Proceedings Article10.1145/3025453.3025472
Automated Detection of Facial Expressions during Computer-Assisted Instruction in Individuals on the Autism Spectrum
Alex A. Ahmed,Matthew S. Goodwin +1 more
- 02 May 2017
- pp 6050-6055
8
TL;DR: It is suggested that computer-assisted instruction (CAI) is a promising method for educating students on the autism spectrum, but results suggest that emotional (not behavioral) engagement predicted test performance.
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Abstract: It has been suggested that computer-assisted instruction (CAI) is a promising method for educating students on the autism spectrum. We aimed to determine whether automated recognition of facial expressions aided in predicting CAI engagement and learning performance. Seven youth with autism (mean age = 12.7, SD = 4.2) interacted with a CAI program, TeachTown Basics, for 15 consecutive sessions. Video recordings of the participants' faces were collected during these sessions and facial expressions from these videos were analyzed using CERT, an algorithm that automatically outputs intensity values for each facial action unit (AU). Using these data, we attempted to operationally define two engagement indices: (1) behavioral engagement, the proportion of time a participant had their face oriented to the computer screen; and (2) emotional engagement, the activation of AUs previously associated with CAI. Our results suggest that both indices strongly correlated with one another, but that emotional (not behavioral) engagement predicted test performance. CAI knowledge domain, participant sex, and developmental age also contributed to the prediction.
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Citations
SuperpowerGlass: A Wearable Aid for the At-Home Therapy of Children with Autism
Peter Washington,Catalin Voss,Aaron Kline,Nick Haber,Jena Daniels,Azar Fazel,Titas De,Carl Feinstein,Terry Winograd,Dennis P. Wall +9 more
- 11 Sep 2017
TL;DR: A system for automatic facial expression recognition running on Google Glass, delivering real-time social cues to children with Autism Spectrum Disorder, finds that children with ASD generally respond well to wearing the system at home and opt for the most expressive feedback choice.
116
Technology-Aided Interventions and Instruction for Adolescents with Autism Spectrum Disorder.
Samuel L. Odom,Julie L. Thompson,Susan Hedges,Brian A. Boyd,Jessica R. Dykstra,Michelle A. Duda,Kathrine L. Szidon,Leann E. Smith,Aimee Bord +8 more
- 01 Dec 2015
TL;DR: In this article, a theoretical and conceptual framework for examining the use of technology by and for adolescents with ASD in school, home, and community settings is proposed, which is then used to describe the research literature on efficacy of intervention and instruction that utilizes technology.
15
Engaging with the Scenario: Affect and Facial Patterns from a Scenario-Based Intelligent Tutoring System
Benjamin D. Nye,Shamya Karumbaiah,S. Tugba Tokel,Mark G. Core,Giota Stratou,Daniel Auerbach,Kallirroi Georgila +6 more
- 27 Jun 2018
TL;DR: The authors found evidence for relationships between factors and self-reported traits such as academic effort, study habits, and interest in the subject, and found differences in average levels of factors between a video watching activity, and a decision making activity.
11
•Proceedings Article
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Annanda Sousa,Mathieu d'Aquin,Manel Zarrouk,Jennifer Holloway +3 more
- 01 Jan 2020
Metaverse-Based Teaching Technology to Develop the Neuroplasticity for Autism Spectrum Disorder: A Pedagogical Framework
Noor‐A‐Nabi Khan,B. Naheeda Tharannum +1 more
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