skip to main content
research-article

Teaching Social Communication Skills Through Human-Agent Interaction

Authors Info & Claims
Published:03 August 2016Publication History
Skip Abstract Section

Abstract

There are a large number of computer-based systems that aim to train and improve social skills. However, most of these do not resemble the training regimens used by human instructors. In this article, we propose a computer-based training system that follows the procedure of social skills training (SST), a well-established method to decrease human anxiety and discomfort in social interaction, and acquire social skills. We attempt to automate the process of SST by developing a dialogue system named the automated social skills trainer, which teaches social communication skills through human-agent interaction. The system includes a virtual avatar that recognizes user speech and language information and gives feedback to users. Its design is based on conventional SST performed by human participants, including defining target skills, modeling, role-play, feedback, reinforcement, and homework. We performed a series of three experiments investigating (1) the advantages of using computer-based training systems compared to human-human interaction (HHI) by subjectively evaluating nervousness, ease of talking, and ability to talk well; (2) the relationship between speech language features and human social skills; and (3) the effect of computer-based training using our proposed system. Results of our first experiment show that interaction with an avatar decreases nervousness and increases the user's subjective impression of his or her ability to talk well compared to interaction with an unfamiliar person. The experimental evaluation measuring the relationship between social skill and speech and language features shows that these features have a relationship with social skills. Finally, experiments measuring the effect of performing SST with the proposed application show that participants significantly improve their skill, as assessed by separate evaluators, by using the system for 50 minutes. A user survey also shows that the users thought our system is useful and easy to use, and that interaction with the avatar felt similar to HHI.

