Increasing access to diagnostic services is crucial for identifying ASD in young children. We therefore evaluated a telemedicine assessment procedure. First, we compared telediagnostic accuracy to blinded gold-standard evaluations (n = 20). ASD cases identified via telemedicine were confirmed by in-person evaluation. However, 20% of children diagnosed with ASD in-person were not diagnosed via telemedicine. Second, we evaluated telediagnostic feasibility and acceptability in a rural catchment. Children (n = 45) and caregivers completed the telemedicine procedure and provided feedback. Families indicated high levels of satisfaction. Remote diagnostic clinicians diagnosed 62% of children with ASD, but did not feel capable of ruling-in or out ASD in 13% of cases. Findings support preliminary feasibility, accuracy, and clinical utility of telemedicine-based assessment of ASD for young children.

The COVID-19 pandemic has caused unprecedented disruptions to healthcare, including direct impacts on service delivery related to autism spectrum disorder (ASD). Caregiver-mediated tele-assessment offers an opportunity to continue services while adhering to social distancing guidelines. The present study describes a model of tele-assessment for ASD in young children, implemented in direct response to disruptions in care caused by the COVID-19 pandemic. We present preliminary data on the outcomes and provider perceptions of tele-assessments, together with several lessons learned during the period of initial implementation.

Telemedicine tools have potential for increasing access to diagnostic services for children with autism spectrum disorder (ASD). Past work has utilized tele-assessment procedures in which remote psychologists observe administration of interactive screening instruments by trained, on-site providers. Although promising, this approach relies on two clinicians, limiting its efficiency and scalability. The present study examined the use, acceptability, and parents' perceptions of two caregivermediated tools for assessing ASD risk in toddlers, in which remote clinicians guided parents to complete interactive screening activities with their children. Most parents found tele-assessment to be comfortable, and many reported liking the parent-led nature of these tools. Parents also offered constructive feedback, which was used to modify the tele-assessment process for future study. Keywords Autism spectrum disorder • Diagnosis • Telemedicine • Young childrenAs the prevalence of autism spectrum disorder (ASD) has increased, so too have needs for screening, diagnosis, and intervention access for young children. Current prevalence estimates indicate that one in 54 children has ASD (Maenner 2020). To maximize early identification and intervention, American Academy of Pediatrics guidelines recommend combining routine developmental surveillance at all pediatric visits with standardized autism-specific screening for all children at 18 and 24 months of age, as well as at any point that caregivers report concerns (Hyman et al. 2020).

Although it has often been argued that clinical applications of advanced technology may hold promise for addressing impairments associated with autism spectrum disorder (ASD), relatively few investigations have indexed the impact of intervention and feedback approaches. This pilot study investigated the application of a novel robotic interaction system capable of administering and adjusting joint attention prompts to a small group (n = 6) of children with ASD. Across a series of four sessions, children improved in their ability to orient to prompts administered by the robotic system and continued to display strong attention toward the humanoid robot over time. The results highlight both potential benefits of robotic systems for directed intervention approaches as well as potent limitations of existing humanoid robotic platforms.

Mothers of children with autism report higher levels of depression than mothers of children with other developmental disabilities. We explored the relations between child characteristics of diagnostic severity and problem behaviors, parenting stress, relationship quality, and depressive symptoms in 70 mothers of young children with autism. We hypothesized that relationship quality and parenting stress would relate to maternal depression beyond contributions of child characteristics. Multiple regression analysis revealed a main effect of parenting stress above and beyond child problem behaviors and autism severity. A significant interaction emerged, with relationship quality buffering the effect of parenting stress on depression. Results suggest that the relation between child problem behaviors and maternal depression should be considered in conjunction with other measures of marriage and family stress. Relationship quality and parenting stress may also represent important factors to be explicitly considered within intervention paradigms for young children with autism spectrum disorders.

Teenagers with autism spectrum disorder (ASD) and age-matched controls participated in a dynamic facial affect recognition task within a virtual reality (VR) environment. Participants identified the emotion of a facial expression displayed at varied levels of intensity by a computer generated avatar. The system assessed performance (i.e., accuracy, confidence ratings, response latency, and stimulus discrimination) as well as how participants used their gaze to process facial information using an eye tracker. Participants in both groups were similarly accurate at basic facial affect recognition at varied levels of intensity. Despite similar performance characteristics, ASD participants endorsed lower confidence in their responses and substantial variation in gaze patterns in absence of perceptual discrimination deficits. These results add support to the hypothesis that deficits in emotion and face recognition for individuals with ASD are related to fundamental differences in information processing. We discuss implications of this finding in a VR environment with regards to potential future applications and paradigms targeting not just enhanced performance, but enhanced social information processing within intelligent systems capable of adaptation to individual processing differences.

(1) Objective to find longitudinal evidence of the effect of targeted peer victimization (TPV) on depressive cognitions as a function of victimization type and gender. (2) Method Prospective relations of physical and relational peer victimization to positive and negative self-cognitions were examined in a one-year, two-wave longitudinal study. Self-reports of cognitions and both peer nomination and self-report measures of peer victimization experiences were obtained from 478 predominantly Caucasian children and young adolescents (grades 3 through 6 at the beginning of the study) evenly split between genders. (3) Results (a) peer victimization predicted increases in negative cognitions and decreases in positive cognitions over time; (b) relational victimization was more consistently related to changes in depressive cognitions than was physical victimization; (c) the prospective relation between victimization and depressive cognitions was stronger for boys than for girls; and (d) when the overlap between relational and physical TPV was statistically controlled, girls experienced more relational TPV than did boys, and boys experienced more physical TPV than did girls. (4) Conclusions Peer victimization, particularly relational TPV, has a significant impact on children’s depressive cognitions. This relation seems particularly true for boys. Implications for future research, clinical work with victimized youth at risk for depression, and school policy to help both victims and bullies are discussed.

Autism spectrum disorder (ASD) impacts 1 in 68 children in the US, with tremendous individual and societal costs. Technology-aided intervention, more specifically robotic intervention, has gained momentum in recent years due to the inherent affinity of many children with ASD towards technology. In this paper we present a novel robot-mediated intervention system for imitation skill learning, which is considered a core deficit area for children with ASD. The Robot-mediated Imitation Skill Training Architecture (RISTA) is designed in such a manner that it can operate either completely autonomously or in coordination with a human therapist depending on the intervention need. Experimental results are presented from small user studies validating system functionality, assessing user tolerance, and documenting subject performance. Preliminary results show that this novel robotic system draws more attention from the children with ASD and teaches gestures more effectively as compared to a human therapist. While no broad generalized conclusions can be made about the effectiveness of RISTA based on our small user studies, initial results are encouraging and justify further exploration in the future.