Article published In:
Interaction Studies
Vol. 20:2 (2019) ► pp.205233
References
Association, A.
(2013) Diagnostic and Statistical Manual of Mental Disorders, 5th Edition: DSM 5. book-pointUS. DOI logoGoogle Scholar
Bakeman, R. and Gottman, J.
(1997) Observing interaction: An introduction to sequential analysis. Cambridge Univ Pr.. DOI logoGoogle Scholar
Baron-Cohen, S.
(1991) The development of a theory of mind in autism: deviance and delay? Psychiatric Clinics of North America. DOI logoGoogle Scholar
Boucenna, S., Narzisi, A., Tilmont, E., Muratori, F., Pioggia, G., Cohen, D., and Chetouani, M.
(2014) Interactive technologies for autistic children: A review. Cognitive Computation, pages 1–19.Google Scholar
Cabibihan, J.-J., Javed, H., Jr., M. H. A., and Aljunied, S. M.
(2013) Why robots? a survey on the roles and benefits of social robots in the therapy of children with autism. CoRR, abs/1311.0352.Google Scholar
Celani, G., Battacchi, M., and Arcidiacono, L.
(1999) The understanding of the emotional meaning of facial expressions in people with autism. Journal of Autism and Developmental Disorders, 29(1):57–66. DOI logoGoogle Scholar
Charman, T. and Stone, W. L.
(2006) Social and communication development in autism spectrum disorders: Early identification, diagnosis, and intervention. Guilford Press.Google Scholar
Clark, T. F., Winkielman, P., and Mcintosh, D. N.
(2008) Autism and the extraction of emotion from briefly presented facial expressions: Stumbling at the first step of empathy. Emotion, 8(6):803. DOI logoGoogle Scholar
Costa, S., Soares, F., Pereira, A. P., Santos, C., and Hiolle, A.
(2014a) Building a game scenario to encourage children with autism to recognize and label emotions using a humanoid robot. in Robot and Human Interactive Communication, 2014 RO-MAN: The 23rd IEEE International Symposium on, pages 820–825. IEEE.Google Scholar
Costa, S., Soares, F., and Santos, C.
(2013) Facial expressions and gestures to convey emotions with a hu-manoid robot. In Herrmann, G., Pearson, M., Lenz, A., Bremner, P., Spiers, A., and Leonards, U., editors, Social Robotics, volume 8239 of Lecture Notes in Computer Science, pages 542–551. Springer International Publishing.Google Scholar
Costa, S., Soares, F. O., Pereira, A. P., Santos, C., and Hiolle, A.
(2014b) A pilot study using imitation and storytelling scenarios as activities for labelling emotions by children with autism using a humanoid robot. In Proceeding of The 4th International Conference on Development and Learning and on Epigenetic Robotics (IEEE ICDL-EPIROB 2014). DOI logoGoogle Scholar
Dautenhahn, K.
(1999) Robots as social actors: Aurora and the case of autism. In Proc. CT99, The Third International Cognitive Technology Conference, August, San Francisco, volume 3591, page 374.Google Scholar
Dautenhahn, K. and Werry, I.
Diehl, J. J., Schmitt, L. M., Villano, M., and Crowell, C. R.
(2012) The clinical use of robots for individuals with autism spectrum disorders: A critical review. Research in autism spectrum disorders, 6(1):249–262. DOI logoGoogle Scholar
Ekman, P. and Rosenberg, E. L.
(1998) What the face reveals: Basic and applied studies of spontaneous expression using the Facial Action Coding System (FACS). Oxford University Press, USA.Google Scholar
Filipe, C.
(2012) Autismo: conceitos, mitos e preconceitos.Google Scholar
Giullian, N., Ricks, D., Atherton, A., Colton, M., Goodrich, M., and Brinton, B.
(2010) Detailed requirements for robots in autism therapy. In Systems Man and Cybernetics (SMC), 2010 IEEE International Conference on, pages 2595–2602. IEEE. DOI logoGoogle Scholar
Hanson, D., Baurmann, S., Riccio, T., Margolin, R., Dockins, T., Tavares, M., and Carpenter, K.
(2009) Zeno: a cognitive character. In AI Magazine, and special Proc. of AAAI National Conference, Chicago.Google Scholar
Hobson, R. P.
(1986) The autistic child’s appraisal of expressions of emotion: A further study. Journal of Child Psychology and Psychiatry, 27(5):671–680. DOI logoGoogle Scholar
Huskens, B., Verschuur, R., Gillesen, J., Didden, R., and Barakova, E.
(2013) Promoting question-asking in school-aged children with autism spectrum disorders: Effectiveness of a robot intervention compared to a human-trainer intervention. Developmental neurorehabilitation, 16(5):345–356. DOI logoGoogle Scholar
Johnson, C. P., Myers, S. M., et al.
(2007) Identification and evaluation of children with autism spectrum disorders. Pediatrics, 120(5):1183–1215. DOI logoGoogle Scholar
Kanade, T., Cohn, J. F., and Tian, Y.
(2000) Comprehensive database for facial expression analysis. In Automatic Face and Gesture Recognition, 2000. Proceedings. Fourth IEEE International Conference on, pages 46–53. IEEE.Google Scholar
Lee, J., Takehashi, H., Nagai, C., Obinata, G., and Stefanov, D.
(2012) Which robot features can stimulate better responses from children with autism in robotassisted therapy? Int. J. Advanced Robotic Systems, 9(72).Google Scholar
Lee, K. M., Jung, Y., Kim, J., and Kim, S. R.
(2006) Are physically embodied social agents better than disembodied social agents?: The effects of physical embodiment, tactile interaction, and people’s loneliness in human-robot interaction. International Journal of Human-Computer Studies, 64(10):962–973. DOI logoGoogle Scholar
Lima, C. B. D.
(2012) Perturbações do espectro do autismo: manual prático de intervençao. Lidel.Google Scholar
Loveland, K. A., Tunali-Kotoski, B., Chen, Y. R., Ortegon, J., Pearson, D. A., Brelsford, K. A., and Gibbs, M. C.
(1997) Emotion recognition in autism: Verbal and nonverbal information. Development and Psychopathology, null1:579–593. DOI logoGoogle Scholar
Lucey, P., Cohn, J. F., Kanade, T., Saragih, J., Ambadar, Z., and Matthews, I.
(2010) The extended cohn-kanade dataset (ck+): A complete dataset for action unit and emotion-specified expression. In Computer Vision and Pattern Recognition Workshops (CVPRW), 2010 IEEE Computer Society Conference on, pages 94–101. IEEE.Google Scholar
Mazzei, D., Lazzeri, N., Billeci, L., Igliozzi, R., Mancini, A., Ahluwalia, A., Muratori, F., and De Rossi, D.
(2011) Development and evaluation of a social robot platform for therapy in autism. In Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE, pages 4515–4518. IEEE. DOI logoGoogle Scholar
Mazzei, D., Lazzeri, N., Hanson, D., and De Rossi, D.
(2012) Hefes: an hybrid engine for facial expressions synthesis to control human-like androids and avatars. In BIOROB 2012 proceedings.Google Scholar
Mesibov, G. B. and Howley, M.
(2003) Accessing the curriculum for pupils with autistic spectrum disorders: Using the TEACCH programme to help inclusion. David Fulton Publishers.Google Scholar
Noldus, L.
(1991) The observer: A software system for collection and analysis of observational data. Behavior Research Methods, Instruments, & Computers, 23(3):415–429. DOI logoGoogle Scholar
Palmen, A., Didden, R., and Lang, R.
(2012) A systematic review of behavioral intervention research on adaptive skill building in high-functioning young adults with autism spectrum disorder. Research in Autism Spectrum Disorders, 6(2):602–617. DOI logoGoogle Scholar
Pease, B. and Pease, A.
(2008) The definitive book of body language. Random House LLC.Google Scholar
Ramdoss, S., Lang, R., Mulloy, A., Franco, J., OReilly, M., Didden, R., and Lancioni, G.
(2011) Use of computer-based interventions to teach communication skills to children with autism spectrum disorders: A systematic review. Journal of Behavioral Education, 20(1):55–76. DOI logoGoogle Scholar
Ramdoss, S., Machalicek, W., Rispoli, M., Mulloy, A., Lang, R., and OReilly, M.
(2012) Computer-based interventions to improve social and emotional skills in individuals with autism spectrum disorders: A systematic review. Developmental neurorehabilitation, 15(2):119–135. DOI logoGoogle Scholar
Ricks, D. J. and Colton, M. B.
(2010) Trends and considerations in robot-assisted autism therapy. In Robotics and Automation (ICRA), 2010 IEEE International Conference on, pages 4354–4359. IEEE. DOI logoGoogle Scholar
Russell, J. A.
(1980) A circumplex model of affect. Journal of personality and social psychology, 39(6):1161. DOI logoGoogle Scholar
Saldien, J., Goris, K., Vanderborght, B., Vanderfaeillie, J., and Lefeber, D.
(2010) Expressing emotions with the social robot probo. International Journal of Social Robotics, 2(4):377–389. DOI logoGoogle Scholar
Scassellati, B., Admoni, H., and Mataric, M.
(2012) Robots for use in autism research. Annual Review of Biomedical Engineering, 141:275–294. DOI logoGoogle Scholar
Werry, I., Dautenhahn, K., Ogden, B., and Harwin, W.
(2001) Can social interaction skills be taught by a social agent? the role of a robotic mediator in autism therapy. In Cognitive technology: instruments of mind, pages 57–74. Springer. DOI logoGoogle Scholar
Zwaigenbaum, L., Bryson, S., Rogers, T., Roberts, W., Brian, J., and Szatmari, P.
(2005) Behavioral manifestations of autism in the first year of life. International Journal of Developmental Neuroscience, 23(2):143–152. DOI logoGoogle Scholar
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