References

  1. Yaser Adi, Amanda Kiloran, Kulsum Janmohamed, and Sarah Stewart-Brown. 2007. Systematic Review of the Effectiveness of Interventions to Promote Mental Wellbeing in Primary Schools. Report 1: Universal approaches: Non-Violence Related Outcomes. Coventry, University of Warwick.Google ScholarGoogle Scholar
  2. American Psychiatric Association. 2013. Diagnostic and Statistical Manual of Mental Disorders (DSM-5®). Author.Google ScholarGoogle Scholar
  3. Simon Baron-Cohen, Jennifer Richler, Dheraj Bisarya, Nhishanth Gurunathan, and Sally Wheelwright. 2003. The systemizing quotient: An investigation of adults with Asperger syndrome or high-functining autism, and normal sex differences. Philosophical Transactions of the Royal Society of London B: Biological Sciences 358, 1430, 361--374.Google ScholarGoogle ScholarCross RefCross Ref
  4. Simon Baron-Cohen, Sally Wheelwright, Richard Skinner, Joanne Martin, and Emma Clubley. 2001. The autism-spectrum quotient (AQ): Evidence from Asperger syndrome/high-functioning autism, males and females, scientists and mathematicians. Journal of Autism and Developmental Disorders 31, 1, 5--17.Google ScholarGoogle ScholarCross RefCross Ref
  5. Nirit Bauminger. 2002. The facilitation of social-emotional understanding and social interaction in high-functioning children with autism: Intervention outcomes. Journal of Autism and Developmental Disorders 32, 4, 283--298.Google ScholarGoogle ScholarCross RefCross Ref
  6. Amy L. Baylor and Yanghee Kim. 2004. Pedagogical agent design: The impact of agent realism, gender, ethnicity, and instructional role. In Intelligent Tutoring Systems. Springer, Berlin, Germany, 592--603.Google ScholarGoogle Scholar
  7. Alan S. Bellack. 2004. Social Skills Training for Schizophrenia: A Step-by-Step Guide. Guilford Press, New York, NY.Google ScholarGoogle Scholar
  8. J. Bishop. 2003. The Internet for educating individuals with social impairments. Journal of Computer Assisted Learning 19, 4, 546--556.Google ScholarGoogle ScholarCross RefCross Ref
  9. Daniel Bone, Matthew P. Black, Chi-Chun Lee, Marian E. Williams, Pat Levitt, Sungbok Lee, and Shrikanth Narayanan. 2012. Spontaneous-speech acoustic-prosodic features of children with autism and the interacting psychologist. In Proceedings of the 13th Annual Conference of the International Speech Communication Association (INTERSPEECH'12).Google ScholarGoogle Scholar
  10. Yoram S. Bonneh, Yoram Levanon, Omrit Dean-Pardo, Lan Lossos, and Yael Adini. 2010. Abnormal speech spectrum and increased pitch variability in young autistic children. Frontiers in Human Neuroscience 4, 237.Google ScholarGoogle Scholar
  11. Jacob Cohen, Patricia Cohen, Stephen G. West, and Leona S. Aiken. 2013. Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences. Routledge.Google ScholarGoogle Scholar
  12. M. Davis, K. Dautenhahn, C. L. Nehaniv, and S. D. Powell. 2004. Towards an interactive system facilitating therapeutic narrative elicitation in autism. In Proceedings of the 3rd International Conference on Narrative and Interactive Learning Environments.Google ScholarGoogle Scholar
  13. Olive Jean Dunn. 1961. Multiple comparisons among means. Journal of the American Statistical Association 56, 293, 52--64.Google ScholarGoogle ScholarCross RefCross Ref
  14. Nancy Eisenberg, William Damon, and Richard M. Lerner. 2006. Social, Emotional, and Personality Development. John Wiley & Sons.Google ScholarGoogle Scholar
  15. Cecilia A. Essau, Beatriz Olaya, Satoko Sasagawa, Jayshree Pithia, Diane Bray, and Thomas H. Ollendick. 2014. Integrating video-feedback and cognitive preparation, social skills training and behavioural activation in a cognitive behavioural therapy in the treatment of childhood anxiety. Journal of Affective Disorders 167, 261--267.Google ScholarGoogle ScholarCross RefCross Ref
  16. M. H. Hanson. 1995. Glottal Characteristics of Female Speakers. Ph.D. Dissertation. Harvard University, Cambridge, MA. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Peter A. Heeman, Rebecca Lunsford, Ethan Selfridge, Lois Black, and Jan Van Santen. 2010. Autism and interactional aspects of dialogue. In Proceedings of the 11th Annual Meeting of the Special Interest Group on Discourse and Dialogue. 249--252. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. Mohammed Ehsan Hoque, Matthieu Courgeon, Jean-Claude Martin, Bilge Mutlu, and Rosalind W. Picard. 2013. Mach: My automated conversation coach. In Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing. ACM, New York, NY, 697--706. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. Mohammed Ehsan Hoque and Rosalind W. Picard. 2014. Rich nonverbal sensing technology for automated social skills training. Computer 47, 4, 28--35. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Leo Kanner. 1943. Autistic disturbances of affective contact. Nervous Child 2, 217--250.Google ScholarGoogle Scholar
  21. Géza Kiss and Jan P. H. van Santen. 2013. Estimating speaker-specific intonation patterns using the linear alignment model. In Proceedings of the 14th Annual Conference of the International Speech Communication Association (INTERSPEECH'13). 354--358.Google ScholarGoogle Scholar
  22. Géza Kiss, Jan P. H. van Santen, Emily Tucker Prud'hommeaux, and Lois M. Black. 2012. Quantitative analysis of pitch in speech of children with neurodevelopmental disorders. In Proceedings of the 13th Annual Conference of the International Speech Communication Association (INTERSPEECH'12).Google ScholarGoogle Scholar
  23. Jina Lee, Zhiyang Wang, and Stacy Marsella. 2010. Evaluating models of speaker head nods for virtual agents. In Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: Volume 1. 1257--1264. Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. R. P. Liberman and C. J. Wallace. 1990. Social and Independent Living Skills: Basic Conversation Skills Module. Robert Paul Liberman, Camarillo, CA.Google ScholarGoogle Scholar
