@article{Sheppard20161247,
title = {How Easy is it to Read the Minds of People with Autism Spectrum Disorder?},
author = {E Sheppard and D Pillai and G T -L Wong and D Ropar and P Mitchell},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84961215349&doi=10.1007%2fs10803-015-2662-8&partnerID=40&md5=d39b6bdebe3c2f33e304eb4d4c09b6fd},
doi = {10.1007/s10803-015-2662-8},
issn = {01623257},
year = {2016},
date = {2016-01-01},
journal = {Journal of Autism and Developmental Disorders},
volume = {46},
number = {4},
pages = {1247-1254},
publisher = {Springer New York LLC},
abstract = {How well can neurotypical adults’ interpret mental states in people with ASD? ‘Targets’ (ASD and neurotypical) reactions to four events were video-recorded then shown to neurotypical participants whose task was to identify which event the target had experienced. In study 1 participants were more successful for neurotypical than ASD targets. In study 2, participants rated ASD targets equally expressive as neurotypical targets for three of the events, while in study 3 participants gave different verbal descriptions of the reactions of ASD and neurotypical targets. It thus seems people with ASD react differently but not less expressively to events. Because neurotypicals are ineffective in interpreting the behaviour of those with ASD, this could contribute to the social difficulties in ASD. © 2015, Springer Science+Business Media New York.},
note = {cited By 37},
keywords = {Adolescent, Adult, Article, Autism, Autism Spectrum Disorders, Decision Making, Emotion, Facial Expression, Female, Human, Male, Mental Health, Nonverbal Communication, Pathophysiology, Priority Journal, Psychology, Video Recording, Young Adult},
pubstate = {published},
tppubtype = {article}
}

@article{Bhat2014841,
title = {Autism: Cause factors, early diagnosis and therapies},
author = {S Bhat and U R Acharya and H Adeli and G M Bairy and A Adeli},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84925284617&doi=10.1515%2frevneuro-2014-0056&partnerID=40&md5=caaa32e66af70e70ec325241d01564c9},
doi = {10.1515/revneuro-2014-0056},
issn = {03341763},
year = {2014},
date = {2014-01-01},
journal = {Reviews in the Neurosciences},
volume = {25},
number = {6},
pages = {841-850},
publisher = {Walter de Gruyter GmbH},
abstract = {Autism spectrum disorder (ASD) is a complex neurobiological disorder characterized by neuropsychological and behavioral deficits. Cognitive impairment, lack of social skills, and stereotyped behavior are the major autistic symptoms, visible after a certain age. It is one of the fastest growing disabilities. Its current prevalence rate in the U.S. estimated by the Centers for Disease Control and Prevention is 1 in 68 births. The genetic and physiological structure of the brain is studied to determine the pathology of autism, but diagnosis of autism at an early age is challenging due to the existing phenotypic and etiological heterogeneity among ASD individuals. Volumetric and neuroimaging techniques are explored to elucidate the neuroanatomy of the ASD brain. Nuroanatomical, neurochemical, and neuroimaging biomarkers can help in the early diagnosis and treatment of ASD. This paper presents a review of the types of autism, etiologies, early detection, and treatment of ASD. © 2014 Walter de Gruyter GmbH.},
note = {cited By 52},
keywords = {4 Aminobutyric Acid, Adolescent, Agenesis of Corpus Callosum, Animal Assisted Therapy, Anticonvulsive Agent, Article, Assistive Technology, Attention, Autism, Autism Spectrum Disorders, Behaviour Therapy, Biological Marker, Brain, Child Development Disorders, Children, Cognition, Cystine, Developmental Disorders, Diseases, Dolphin, Dolphin Assisted Therapy, DSM-5, Early Diagnosis, Emotion, Facial Expression, Functional Magnetic Resonance Imaging, Functional Neuroimaging, Gaze, Glutathione, Glutathione Disulfide, Human, Infant, Interpersonal Communication, Methionine, Nervous System Inflammation, Neurobiology, Neurofeedback, Oxidative Stress, Pervasive, Physiology, Preschool Child, Priority Journal, Psychoeducation, School Child, Social Interactions, Speech Therapy, Virtual Reality, Zonisamide},
pubstate = {published},
tppubtype = {article}
}

@article{Cassidy2014112,
title = {Can adults with autism spectrum disorders infer what happened to someone from their emotional response?},
author = {S Cassidy and D Ropar and P Mitchell and P Chapman},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84894307909&doi=10.1002%2faur.1351&partnerID=40&md5=8c6736bc006e9eebde29427879d023c3},
doi = {10.1002/aur.1351},
issn = {19393792},
year = {2014},
date = {2014-01-01},
journal = {Autism Research},
volume = {7},
number = {1},
pages = {112-123},
publisher = {John Wiley and Sons Inc.},
abstract = {Can adults with autism spectrum disorders (ASD) infer what happened to someone from their emotional response? Millikan has argued that in everyday life, others' emotions are most commonly used to work out the antecedents of behavior, an ability termed retrodictive mindreading. As those with ASD show difficulties interpreting others' emotions, we predicted that these individuals would have difficulty with retrodictive mindreading. Sixteen adults with high-functioning autism or Asperger's syndrome and 19 typically developing adults viewed 21 video clips of people reacting to one of three gifts (chocolate, monopoly money, or a homemade novelty) and then inferred what gift the recipient received and the emotion expressed by that person. Participants' eye movements were recorded while they viewed the videos. Results showed that participants with ASD were only less accurate when inferring who received a chocolate or homemade gift. This difficulty was not due to lack of understanding what emotions were appropriate in response to each gift, as both groups gave consistent gift and emotion inferences significantly above chance (genuine positive for chocolate and feigned positive for homemade). Those with ASD did not look significantly less to the eyes of faces in the videos, and looking to the eyes did not correlate with accuracy on the task. These results suggest that those with ASD are less accurate when retrodicting events involving recognition of genuine and feigned positive emotions, and challenge claims that lack of attention to the eyes causes emotion recognition difficulties in ASD. Autism Res 2014, 7: 112-123. © 2013 International Society for Autism Research, Wiley Periodicals, Inc.},
note = {cited By 21},
keywords = {Accuracy, Adult, Aged, Article, Asperger Syndrome, Attention, Autism, Behaviour, Cacao, Child Development Disorders, Clinical Article, Concept Formation, Controlled Study, Deception, Discrimination (Psychology), Emotion, Eye Movement, Eye Tracking, Face Processing, Facial Expression, Female, Human, Interpersonal Relations, Male, Middle Aged, Money, Pervasive, Priority Journal, Recipient, Recognition, Reference Values, Retrodictive Mindreading, Spontaneous Emotion Recognition, Theory of Mind, Video Recording, Young Adult},
pubstate = {published},
tppubtype = {article}
}

@article{Pillai20142430,
title = {Using other minds as a window onto the world: Guessing what happened from clues in behaviour},
author = {D Pillai and E Sheppard and D Ropar and L Marsh and A Pearson and P Mitchell},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84912053354&doi=10.1007%2fs10803-014-2106-x&partnerID=40&md5=c3396f6f468e37e253c657f998993859},
doi = {10.1007/s10803-014-2106-x},
issn = {01623257},
year = {2014},
date = {2014-01-01},
journal = {Journal of Autism and Developmental Disorders},
volume = {44},
number = {10},
pages = {2430-2439},
publisher = {Springer New York LLC},
abstract = {It has been proposed that mentalising involves retrodicting as well as predicting behaviour, by inferring previous mental states of a target. This study investigated whether retrodiction is impaired in individuals with autism spectrum disorders (ASD). Participants watched videos of real people reacting to the researcher behaving in one of four possible ways. Their task was to decide which of these four ‘‘scenarios’’ each person responded to. Participants’ eye movements were recorded. Participants with ASD were poorer than comparison participants at identifying the scenario to which people in the videos were responding. There were no group differences in time spent looking at the eyes or mouth. The findings imply those with ASD are impaired in using mentalising skills for retrodiction. © Springer Science+Business Media New York 2014.},
note = {cited By 17},
keywords = {Adolescent, Adult, Article, Autism, Child Development Disorders, Children, Clinical Article, Cognition, Controlled Study, Eye Movement, Eye Tracking, Facial Expression, Gaze, Human, Intelligence Quotient, Male, Measurement Accuracy, Mouth, Pathophysiology, Pervasive, Physiology, Psychological Aspect, Psychology, Retrodiction, Task Performance, Theory of Mind, Verbal Communication, Video Recording, Videotape Recording, Young Adult},
pubstate = {published},
tppubtype = {article}
}

@article{Modugumudi2013321,
title = {Efficacy of collaborative virtual environment intervention programs in emotion expression of children with autism},
author = {Y R Modugumudi and J Santhosh and S Anand},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84881262807&doi=10.1166%2fjmihi.2013.1167&partnerID=40&md5=c8e767c8eba2bbbec5ff36a43eb59af6},
doi = {10.1166/jmihi.2013.1167},
issn = {21567018},
year = {2013},
date = {2013-01-01},
journal = {Journal of Medical Imaging and Health Informatics},
volume = {3},
number = {2},
pages = {321-325},
abstract = {Exploratory empirical studies on Collaborative Virtual Environments (CVEs) were conducted to determine if children with autism could make basic emotional recognition effectively, with the use of CVEs as assistive technology. In this paper we report the results of electro-physiological study of two groups of autistic children after an intervention program with and without using Collaborative Virtual Environment. The group trained with CVE showed better results compared to the group trained without Collaborative virtual Environment. There is an emphasized early emotion expression positivity component at around 120 ms latency for CVE trained group which clearly distinguishes the CVE untrained group. Also there are differences observed in Event Related Potential component at about 170 ms latency after the stimulus. Results indicate that the Collaborative Virtual Environments are effective in training Autistic children. © 2013 American Scientific Publishers.},
note = {cited By 4},
keywords = {Adolescent, Adult, Article, Autism, Children, Clinical Article, Collaborative Virtual Environment, Controlled Study, DSM-IV, Electroencephalogram, Electroencephalography, Electrooculogram, Emotion, Environment, Event Related Potential, Facial Expression, Female, Human, Latent Period, Male, Recognition, School Child},
pubstate = {published},
tppubtype = {article}
}

@article{Valeria2011486,
title = {Learn with me: Collaborative virtual learning for the special children},
author = {N Valeria and B T Lau},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-79960383135&doi=10.1007%2f978-3-642-22170-5_42&partnerID=40&md5=89b9176492a888e25b3dc5711a8a9f97},
doi = {10.1007/978-3-642-22170-5_42},
issn = {18650929},
year = {2011},
date = {2011-01-01},
journal = {Communications in Computer and Information Science},
volume = {179 CCIS},
number = {PART 1},
pages = {486-505},
abstract = {Collaborative learning environment is regarded as stimulating and engaging for normal learners. The main aim of our research is to investigate its effectiveness in assisting the learning of children with disabilities. We developed a prototype, Learn with Me and conducted a testing on 6 children who have been diagnosed with cerebral palsy and 7 children who have been diagnosed with autism spectrum disorders. Participants were invited to take part in two tests. Result showed participants learn better with responsive virtual tutor as compared to non-responsive virtual learning. © 2011 Springer-Verlag.},
note = {cited By 0},
keywords = {Autism, Cerebral Palsy, Collaborative Learning, Collaborative Virtual Learning, Computer Supported Cooperative Work, Diseases, E-learning, Emotion, Face Recognition, Facial Expression, Gesture Recognition, Handicapped Persons, Software Engineering},
pubstate = {published},
tppubtype = {article}
}