Study on the affective computing hierarchy model with personality features

Emotion is an important aspect of human intelligence and has been shown to play a significant role in the human decision-making process. Starting from the interaction between man and his environment, this paper studies the influence of environment on human body and human perception of surroundings. It further explores senses, emotions and feelings. This paper also makes a thorough research into human individual characters and gets an affective computing hierarchy model from the research on different guidance and response of different individual characters to the environmental stimulus. Human emotion changing process simulated by affective computing model obeys the rules of change regularity of human emotions. This paper provides a new mechanism to emotional decisions in Human-Computer Interaction system. It creates a good infrastructure for affective computing and it has some practical significance to the studies of D.A.R.Y.L. and Emotionally virtual human.

[1]  Cynthia LeRouge,et al.  Developing multimodal intelligent affective interfaces for tele-home health care , 2003, Int. J. Hum. Comput. Stud..

[2]  Andrew Ortony,et al.  The Cognitive Structure of Emotions , 1988 .

[3]  Philip R. Cohen,et al.  Emotional influences in memory and thinking: Data and theory , 1982 .

[4]  R. Gunderman,et al.  Emotional intelligence. , 2011, Journal of the American College of Radiology : JACR.

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

[6]  Joseph Bates,et al.  The role of emotion in believable agents , 1994, CACM.

[7]  Lu Hai INFORMATION RECOMMENDATION BASED ON CONTROL THEORY AND AFFECTIVE COMPUTING , 2002 .

[8]  P. Ekman An argument for basic emotions , 1992 .

[9]  C. Elliott The affective reasoner: a process model of emotions in a multi-agent system , 1992 .

[10]  H. Jones,et al.  Frames of Mind , 1969, Mental Health.

[11]  G. Fricchione Descartes’ Error: Emotion, Reason and the Human Brain , 1995 .

[12]  Rosalind W. Picard Affective Computing , 1997 .

[13]  Kerstin Dautenhahn,et al.  The Art of Designing Socially Intelligent Agents: Science, Fiction, and the Human in the Loop , 1998, Appl. Artif. Intell..

[14]  J. Forgas Mood and judgment: the affect infusion model (AIM). , 1995, Psychological bulletin.

[15]  J. Forgas Sad and guilty? Affective influences on the explanation of conflict in close relationships. , 1994 .

[16]  Aaron Sloman,et al.  Varieties of Affect and the CogAff Architecture Schema , 2001 .

[17]  Pattie Maes,et al.  Artificial life meets entertainment: lifelike autonomous agents , 1995, CACM.

[18]  N. Frijda,et al.  Can computers feel? Theory and design of an emotional system , 1987 .

[19]  Marvin Minsky,et al.  Society of Mind: A Response to Four Reviews , 1991, Artif. Intell..

[20]  K. Scherer Studying the emotion-antecedent appraisal process: An expert system approach , 1993 .

[21]  Dolores Cañamero,et al.  Modeling motivations and emotions as a basis for intelligent behavior , 1997, AGENTS '97.

[22]  V. V. Kim,et al.  Information theory of emotions in heuristic learning , 1987, Neuroscience and Behavioral Physiology.