"Look at Me!": Self-Interruptions as Attention Booster?

In this paper we present results of an exploratory experiment investigating the effects of a contingently self-interrupting vs non-self-interrupting virtual agent who transmits information to a human interaction partner. In the experimental condition self-interruptions of the agent were triggered by an external event whereas in the control group the agent did not react to this event. We measured the effect of the agent's self-interruptions on human attention, memory performance and subjective ratings. In this paper we discuss the results with respect to the design of incremental human-agent dialogue modeling.

[1]  Eric Horvitz,et al.  Models for Multiparty Engagement in Open-World Dialog , 2009, SIGDIAL Conference.

[2]  Giulio Sandini,et al.  Gaze contingency in turn-taking for human robot interaction: Advantages and drawbacks , 2015, 2015 24th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN).

[3]  David Schlangen,et al.  The InproTK 2012 release , 2012, SDCTD@NAACL-HLT.

[4]  Ingo Lütkebohle,et al.  The bielefeld anthropomorphic robot head “Flobi” , 2010, 2010 IEEE International Conference on Robotics and Automation.

[5]  Jean-Marc Odobez,et al.  Tracking the Visual Focus of Attention for a Varying Number of Wandering People , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[6]  Jean-Marc Odobez,et al.  Engagement-based Multi-party Dialog with a Humanoid Robot , 2011, SIGDIAL Conference.

[7]  Stefan Kopp,et al.  Situationally Aware In-Car Information Presentation Using Incremental Speech Generation: Safer, and More Effective , 2014, DM@EACL.

[8]  Eric Horvitz,et al.  Managing Human-Robot Engagement with Forecasts and... um... Hesitations , 2014, ICMI.

[9]  David Schlangen,et al.  Towards Closed Feedback Loops in HRI: Integrating InproTK and PaMini , 2014, MMRWHRI '14.

[10]  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.

[11]  Dana Kulic,et al.  Measurement Instruments for the Anthropomorphism, Animacy, Likeability, Perceived Intelligence, and Perceived Safety of Robots , 2009, Int. J. Soc. Robotics.

[12]  Anton Nijholt,et al.  Eye gaze patterns in conversations: there is more to conversational agents than meets the eyes , 2001, CHI.