ArticlePloS one2017
Embodied conversational agents for multimodal automated social skills training in people with autism spectrum disorders.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 3 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
17 citing papers in PubMed, 3 syntheses or guidelines pooled it, 147 citations in OpenAlex.
- The effects of social story interventions on individuals with Autism Spectrum Disorders and influencing factors: a meta-analysis of single-case experimental studies.Frontiers in psychology · 2026Pooled it
- The Personalization of Conversational Agents in Health Care: Systematic Review.Journal of medical Internet research · 2019Pooled it
- Conversational agents in healthcare: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2018Pooled it
- Preliminary Evaluation of a Conversational Agent to Support Self-management of Individuals Living With Posttraumatic Stress Disorder: Interview Study With Clinical Experts.JMIR formative research · 2023Article
- The Validation of Automated Social Skills Training in Members of the General Population Over 4 Weeks: Comparative Study.JMIR formative research · 2023Article
- Automatic evaluation-feedback system for automated social skills training.Scientific reports · 2023Article
- An Online Acceptance and Mindfulness Intervention for Chronic Pain in Veterans: Development and Protocol for a Pilot Feasibility Randomized Controlled Trial.JMIR research protocols · 2023Article
- Dialogue Management and Language Generation for a Robust Conversational Virtual Coach: Validation and User Study.Sensors (Basel, Switzerland) · 2023Article
- Qualitative analysis of mental health conversational agents messages about autism spectrum disorder: a call for action.Frontiers in digital health · 2023Article
- Natural Language Processing for Covid-19 Consulting System.Procedia computer science · 2023Article
- The Acceptability of Virtual Characters as Social Skills Trainers: Usability Study.JMIR human factors · 2022Article
- Voice-Controlled Intelligent Personal Assistants in Health Care: International Delphi Study.Journal of medical Internet research · 2021Article
- Analyzing Self-Efficacy and Summary Feedback in Automated Social Skills Training.IEEE open journal of engineering in medicine and biology · 2021Article
- Smart integration of sensors, computer vision and knowledge representation for intelligent monitoring and verbal human-computer interaction.Journal of intelligent information systems · 2021Article
- Effectiveness of Conversational Agents (Virtual Assistants) in Health Care: Protocol for a Systematic Review.JMIR research protocols · 2020Article
- Conversational Interfaces for Health: Bibliometric Analysis of Grants, Publications, and Patents.Journal of medical Internet research · 2019Review
- Electroencephalogram-Based Single-Trial Detection of Language Expectation Violations in Listening to Speech.Frontiers in computational neuroscience · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Social skills training, performed by human trainers, is a well-established method for obtaining appropriate skills in social interaction. Previous work automated the process of social skills training by developing a dialogue system that teaches social communication skills through interaction with a computer avatar. Even though previous work that simulated social skills training only considered acoustic and linguistic information, human social skills trainers take into account visual and other non-verbal features. In this paper, we create and evaluate a social skills training system that closes this gap by considering the audiovisual features of the smiling ratio and the head pose (yaw and pitch). In addition, the previous system was only tested with graduate students; in this paper, we applied our system to children or young adults with autism spectrum disorders. For our experimental evaluation, we recruited 18 members from the general population and 10 people with autism spectrum disorders and gave them our proposed multimodal system to use. An experienced human social skills trainer rated the social skills of the users. We evaluated the system's effectiveness by comparing pre- and post-training scores and identified significant improvement in their social skills using our proposed multimodal system. Computer-based social skills training is useful for people who experience social difficulties. Such a system can be used by teachers, therapists, and social skills trainers for rehabilitation and the supplemental use of human-based training anywhere and anytime.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.