Identifying Task Engagement: Towards Personalised Interactions with Educational Robots

The focus of this project is to design, develop and evaluate a new computational model for automatically detecting change in task engagement. This work will be applied to robotic tutors to enhance and support the learning experience, enabling timely pedagogical and empathic intervention. This work is intended to forward the current state of the art by 1) exploring how to automatically detect engagement with a learning task, 2) designing and developing new approaches to machine learning for adaptive platform-independent modelling and 3) evaluation of its effectiveness for building and maintaining learner engagement across different tutor embodiments, for example a physical and virtual embodiment.

[1]  Ashish Kapoor,et al.  Multimodal affect recognition in learning environments , 2005, ACM Multimedia.

[2]  Candace L. Sidner,et al.  Recognizing engagement in human-robot interaction , 2010, HRI 2010.

[3]  Bilge Mutlu,et al.  Pay attention!: designing adaptive agents that monitor and improve user engagement , 2012, CHI.

[4]  Judy Kay,et al.  Student Models that Invite the Learner In: The SMILI: () Open Learner Modelling Framework , 2007, Int. J. Artif. Intell. Educ..

[5]  Marek P. Michalowski,et al.  A spatial model of engagement for a social robot , 2006, 9th IEEE International Workshop on Advanced Motion Control, 2006..

[6]  Christoph Bartneck,et al.  Expressive robots in education: varying the degree of social supportive behavior of a robotic tutor , 2010, CHI.

[7]  C. Breazeal,et al.  Experiments in socially guided exploration: lessons learned in building robots that learn with and without human teachers , 2008, Connect. Sci..

[8]  Yuan Gao,et al.  What Does Touch Tell Us about Emotions in Touchscreen-Based Gameplay? , 2012, TCHI.

[9]  David J. Shernoff,et al.  Student engagement in high school classrooms from the perspective of flow theory. , 2003 .

[10]  Candace L. Sidner,et al.  Where to look: a study of human-robot engagement , 2004, IUI '04.

[11]  John T. Guthrie,et al.  Classroom Conditions for Motivation and Engagement in Reading , 2001 .

[12]  Elaine Toms,et al.  What is user engagement? A conceptual framework for defining user engagement with technology , 2008, J. Assoc. Inf. Sci. Technol..

[13]  Ana Paiva,et al.  Automatic analysis of affective postures and body motion to detect engagement with a game companion , 2011, 2011 6th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

[14]  Brian Scassellati,et al.  The Physical Presence of a Robot Tutor Increases Cognitive Learning Gains , 2012, CogSci.

[15]  David Zyngier,et al.  (Re)conceptualising Student Engagement: Doing Education Not Doing Time. , 2008 .

[16]  J. Finn.  Withdrawing From School , 1989 .

[17]  Fabio Tesser,et al.  Multimodal child-robot interaction: building social bonds , 2013, HRI 2013.

[18]  Hideaki Kuzuoka,et al.  “The first five seconds”: Contingent stepwise entry into an interaction as a means to secure sustained engagement in HRI , 2009, RO-MAN 2009 - The 18th IEEE International Symposium on Robot and Human Interactive Communication.

[19]  Ana Paiva,et al.  Detecting Engagement in HRI: An Exploration of Social and Task-Based Context , 2012, 2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing.