Understanding Rapport over Multiple Sessions with a Social, Teachable Robot

Social robots have been shown to be effective educational tools. Rapport, or interpersonal closeness, can lead to better human-robot interactions and positive learning outcomes. Prior research has investigated the effects of social robots on student rapport and learning in a single session, but little is known about how individuals build rapport with a robot over multiple sessions. We reported on a case study in which 7 middle school students explained mathematics concepts to an intelligent teachable robot named Emma for five sessions. We modeled learners’ rapport-building linguistic strategies to understand whether the ways middle school students build rapport with the robot over time follow the same trends as human conversation, and how individual differences might mediate the rapport between human and robot.

[1]  L. Tickle-Degnen,et al.  The Nature of Rapport and Its Nonverbal Correlates , 1990 .

[2]  Amy Ogan,et al.  Automated Pitch Convergence Improves Learning in a Social, Teachable Robot for Middle School Mathematics , 2018, AIED.

[3]  H. Spencer-Oatey.  (Im)Politeness, Face and Perceptions of Rapport: Unpackaging their Bases and Interrelationships , 2005 .

[4]  Andrea Bunt,et al.  Investigating People’s Rapport Building and Hindering Behaviors When Working with a Collaborative Robot , 2017, International Journal of Social Robotics.

[5]  Dwayne D. Gremler,et al.  Rapport-Building Behaviors Used by Retail Employees , 2008 .

[6]  Brandon G. King,et al.  Facial Features for Affective State Detection in Learning Environments , 2007 .

[7]  Amy Ogan,et al.  "Oh dear stacy!": social interaction, elaboration, and learning with teachable agents , 2012, CHI.

[8]  Annelie Ädel,et al.  Rapport building in student group work , 2011 .

[9]  T. Chartrand,et al.  Using Nonconscious Behavioral Mimicry to Create Affiliation and Rapport , 2003, Psychological science.

[10]  Amy Ogan,et al.  Comfort with Robots Influences Rapport with a Social, Entraining Teachable Robot , 2019, AIED.

[11]  Stephen M. Smith,et al.  Probabilistic independent component analysis for functional magnetic resonance imaging , 2004, IEEE Transactions on Medical Imaging.

[12]  Cynthia Breazeal,et al.  Growing Growth Mindset with a Social Robot Peer , 2017, 2017 12th ACM/IEEE International Conference on Human-Robot Interaction (HRI.

[13]  Ran Zhao,et al.  Towards a Dyadic Computational Model of Rapport Management for Human-Virtual Agent Interaction , 2014, IVA.

[14]  Stacy Marsella,et al.  Virtual Rapport , 2006, IVA.

[15]  Bilge Mutlu,et al.  Supporting Interest in Science Learning with a Social Robot , 2019, IDC.

[16]  Cynthia Breazeal,et al.  Can Children Catch Curiosity from a Social Robot? , 2015, 2015 10th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

[17]  Arnaud Delorme,et al.  EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis , 2004, Journal of Neuroscience Methods.

[18]  Hui Wang,et al.  Identification of Social Acts in Dialogue , 2012, COLING.

[19]  Amy Ogan,et al.  Rudeness and Rapport: Insults and Learning Gains in Peer Tutoring , 2012, ITS.

[20]  Ryan L. Boyd,et al.  The Development and Psychometric Properties of LIWC2015 , 2015 .