Understanding Behaviours and Roles for Social and Adaptive Robots In Education: Teacher's Perspective

In order to establish a long-term relationship between a robot and a child, robots need to learn from the environment, adapt to specific user needs and display behaviours and roles accordingly. Literature shows that certain robot behaviours could negatively impact child's learning and performance. Therefore, the purpose of the present study is to not only understand teacher's opinion on the existing effective social behaviours and roles but also to understand novel behaviours that can positively influence children performance in a language learning setting. In this paper, we present our results based on interviews conducted with 8 language teachers to get their opinion on how a robot can efficiently perform behaviour adaptation to influence learning and achieve long-term engagement. We also present results on future directions extracted from the interviews with teachers.

[1]  Jodi Forlizzi,et al.  Service robots in the domestic environment: a study of the roomba vacuum in the home , 2006, HRI '06.

[2]  Illah R. Nourbakhsh,et al.  A survey of socially interactive robots , 2003, Robotics Auton. Syst..

[3]  Wolmet Barendregt,et al.  Students' Attitudes towards the Possible Future of Social Robots in Education , 2014, RO-MAN 2014.

[4]  Ana Paiva,et al.  Social Robots for Long-Term Interaction: A Survey , 2013, International Journal of Social Robotics.

[5]  Tony Belpaeme,et al.  The Robot Who Tried Too Hard: Social Behaviour of a Robot Tutor Can Negatively Affect Child Learning , 2015, 2015 10th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

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

[7]  Helen F. Hastie,et al.  Teachers' views on the use of empathic robotic tutors in the classroom , 2014, The 23rd IEEE International Symposium on Robot and Human Interactive Communication.

[8]  Wolfgang Minker,et al.  Emotion recognition and adaptation in spoken dialogue systems , 2010, Int. J. Speech Technol..

[9]  Cynthia Breazeal,et al.  Storytelling with robots: Learning companions for preschool children's language development , 2014, The 23rd IEEE International Symposium on Robot and Human Interactive Communication.

[10]  Joanne Orlando,et al.  Teachers’ changing practices with information and communication technologies: an up-close, longitudinal analysis , 2014 .

[11]  Takayuki Kanda,et al.  Interactive Robots as Social Partners and Peer Tutors for Children: A Field Trial , 2004, Hum. Comput. Interact..

[12]  Max Q.-H. Meng,et al.  Designing gestures with semantic meanings for humanoid robot , 2012, 2012 IEEE International Conference on Robotics and Biomimetics (ROBIO).

[13]  Po-Yao Chao,et al.  Exploring the Possibility of Using Humanoid Robots as Instructional Tools for Teaching a Second Language in Primary School , 2010, J. Educ. Technol. Soc..

[14]  B Downe-Wamboldt,et al.  Content analysis: method, applications, and issues. , 1992, Health care for women international.

[15]  Helen F. Hastie,et al.  I Remember You!: Interaction with Memory for an Empathic Virtual Robotic Tutor , 2016, AAMAS.

[16]  Cynthia Breazeal,et al.  Lessons from teachers on performing HRI studies with young children in schools , 2016, 2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

[17]  Claus Emmeche,et al.  Robot Friendship: Can a Robot be a Friend? , 2014, Int. J. Signs Semiot. Syst..

[18]  Bilge Mutlu,et al.  Designing persuasive robots: How robots might persuade people using vocal and nonverbal cues , 2012, 2012 7th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

[19]  C. Breazeal.  Role of expressive behaviour for robots that learn from people , 2009, Philosophical Transactions of the Royal Society B: Biological Sciences.

[20]  Catherine J. Stevens,et al.  A review of the applicability of robots in education , 2013 .

[21]  Cory Juwuan Hayes,et al.  Establishing Human Personality Metrics for Adaptable Robots During Learning Tasks , 2014, AAAI Fall Symposia.

[22]  Joo-Ho Lee,et al.  A competitive and cooperative humanoid software developing scheme LoE and its improvements , 2015, 2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids).

[23]  Clifford Nass,et al.  Consistency of personality in interactive characters: verbal cues, non-verbal cues, and user characteristics , 2000, Int. J. Hum. Comput. Stud..

[24]  Morten Fjeld,et al.  Designing Robotic Teaching Assistants: Interaction Design Students' and Children's Views , 2015, ICSR.

[25]  Omar Mubin,et al.  Using Adaptive Mobile Agents in Games Based Scenarios to Facilitate Foreign Language Word Learning , 2015, HAI.

[26]  François Michaud,et al.  What are the benefits of adaptation when applied in the domain of child-robot interaction? , 2009, 2009 4th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

[27]  Raymond H. Cuijpers,et al.  Creating Robots with Personality: The Effect of Personality on Social Intelligence , 2015, IWINAC.

[28]  Jeonghye Han,et al.  Comparative Study on the Educational Use of Home Robots for Children , 2008, J. Inf. Process. Syst..

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

[30]  Astrid Weiss,et al.  Designing adaptive roles for socially assistive robots , 2014, HRI 2014.