Event Title

InterViewR: A Mixed-Reality based Interview Training Simulation for Individuals with Autism

Co-Author(s)

Anais Dawson, Christopher White, Marley Medema, Matthew Stepita, Nicholas Kim, Shameem Ahmed, Moushumi Sharmin, Wesley Dekeke

Research Mentor(s)

Shameem Ahmed

Description

Job interviews are high-stress social encounters that are uniquely challenging for individuals with Autism Spectrum Disorder (ASD). Training simulations are increasingly used for interview preparation but are limited by environment immersivity and affective state responsiveness. We present InterViewR, a mixed-reality environment merging digital interview training in immersive virtual reality with wearable smart technology to provide intelligent affective bio-feedback. We conducted an evaluation of InterViewR with three user groups: individuals with ASD, neurotypical individuals, and career counselors (n=10) to gather feedback pertaining to feasibility, usability, and effectiveness. InterViewR was successful at providing real-time and reflective feedback based on the user’s affective states, which were considered effective. Participants were enthusiastic about the potential of InterViewR in aiding interview training. Interestingly, two users were so enamored by the novelty of InterViewR that they failed to notice the real-time feedback. We provide future directions, which can advance understanding pertaining to the design of intelligent affective technology.

Document Type

Event

Start Date

15-5-2019 9:00 AM

End Date

15-5-2019 5:00 PM

Location

Carver Gym (Bellingham, Wash.)

Department

Computer Science

Genre/Form

student projects, posters

Type

Image

Rights

Copying of this document in whole or in part is allowable only for scholarly purposes. It is understood, however, that any copying or publication of this document for commercial purposes, or for financial gain, shall not be allowed without the author’s written permission.

Language

English

Format

application/pdf

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May 15th, 9:00 AM May 15th, 5:00 PM

InterViewR: A Mixed-Reality based Interview Training Simulation for Individuals with Autism

Carver Gym (Bellingham, Wash.)

Job interviews are high-stress social encounters that are uniquely challenging for individuals with Autism Spectrum Disorder (ASD). Training simulations are increasingly used for interview preparation but are limited by environment immersivity and affective state responsiveness. We present InterViewR, a mixed-reality environment merging digital interview training in immersive virtual reality with wearable smart technology to provide intelligent affective bio-feedback. We conducted an evaluation of InterViewR with three user groups: individuals with ASD, neurotypical individuals, and career counselors (n=10) to gather feedback pertaining to feasibility, usability, and effectiveness. InterViewR was successful at providing real-time and reflective feedback based on the user’s affective states, which were considered effective. Participants were enthusiastic about the potential of InterViewR in aiding interview training. Interestingly, two users were so enamored by the novelty of InterViewR that they failed to notice the real-time feedback. We provide future directions, which can advance understanding pertaining to the design of intelligent affective technology.