Mind-Based Technologies. A Framework for Producing Personalized Psychological Effects

Mind-Based Technologies are technologies that can facilitate immediate psychological effects, such as emotion, cognition, presence and flow in their users as they are consuming multimodal information. With personalization technologies one may vary the content and way of presenting information to enable targeted and personalized psychological effects. The key to producing such effects is to be able to model the users and predict how they may react to a particular content and way of presenting information (modalities, visual layouts, ways of interaction, user interface controls) within a certain context, task, communication device and user interface. Despite obvious complexities empirical evidence suggests that the way of presenting information to users with certain psychological profiles has predictable effects. Hence, one may propose new types of system designs that would tend to produce desired types of psychological effects for individual users by varying the way of presenting information. One possible application area of Mind-Based Technologies is decision-making systems for military use.

[1]  Byron Reeves,et al.  Negative video as structure: Emotion, attention, capacity, and memory , 1996 .

[2]  Christopher Buswell,et al.  Feeling is believing. , 1998, Nursing standard (Royal College of Nursing (Great Britain) : 1987).

[3]  M. Turpeinen.  Customizing News Content for Individuals and Communities , 2000 .

[4]  Annie Lang.  Involuntary Attention and Physiological Arousal Evoked by Structural Features and Emotional Content in TV Commercials , 1990 .

[5]  Marko Turpeinen,et al.  Towards Psychological Customization of Information for Individuals and Social Groups , 2004, Designing Personalized User Experiences in eCommerce.

[6]  Clifford Nass,et al.  Emotion in human-computer interaction , 2002 .

[7]  J. Krosnick,et al.  Subliminal Conditioning of Attitudes , 1992 .

[8]  Yochai Benkler,et al.  From Consumers to Users: Shifting the Deeper Structures of Regulation Toward Sustainable Commons and User Access , 2000 .

[9]  Pattie Maes,et al.  Social information filtering: algorithms for automating “word of mouth” , 1995, CHI '95.

[10]  Gerald L. Glore,et al.  Emotions and Beliefs: Feeling is believing: Some affective influences on belief , 2000 .

[11]  W. Bechtel,et al.  A companion to cognitive science , 1999 .

[12]  Michael P. Barnett,et al.  Mechanization of tedious algebra: the Newcomb operators of planetary theory , 1965, CACM.

[13]  M. Csíkszentmihályi,et al.  Optimal experience: Psychological studies of flow in consciousness. , 1988 .

[14]  Matthew Lombard,et al.  At the Heart of It All: The Concept of Presence , 2006 .

[15]  J. Durlak.  The Language of New Media , 2002 .

[16]  T. K. Clarke,et al.  A New Perspective of Subliminal Perception , 1985 .

[17]  Clifford Nass,et al.  The media equation - how people treat computers, television, and new media like real people and places , 1996 .

[18]  J..  A COGNITIVE SYSTEMS ENGINEERING APPROACH TO THE DESIGN OF DECISION SUPPORT SYSTEMS , 2005 .

[19]  M. Oliver.  Contributions of sexual portrayals to viewers’ responses to graphic horror , 1994 .