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Multimodal job interview simulator for training of autistic individuals.
Adiani, Deeksha; Breen, Michael; Migovich, Miroslava; Wade, Joshua; Hunt, Spencer; Tauseef, Mahrukh; Khan, Nibraas; Colopietro, Kelley; Lanthier, Megan; Swanson, Amy; Vogus, Timothy J; Sarkar, Nilanjan.
Afiliación
  • Adiani D; Computer Science, Vanderbilt University, Nashville, Tennessee, USA.
  • Breen M; Mechanical Engineering, Vanderbilt University, Nashville, Tennessee, USA.
  • Migovich M; Mechanical Engineering, Vanderbilt University, Nashville, Tennessee, USA.
  • Wade J; Mechanical Engineering, Vanderbilt University, Nashville, Tennessee, USA.
  • Hunt S; Mechanical Engineering, Vanderbilt University, Nashville, Tennessee, USA.
  • Tauseef M; Electrical and Computer Engineering, Vanderbilt University, Nashville, Tennessee, USA.
  • Khan N; Computer Science, Vanderbilt University, Nashville, Tennessee, USA.
  • Colopietro K; Mechanical Engineering, Vanderbilt University, Nashville, Tennessee, USA.
  • Lanthier M; TRIAD, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Swanson A; TRIAD, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Vogus TJ; Owen School of Management, Vanderbilt University, Nashville, Tennessee, USA.
  • Sarkar N; Computer Science, Vanderbilt University, Nashville, Tennessee, USA.
Assist Technol ; 36(1): 22-39, 2024 01 02.
Article en En | MEDLINE | ID: mdl-37000014
ABSTRACT
Autistic individuals face difficulties in finding and maintaining employment, and studies have shown that the job interview is often a significant barrier to obtaining employment. Prior computer-based job interview training interventions for autistic individuals have been associated with better interview outcomes. These previous interventions, however, do not leverage the use of multimodal data that could give insight into the emotional underpinnings of autistic individuals' challenges in job interviews. In this article, the authors present the design of a novel multimodal job interview training platform called CIRVR that simulates job interviews through spoken interaction and collects eye gaze, facial expressions, and physiological responses of the participants to understand their stress response and their affective state. Results from a feasibility study with 23 autistic participants who interacted with CIRVR are presented. In addition, qualitative feedback was gathered from stakeholders on visualizations of data on CIRVR's visualization tool called the Dashboard. The data gathered indicate the potential of CIRVR along with the Dashboard to be used in the creation of individualized job interview training of autistic individuals.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Trastorno Autístico Tipo de estudio: Qualitative_research Límite: Humans Idioma: En Revista: Assist Technol Asunto de la revista: REABILITACAO Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Trastorno Autístico Tipo de estudio: Qualitative_research Límite: Humans Idioma: En Revista: Assist Technol Asunto de la revista: REABILITACAO Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos