Robot or tablet: Users' behaviors on a memory game

Robots will be more and more present in our daily life. Even if we guess that they will help us doing our tasks, their future roles remain unclear. Thus, it is important to explore how robots implicitly influence people, in order to design their future roles. This paper investigates human's behaviors in three game conditions: game with a robot alone, a tablet alone, and both robot and tablet. Results show that the presence of the robot induces no stress. Participants feel more pleasure when they play with the robot alone. Results also highlight that interacting simultaneously with a tablet and a robot could be experienced as a negative situation by people.

[1]  Manfred Tscheligi,et al.  Addressing User Experience and Societal Impact in a User Study with a Humanoid Robot , 2009 .

[2]  Kerstin Dautenhahn,et al.  What is a robot companion - friend, assistant or butler? , 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[3]  Nuno M. Fonseca Ferreira,et al.  Fostering the NAO platform as an elderly care robot , 2013, 2013 IEEE 2nd International Conference on Serious Games and Applications for Health (SeGAH).

[4]  M. Hamilton A RATING SCALE FOR DEPRESSION , 1960, Journal of neurology, neurosurgery, and psychiatry.

[5]  J. R. Landis,et al.  The measurement of observer agreement for categorical data. , 1977, Biometrics.

[6]  Susan R. Fussell,et al.  Comparing a computer agent with a humanoid robot , 2007, 2007 2nd ACM/IEEE International Conference on Human-Robot Interaction (HRI).

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

[8]  I. René J. A. te Boekhorst,et al.  Avoiding the uncanny valley: robot appearance, personality and consistency of behavior in an attention-seeking home scenario for a robot companion , 2008, Auton. Robots.

[9]  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.

[10]  Ronald C. Arkin,et al.  Planning to Behave: A Hybrid Deliberative/Reactive Robot Control Architecture for Mobile Manipulation , 1994 .

[11]  Bill Gates,et al.  A robot in every home. , 2007 .

[12]  J. Altmann,et al.  Observational study of behavior: sampling methods. , 1974, Behaviour.

[13]  Takanori Shibata,et al.  An overview of human interactive robots for psychological enrichment , 2004, Proceedings of the IEEE.

[14]  P. Ekman,et al.  Facial action coding system: a technique for the measurement of facial movement , 1978 .

[15]  Tatsuo Arai,et al.  Evaluation of virtual and real robot based on human impression , 2009, RO-MAN 2009 - The 18th IEEE International Symposium on Robot and Human Interactive Communication.

[16]  Brigitte Le Pévédic,et al.  Are robots our future coaches? , 2013, IEEE ISR 2013.

[17]  Rodney A. Brooks,et al.  From earwigs to humans , 1997, Robotics Auton. Syst..

[18]  Brian Scassellati,et al.  The effect of presence on human-robot interaction , 2008, RO-MAN 2008 - The 17th IEEE International Symposium on Robot and Human Interactive Communication.

[19]  S. Shamsuddin,et al.  Initial response of autistic children in human-robot interaction therapy with humanoid robot NAO , 2012, 2012 IEEE 8th International Colloquium on Signal Processing and its Applications.

[20]  Peter Robinson,et al.  When my robot smiles at me Enabling human-robot rapport via real-time head gesture mimicry , 2009 .

[21]  Max Q.-H. Meng,et al.  Study on cooperation between humanoid robot Nao and Barrett WAM , 2012, 2012 IEEE International Conference on Robotics and Biomimetics (ROBIO).

[22]  Cynthia Breazeal,et al.  Effect of a robot on user perceptions , 2004, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566).