System architecture for psychological customization of communication technology

Personalization is a process that changes the functionality, interface, information content, or appearance of a system to increase its personal relevance to an individual. Personalization systems accommodate individual's needs and interests explicitly through changes and selections initiated by the user, and implicitly through automatic adaptation techniques. Currently most of the emphasis in personalization systems is geared towards the utilitarian aspects of personalized information delivery. However, what is lacking is the customization of information based on its likely emotional and cognitive effects on different users of communication technology. Information presented to individual users or a group of users may be customized on the basis of the immediate emotional and cognitive types of psychological effects it is likely to enable or create in certain individuals or groups. Both content and its way of presentation (modality, visual layouts, ways of interaction, structure) may be varied. Despite obvious complexities empirical evidence suggests that the way of presenting information to certain psychological profiles has predictable psychological effects. For instance, one may facilitate positive emotion for users with certain personality type or more efficient learning for certain cognitive styles. This is the basic concept of mind-based technologies. Psychological customization may be considered an operationalization and technique of implementing the concept of mind-based technologies in system design. Psychological customization may be used for controlling social interaction-centric and individual-centric influence of the content and way of presentation of information on consequent and transient emotional and cognitive effects. This paper explores the design space and presents a basic system architecture to implement psychological customization.

[1]  Bruce Krulwich,et al.  LIFESTYLE FINDER: Intelligent User Profiling Using Large-Scale Demographic Data , 1997, AI Mag..

[2]  Thane S. Pittman,et al.  Perception Without Awareness , 1992 .

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

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

[5]  Marko Turpeinen,et al.  Logical structure of a hypermedia newspaper , 1997, Inf. Process. Manag..

[6]  Udi Manber,et al.  Experience with personalization of Yahoo! , 2000, CACM.

[7]  B. J. Fogg,et al.  Persuasive technology: using computers to change what we think and do , 2002, UBIQ.

[8]  Marko Turpeinen,et al.  Co-evolution of broadcast, Customized and Community-Created Media , 2003 .

[9]  Sami Jokela,et al.  Agents in Delivering Personalized Content Based on Semantic Metadata , 1999 .

[10]  N. Ravaja.  Presence-Related Influences of a Small Talking Facial Image on Psychophysiological Measures of Emotion and Attention , 2006 .

[11]  Louis Weitzman,et al.  Automatic presentation of multimedia documents using relational grammars , 1994, MULTIMEDIA '94.

[12]  Andrew F. Monk,et al.  Computers and fun , 1999, Pers. Ubiquitous Comput..

[13]  David Frohlich,et al.  Guest editorial: Computers and fun , 2005, Personal Technologies.

[14]  Alfred Kobsa,et al.  Personalised hypermedia presentation techniques for improving online customer relationships , 2001, The Knowledge Engineering Review.

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

[16]  L. Manovich,et al.  The language of new media , 2001 .

[17]  Brian D. Davison,et al.  Learning to personalize , 2000, CACM.

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

[19]  Henk Sol,et al.  Proceedings of the 54th Hawaii International Conference on System Sciences , 1997, HICSS 2015.

[20]  R. Schank,et al.  Knowledge and Memory: The Real Story , 1995 .

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

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

[23]  R. Bornstein,et al.  Perception without Awareness: Cognitive, Clinical and Social Perspectives , 1993 .

[24]  J. Schull.  The vice president , 1974 .

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

[26]  Thomas Erickson.  Designing agents as if people mattered , 1997 .

[27]  Marko Turpeinen,et al.  Facilitating Learning from News with Mind-Based Technologies. , 2004 .

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

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

[30]  Sami Jokela,et al.  The role of structured content in a personalized news service , 2001, Proceedings of the 34th Annual Hawaii International Conference on System Sciences.

[31]  Doug Riecken,et al.  Introduction: personalized views of personalization , 2000, CACM.

[32]  Paul Resnick,et al.  Recommender systems , 1997, CACM.

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

[34]  Timo Saari,et al.  Mind-based media and communications technologies. How the form of symbolical information influences felt meaning , 2001 .

[35]  Marko Turpeinen,et al.  Silver Stringers and Junior Journalists: Active information producers , 2000, IBM Syst. J..

[36]  P. R. Chesnais,et al.  The Fishwrap personalized news system , 1995, Proceedings of the Second International Workshop on Community Networking 'Integrated Multimedia Services to the Home'.

[37]  E. Horvitz,et al.  Personalised hypermedia presentation techniques for improving online customer relationships , 2001, The Knowledge Engineering Review.