Context-Specific Affective and Cognitive Responses to Humanoid Robots

The uncanny valley model explains the relationship between the resemblance that robots have to humans and attitudes towards these humanoid robots. This model is an influential theory in human-robot interaction and helps us understand individuals' attitudes towards humanoids. Despite its extraordinary worth, prior research has examined the model in general or contextfree situations. Given that humanoids have begun to permeate social spheres and are used in actual business areas, it is important to investigate the uncanny valley in specific and actual situations. Additionally, there has been little work on the impact of affective responses presented in the uncanny valley to other appraisals of humanoids. To remedy these constraints, this study tries to explore context-specific affective and cognitive responses to humanoids in the framework of the uncanny valley. In particular, this study examines the effect of affective responses on trust, which is regarded as a critical cognitive factor influencing technology adoption, in two situations: hotel reception (low expertise) and tutoring (high expertise). By providing a richer understanding of human reactions to humanoids, this study expands on the uncanny valley theory and ultimately makes contributions to research on human-robot interactions.

[1]  D. Harrison McKnight,et al.  Perceived Information Quality in Data Exchanges: Effects on Risk, Trust, and Intention to Use , 2006, Inf. Syst. Res..

[2]  Sirkka L. Jarvenpaa,et al.  Communication and Trust in Global Virtual Teams , 1999, J. Comput. Mediat. Commun..

[3]  Jun'ichiro Seyama,et al.  The Uncanny Valley: Effect of Realism on the Impression of Artificial Human Faces , 2007, PRESENCE: Teleoperators and Virtual Environments.

[4]  Karl F. MacDorman,et al.  Revisiting the uncanny valley theory: Developing and validating an alternative to the Godspeed indices , 2010, Comput. Hum. Behav..

[5]  Guy L. Lacroix,et al.  Does the uncanny valley exist? An empirical test of the relationship between eeriness and the human likeness of digitally created faces , 2013, Comput. Hum. Behav..

[6]  Christopher K. Hsee,et al.  Risk as Feelings , 2001, Psychological bulletin.

[7]  V. Groom,et al.  Can robots be teammates?: Benchmarks in human–robot teams , 2007 .

[8]  D. Wegner,et al.  Feeling robots and human zombies: Mind perception and the uncanny valley , 2012, Cognition.

[9]  John D. Lee,et al.  Trust in Automation: Designing for Appropriate Reliance , 2004, Hum. Factors.

[10]  M. Schweitzer,et al.  Feeling and believing: the influence of emotion on trust. , 2003, Journal of personality and social psychology.

[11]  Colin Camerer,et al.  Not So Different After All: A Cross-Discipline View Of Trust , 1998 .

[12]  Noelle M. Nelson,et al.  Making choices impairs subsequent self-control: a limited-resource account of decision making, self-regulation, and active initiative. , 2008, Journal of personality and social psychology.

[13]  Maya B. Mathur,et al.  Navigating a social world with robot partners: A quantitative cartography of the Uncanny Valley , 2016, Cognition.

[14]  Dan Jong Kim,et al.  Customer self-service systems: The effects of perceived Web quality with service contents on enjoyment, anxiety, and e-trust , 2007, Decis. Support Syst..

[15]  D. Gefen,et al.  Consumer trust in B2C e-Commerce and the importance of social presence: experiments in e-Products and e-Services , 2004 .

[16]  H. Ishiguro,et al.  The uncanny advantage of using androids in cognitive and social science research , 2006 .

[17]  Mohamed Chetouani,et al.  Trust as indicator of robot functional and social acceptance. An experimental study on user conformation to iCub answers , 2015, Comput. Hum. Behav..

[18]  Kerstin Dautenhahn,et al.  Would You Trust a (Faulty) Robot? Effects of Error, Task Type and Personality on Human-Robot Cooperation and Trust , 2015, 2015 10th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

[19]  Detmar W. Straub,et al.  Trust and TAM in Online Shopping: An Integrated Model , 2003, MIS Q..

[20]  Robert B. Lount.  The impact of positive mood on trust in interpersonal and intergroup interactions. , 2010, Journal of personality and social psychology.

[21]  Izak Benbasat,et al.  Trust In and Adoption of Online Recommendation Agents , 2005, J. Assoc. Inf. Syst..

[22]  Jessie Y. C. Chen,et al.  A Meta-Analysis of Factors Affecting Trust in Human-Robot Interaction , 2011, Hum. Factors.