Artificial companion and acceptability a problem of design?

We are in front of an evolution from traditional human-computer interactions to a kind of intense exchange between the human user and new generation of artificial systems. These systems can be virtual, Embodied Conversational Agents (ECAs), or real systems robots. We call these systems “artificial companions” that is to say systems with which the user wants to build a kind of life-long relationship.

[1]  B A Huberman,et al.  Evolutionary games and computer simulations. , 1993, Proceedings of the National Academy of Sciences of the United States of America.

[2]  Brad A. Myers,et al.  A brief history of human-computer interaction technology , 1998, INTR.

[3]  Daizhan Cheng,et al.  Input-state incidence matrix of Boolean control networks and its applications , 2010, Syst. Control. Lett..

[4]  Charles R. Johnson,et al.  Matrix analysis , 1985, Statistical Inference for Engineers and Data Scientists.

[5]  S. Kauffman Metabolic stability and epigenesis in randomly constructed genetic nets. , 1969, Journal of theoretical biology.

[6]  Fred D. Davis Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[7]  Cristina Ramponi,et al.  The amygdala response to images with impact. , 2009, Social cognitive and affective neuroscience.

[8]  H. Reis,et al.  Attraction and close relationships. , 1998 .

[9]  Daizhan Cheng,et al.  Controllability and observability of Boolean control networks , 2009, Autom..

[10]  Satoru Miyano,et al.  Inferring qualitative relations in genetic networks and metabolic pathways , 2000, Bioinform..

[11]  B. Samuelsson,et al.  Superpolynomial growth in the number of attractors in Kauffman networks. , 2003, Physical review letters.

[12]  L. Kadanoff,et al.  Boolean Dynamics with Random Couplings , 2002, nlin/0204062.

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

[14]  Sylvie Pesty,et al.  Acceptability in Interaction - From Robots to Embodied Conversational Agents , 2011, GRAPP.

[15]  Volkert,et al.  The Role of Weak Interactions in Biological Systems: the Dual Dynamics Model. , 1998, Journal of theoretical biology.

[16]  Daizhan Cheng,et al.  A Linear Representation of Dynamics of Boolean Networks , 2010, IEEE Transactions on Automatic Control.

[17]  Minoru Asada,et al.  Human-Inspired Robots , 2006, IEEE Intelligent Systems.

[18]  I. Ajzen The theory of planned behavior , 1991 .

[19]  Albert,et al.  Dynamics of complex systems: scaling laws for the period of boolean networks , 2000, Physical review letters.

[20]  Daizhan Cheng,et al.  Algebraic Approach to Dynamics of Multivalued Networks , 2010, Int. J. Bifurc. Chaos.

[21]  Jakob Nielsen,et al.  Usability engineering , 1997, The Computer Science and Engineering Handbook.

[22]  Michael Margaliot,et al.  Controllability of Boolean control networks via the Perron-Frobenius theory , 2012, Autom..

[23]  Carlos Gershenson,et al.  Updating Schemes in Random Boolean Networks: Do They Really Matter? , 2004, ArXiv.

[24]  C. Pelachaud,et al.  GRETA. A BELIEVABLE EMBODIED CONVERSATIONAL AGENT , 2005 .

[25]  Edward R. Dougherty,et al.  From Boolean to probabilistic Boolean networks as models of genetic regulatory networks , 2002, Proc. IEEE.

[26]  Carlos Gershenson,et al.  Classification of Random Boolean Networks , 2002, ArXiv.

[27]  Jeffrey M. Bradshaw,et al.  Ten Challenges for Making Automation a "Team Player" in Joint Human-Agent Activity , 2004, IEEE Intell. Syst..

[28]  A. Adamatzky On dynamically non-trivial three-valued logics: oscillatory and bifurcatory species , 2003 .

[29]  Kerstin Dautenhahn,et al.  Socially intelligent robots: dimensions of human–robot interaction , 2007, Philosophical Transactions of the Royal Society B: Biological Sciences.

[30]  Sylvie Pesty,et al.  Artificial companion: Building a impacting relation , 2011, 2011 IEEE International Conference on Robotics and Biomimetics.

[31]  M. Ng,et al.  Control of Boolean networks: hardness results and algorithms for tree structured networks. , 2007, Journal of theoretical biology.

[32]  E. Brangier,et al.  HOW THE USE OF PERSUASIVE CRITERIA CAN ENHANCE THE RESPONSE RATE OF A BUSINESS WEB SURVEY : ONE EMPIRICAL VALIDATION OF THE EIGHT PERSUASIVE INTERACTION CRITERIA . , 2011 .