  25. Robert Paul Liberman. 1987. Social and Independent Living Skills. UCLA Psychiatric Rehabilitation Consultants, Northridge, CA.Google ScholarGoogle Scholar
  26. Joanne McCann and Sue Peppé. 2003. Prosody in autism spectrum disorders: A critical review. International Journal of Language and Communication Disorders 38, 4, 325--350.Google ScholarGoogle ScholarCross RefCross Ref
  27. David Moore, Paul McGrath, and John Thorpe. 2000. Computer-aided learning for people with autism—a framework for research and development. Innovations in Education and Teaching International 37, 3, 218--228.Google ScholarGoogle ScholarCross RefCross Ref
  28. Iftekhar Naim, M. Iftekhar Tanveer, Daniel Gildea, and Mohammed Ehsan Hoque. 2015. Automated prediction and analysis of job interview performance: The role of what you say and how you say it. In Proceedings of the 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG'15), Vol. 1. IEEE, Los Alamitos, CA, 1--6.Google ScholarGoogle ScholarCross RefCross Ref
  29. Sarah Parsons and Peter Mitchell. 2002. The potential of virtual reality in social skills training for people with autistic spectrum disorders. Journal of Intellectual Disability Research 46, 5, 430--443.Google ScholarGoogle ScholarCross RefCross Ref
  30. James W. Pennebaker, Roger J. Booth, and Martha E. Francis. 2007. Linguistic Inquiry and Word Count: LIWC {Computer Software}. Available at http://liwc.wpengine.com.Google ScholarGoogle Scholar
  31. Toni Rietveld and Roeland Van Hout. 1993. Statistical Techniques for the Study of Language and Language Behaviour. Walter de Gruyter.Google ScholarGoogle Scholar
  32. Masoud Rouhizadeh, Emily Prud'hommeaux, Brian Roark, and Jan Van Santen. 2013. Distributional semantic models for the evaluation of disordered language. In Proceedings of the Conference of the Association for Computational Linguistics. 709.Google ScholarGoogle Scholar
  33. Jan P. H. Santen, Richard W. Sproat, and Alison Presmanes Hill. 2013. Quantifying repetitive speech in autism spectrum disorders and language impairment. Autism Research 6, 5, 372--383.Google ScholarGoogle ScholarCross RefCross Ref
  34. Björn Schuller, Erik Marchi, Simon Baron-Cohen, Helen O'Reilly, Delia Pigat, Peter Robinson, and Ian Daves. 2014. The state of play of ASC-inclusion: An integrated Internet-based environment for social inclusion of children with autism spectrum conditions. arXiv:1403.5912.Google ScholarGoogle Scholar
  35. Miriam Silver and Peter Oakes. 2001. Evaluation of a new computer intervention to teach people with autism or Asperger syndrome to recognize and predict emotions in others. Autism 5, 3, 299--316.Google ScholarGoogle ScholarCross RefCross Ref
  36. Petr Slovák and Geraldine Fitzpatrick. 2015. Teaching and developing social and emotional skills with technology. ACM Transactions on Computer-Human Interaction 22, 4, 19. Google ScholarGoogle ScholarDigital LibraryDigital Library
  37. Petr Slovák, Ran Gilad-Bachrach, and Geraldine Fitzpatrick. 2015. Designing social and emotional skills training: The challenges and opportunities for technology support. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems. ACM, New York, NY, 2797--2800. Google ScholarGoogle ScholarDigital LibraryDigital Library
  38. Hiroki Tanaka, Sakriani Sakti, Graham Neubig, Tomoki Toda, and Satoshi Nakamura. 2014. Linguistic and acoustic features for automatic identification of autism spectrum disorders in children's narrative. In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics. 88.Google ScholarGoogle ScholarCross RefCross Ref
  39. Hiroki Tanaka, Sakriani Sakti, Graham Neubig, Tomoki Toda, Hideki Negoro, Hidemi Iwasaka, and Satoshi Nakamura. 2015. Automated social skills trainer. In Proceedings of the 20th International Conference on Intelligent User Interfaces. ACM, New York, NY, 17--27. Google ScholarGoogle ScholarDigital LibraryDigital Library
  40. Amy Vaughan Van Hecke, Jocelyn Lebow, Elgiz Bal, Damon Lamb, Emily Harden, Alexis Kramer, John Denver, Olga Bazhenova, and Stephen W. Porges. 2009. Electroencephalogram and heart rate regulation to familiar and unfamiliar people in children with autism spectrum disorders. Child Development 80, 4, 1118--1133.Google ScholarGoogle ScholarCross RefCross Ref
  41. Akio Wakabayashi, Simon Baron-Cohen, Sally Wheelwright, and Yoshikuni Tojo. 2006. The autism-spectrum quotient (AQ) in Japan: A cross-cultural comparison. Journal of Autism and Developmental Disorders 36, 2, 263--270.Google ScholarGoogle ScholarCross RefCross Ref
  42. Charles J. Wallace, Connie J. Nelson, Robert Paul Liberman, Robert A. Aitchison, David Lukoff, John P. Elder, and Chris Ferris. 1980. A review and critique of social skills training with schizophrenic patients. Schizophrenia Bulletin 6, 1, 42.Google ScholarGoogle ScholarCross RefCross Ref
  43. Donna Williams. 1992. Nobody Nowhere. Doubleday.Google ScholarGoogle Scholar

Index Terms

  1. Teaching Social Communication Skills Through Human-Agent Interaction

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in

      Full Access

      • Published in

        cover image ACM Transactions on Interactive Intelligent Systems
        ACM Transactions on Interactive Intelligent Systems  Volume 6, Issue 2
        Regular Articles, Special Issue on Highlights of IUI 2015 (Part 2 of 2) and Special Issue on Highlights of ICMI 2014 (Part 1 of 2)
        August 2016
        282 pages
        ISSN:2160-6455
        EISSN:2160-6463
        DOI:10.1145/2974721
        Issue’s Table of Contents

        Copyright © 2016 ACM

        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 3 August 2016
        • Revised: 1 May 2016
        • Accepted: 1 May 2016
        • Received: 1 July 2015
        Published in tiis Volume 6, Issue 2

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • research-article
        • Research
        • Refereed

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader