Affect Recognition in Autism: a single case study on integrating a humanoid robot in a standard therapy.

Autism Spectrum Disorder (ASD) is a multifaceted developmental disorder that comprises a mixture of social impairments, with deficits in many areas including the theory of mind, imitation, and communication. Moreover, people with autism have difficulty in recognising and understanding emotional expressions. We are currently working on integrating a humanoid robot within the standard clinical treatment offered to children with ASD to support the therapists. In this article, using the A-B-A' single case design, we propose a robot-assisted affect recognition training and to present the results on the child’s progress during the five months of clinical experimentation. In the investigation, we tested the generalization of learning and the long-term maintenance of new skills via the NEPSY-II affection recognition sub-test. The results of this single case study suggest the feasibility and effectiveness of using a humanoid robot to assist with emotion recognition training in children with ASD

Dialogue Design for a Robot-Based Face-Mirroring Game to Engage Autistic Children with Emotional Expressions

We present design strategies for Human Robot Interaction for school-aged autistic children with limited receptive language. Applying these strategies to the DE-ENIGMA project (large EU project addressing emotion recognition in autistic children) supported development of a new activity for in facial expression imitation whereby the robot imitates the child’s face to encourage the child to notice facial expressions in a play-based game. A usability case study with 15 typically-developing children aged 4–6 at an English-language school in the Netherlands was performed to observe the feasibility of the setup and make design revisions before exposing the robot to autistic children

Community Based Program for Young Adults with High Functioning Autism: Social Participation and Dating

Purpose: In the United States, autism spectrum disorders affect 1 in 88 individuals (Centers for Disease Control and Prevention, 2012). Autism spectrum disorders affect individuals throughout their lifespan (Alexander, 2011). The most significant impairment in individuals with high functioning autism experience is qualitative impairment in social interaction (Sadock & Sadock, 2008). Services for individuals with autism spectrum disorders are available until the age of 21. Therefore, adults with autism spectrum disorders have limited access to intervention even though they continue to struggle (Shattuck, Wagner, Narendorf, Sterzinger, & Hansley, 2011). The focus of this project is young adults with high functioning autism spectrum disorder and the social interactions that occur in relationships, specifically dating. Methods: An extensive literature review was conducted in order to understand difficulties individuals face in dating along with evidenced-based interventions for social participation. The information obtained from the literature review was then analyzed using the Person Environment Occupation model (Law et al., 1996). Through the use of the Person Environment Occupation model, a systematic analysis of the occupational performances issues was conducted. Areas of need were then identified and interventions were created to improve occupational performance specific to dating. Results: Based upon the methodology described above, we developed a community based dating intervention protocol for young adults with high functioning autism spectrum disorders. The program includes weekly 90 minute sessions for 14 weeks. Each session focuses on a deficit area identified in the literature review as well as the systematic analysis. Sessions are graded to build upon one another in order to facilitate successful acquisition of dating skills. Conclusion: Several barriers may limit this programs implementation, such as the length of dedicated time to the program, limited funding and resources, and the effectiveness and validity of the program have not yet been researched. Despite these weaknesses, the program has several areas of strength including filling a current need, serving adults with autism spectrum disorders. The program is also based on research and grounded in a model

Emotion recognition of static and dynamic faces in autism spectrum disorder

There is substantial evidence for facial emotion recognition (FER) deficits in autism spectrum disorder (ASD). The extent of this impairment, however, remains unclear, and there is some suggestion that clinical groups might benefit from the use of dynamic rather than static images. High-functioning individuals with ASD (n = 36) and typically developing controls (n = 36) completed a computerised FER task involving static and dynamic expressions of the six basic emotions. The ASD group showed poorer overall performance in identifying anger and disgust and were disadvantaged by dynamic (relative to static) stimuli when presented with sad expressions. Among both groups, however, dynamic stimuli appeared to improve recognition of anger. This research provides further evidence of specific impairment in the recognition of negative emotions in ASD, but argues against any broad advantages associated with the use of dynamic displays

Measuring Engagement in Robot-Assisted Autism Therapy: A Cross-Cultural Study

During occupational therapy for children with autism, it is often necessary to elicit and maintain engagement for the children to benefit from the session. Recently, social robots have been used for this; however, existing robots lack the ability to autonomously recognize the children’s level of engagement, which is necessary when choosing an optimal interaction strategy. Progress in automated engagement reading has been impeded in part due to a lack of studies on child-robot engagement in autism therapy. While it is well known that there are large individual differences in autism, little is known about how these vary across cultures. To this end, we analyzed the engagement of children (age 3–13) from two different cultural backgrounds: Asia (Japan, n = 17) and Eastern Europe (Serbia, n = 19). The children participated in a 25 min therapy session during which we studied the relationship between the children’s behavioral engagement (task-driven) and different facets of affective engagement (valence and arousal). Although our results indicate that there are statistically significant differences in engagement displays in the two groups, it is difficult to make any causal claims about these differences due to the large variation in age and behavioral severity of the children in the study. However, our exploratory analysis reveals important associations between target engagement and perceived levels of valence and arousal, indicating that these can be used as a proxy for the children’s engagement during the therapy. We provide suggestions on how this can be leveraged to optimize social robots for autism therapy, while taking into account cultural differences.MEXT Grant-in-Aid for Young Scientists B (grant no. 16763279)Chubu University Grant I (grant no. 27IS04I (Japan))European Union. HORIZON 2020 (grant agreement no. 701236 (ENGAGEME))European Commission. Framework Programme for Research and Innovation. Marie Sklodowska-Curie Actions (Individual Fellowship)European Commission. Framework Programme for Research and Innovation. Marie Sklodowska-Curie Actions (grant agreement no. 688835 (DE-ENIGMA)