Constraining Content in Mediated Unstructured Social Interactions: Studies in the Wild

When studying social interactions, robust data collection protocols can come at the expense of allowing a natural interaction to take place because of a rigid structure in the experimental scenario. This work seeks to explore the use of an interaction mediator as a tool to constrain the content of a social interaction without imposing an interaction structure. Two studies were conducted in different interaction contexts using children: a peer-peer interaction, and a teacher-child interaction. Given that no interaction structure is imposed, objective metrics to characterise behaviour prove difficult to apply. Qualitative analysis techniques, namely Conversation Analysis, are therefore used to study the dyadic interactions. Results confirm the role of the mediating device in providing interaction content without imposing interaction structure. This illustrates the potential role of such devices in manipulating social interactions to facilitate empirical interrogation.

[1]  Ayanna M. Howard,et al.  Providing tablets as collaborative-task workspace for human-robot interaction , 2013, 2013 8th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

[2]  Brian P. Meier,et al.  Embodiment in Social Psychology , 2012, Top. Cogn. Sci..

[3]  Mikael Heimann,et al.  Imitative interaction increases social interest and elicited imitation in non-verbal children with autism , 2006 .

[4]  Jonathan Klein,et al.  Frustrating the user on purpose: a step toward building an affective computer , 2002, Interact. Comput..

[5]  F. F. Strayer,et al.  Developmental changes in the nature and function of social dominance among young children , 1984 .

[6]  P. Have Doing conversation analysis , 2007 .

[7]  Ana Paiva,et al.  iCat, the chess player: the influence of embodiment in the enjoyment of a game , 2008, AAMAS.

[8]  Tony Belpaeme,et al.  Emergence of turn-taking in unstructured child-robot social interactions , 2013, 2013 8th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

[9]  Nadia Bianchi-Berthouze,et al.  Stirring up experience through movement in game play: effects on engagement and social behaviour , 2008, CHI.

[10]  K. Yamazaki,et al.  Coordination of verbal and non-verbal actions in human―robot interaction at museums and exhibitions , 2010 .

[11]  Ana Paiva,et al.  Are emotional robots more fun to play with? , 2008, RO-MAN 2008 - The 17th IEEE International Symposium on Robot and Human Interactive Communication.

[12]  Tony Belpaeme,et al.  A touchscreen-based ‘Sandtray’ to facilitate, mediate and contextualise human-robot social interaction , 2012, 2012 7th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

[13]  Paul ten Have,et al.  Doing Conversation Analysis: A Practical Guide , 1999 .

[14]  J. M. Atkinson Transcript Notation - Structures of Social Action: Studies in Conversation Analysis , 1999 .

[15]  M. Dadds,et al.  Evaluation of a Puppet Interview to Measure Young Children's Self-Reports of Temperament , 2004, Behaviour Change.

[16]  Marek P. Michalowski,et al.  Robots in the wild: observing human-robot social interaction outside the lab , 2006, 9th IEEE International Workshop on Advanced Motion Control, 2006..

[17]  Mark R. Beauchamp,et al.  Athletes’ Perceptions of the Sources of Role Ambiguity , 2005 .

[18]  Gary Lupyan,et al.  Language is not Just for Talking , 2007, Psychological science.

[19]  P. Hawley Social dominance and prosocial and coercive strategies of resource control in preschoolers , 2002 .

[20]  E. Schegloff Analyzing Single Episodes of Interaction: An Exercise in Conversation Analysis , 1987 .

[21]  J. Chatwin,et al.  Conversation analysis: a method for research into interactions between patients and health‐care professionals , 2001, Health expectations : an international journal of public participation in health care and health policy.

[22]  Paul Baxter,et al.  Child-robot interaction in the wild: advice to the aspiring experimenter , 2011, ICMI '11.

[23]  R. Baaren,et al.  Mimicry for money: Behavioral consequences of imitation , 2003 .

[24]  Christopher Andrews,et al.  Co-located Many-Player Gaming on Large High-Resolution Displays , 2009, 2009 International Conference on Computational Science and Engineering.