A. Dale Magoun,et al.  Decision, estimation and classification , 1989 .

[17]  Chelsea C. White,et al.  A survey of solution techniques for the partially observed Markov decision process , 1991, Ann. Oper. Res..

[18]  K. Leidelmeijer,et al.  Emotions : an experimental approach , 1991 .

[19]  G. Reeke Marvin Minsky, The Society of Mind , 1991, Artif. Intell..

[20]  W. Lovejoy A survey of algorithmic methods for partially observed Markov decision processes , 1991 .

[21]  L. Rubin The Mechanism of Human Facial Expression , 1992 .

[22]  L. Camras Expressive development and basic emotions , 1992 .

[23]  Philip N. Johnson-Laird,et al.  The interaction between reasoning and decision making: an introduction , 1993, Cognition.

[24]  C. Izard,et al.  Four systems for emotion activation: cognitive and noncognitive processes. , 1993, Psychological review.

[25]  Iain R. Murray,et al.  Toward the simulation of emotion in synthetic speech: a review of the literature on human vocal emotion. , 1993, The Journal of the Acoustical Society of America.

[26]  Kris Popat,et al.  Novel cluster-based probability model for texture synthesis, classification, and compression , 1993, Other Conferences.

[27]  Larry S. Davis,et al.  Computing spatio-temporal representations of human faces , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[28]  Clifford Nass,et al.  Computers are social actors , 1994, CHI '94.

[29]  Irfan Essa,et al.  Analysis, interpretation and synthesis of facial expressions , 1995 .

[30]  Sean A. Spence,et al.  Descartes' Error: Emotion, Reason and the Human Brain , 1995 .

[31]  M. Lewis Self-Conscious Emotions , 2020, Encyclopedia of Personality and Individual Differences.

[32]  M. Rizzo The Man Who Tasted Shapes , 1995, Neurology.

[33]  The Neurological Side of Neuropsychology , 1996 .

[34]  Stewart Brand,et al.  How Buildings Learn: What Happens After They're Built , 1997 .