Mood Swings: An Affective Interactive Art System

The progress in the field of affective computing enables the realization of affective consumer products, affective games, and affective art. This paper describes the affective interactive art system Mood Swings, which interprets and visualizes affect expressed by a person. Mood Swings is founded on the integration of a framework for affective movements and a color model. This enables Mood Swings to recognize affective movement characteristics as expressed by a person and display a color that matches the expressed emotion. With that, a unique interactive system is introduced, which can be considered as art, a game, or a combination of both.

[1]  Julie A. Jacko HCI Intelligent multimodal interaction environments , 2007 .

[2]  J. Russell A circumplex model of affect. , 1980 .

[3]  Kristina Höök,et al.  Sense and sensibility: evaluation and interactive art , 2003, CHI '03.

[4]  Margrit Betke,et al.  Empathic painting: interactive stylization through observed emotional state , 2006, NPAR.

[5]  Tek-Jin Nam,et al.  Emotional Interaction Through Physical Movement , 2007, HCI.

[6]  Amy L. Parsons,et al.  Emotional Design: Why We Love (or Hate) Everyday Things , 2006 .

[7]  Anton Nijholt,et al.  Motivations, Strategies, and Movement Patterns of Video Gamers Playing Nintendo Wii Boxing , 2008 .

[8]  Rosalind W. Picard Affective computing: (526112012-054) , 1997 .

[9]  Ginevra Castellano,et al.  Expressive control of music and visual media by full-body movement , 2007, NIME '07.

[10]  E. Edmonds,et al.  Understanding the experience of interactive art: Iamascope in Beta_space , 2005 .

[11]  Kristina Höök,et al.  A foundation for emotional expressivity , 2005, DUX '05.

[12]  Veronica Zammitto,et al.  The Expressions of Colours , 2005, DiGRA Conference.

[13]  Paul Dourish,et al.  How emotion is made and measured , 2007, Int. J. Hum. Comput. Stud..

[14]  D. Norman Emotional design : why we love (or hate) everyday things , 2004 .

[15]  Martin R. Gibbs,et al.  Mediating intimacy: designing technologies to support strong-tie relationships , 2005, CHI.

[16]  Johannes Itten,et al.  Kunst der Farbe , 1983 .

[17]  E. Vesterinen,et al.  Affective Computing , 2009, Encyclopedia of Biometrics.

[18]  Norman I. Badler,et al.  Synthesis and acquisition of laban movement analysis qualitative parameters for communicative gestures , 2001 .

[19]  Antonio Camurri,et al.  Recognizing emotion from dance movement: comparison of spectator recognition and automated techniques , 2003, Int. J. Hum. Comput. Stud..