Comparing Autistic and Neurotypical Responses to Conventional and Modified Questions in Algorithmically Scored Asynchronous Video Interviews: A Textual Analysis

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Benson, A. L., Colley, K. L., Prasad, J. J., Willis, C. M. G., & Powell‐Rudy, T. E. (2024). Comparing Autistic and Neurotypical Responses to Conventional and Modified Questions in Algorithmically Scored Asynchronous Video Interviews: A Textual Analysis. International Journal of Selection and Assessment, 33(1), Article e12512. https://doi.org/10.1111/ijsa.12512

Publication date: 4 Dec 2024 Added to AutiHub: 24 Sep 2026 Type: Article Article language: English
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Authors

Publication authors
5
Autistic authors reported by the publication
Number not specified
  1. Annika L. Benson
  2. Kelsie L. Colley
  3. Joshua J. Prasad
  4. Colin M. G. Willis
  5. Tracy E. Powell‐Rudy

Abstract

ABSTRACT Traditional interviews often rely on social cues and abstract reasoning, posing challenges for some autistic individuals. Asynchronous video interviews (AVIs) and modifications to interview questions were evaluated as two ways to promote inclusion and equity. Autistic candidates answered conventional or modified questions (per expert feedback), which were compared to a random sample of the general population who answered conventional questions. After question modifications, group differences in algorithmically assigned scores remained, highlighting the need for accommodations. The number of words spoken was a differentiator between autistic and neurotypical job seekers. Text analysis revealed systematic differences in response content. Our study emphasizes the complexity of hiring autistic individuals, with the need for tailored accommodations and continued research.

Bibliography cited by this reference

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Cited bibliography overview

These indicators describe the bibliography cited by this publication. An author name is counted each time it appears in one cited reference, so the same person can be counted more than once. Names not yet linked to an author already present in AutiHub are treated as unknown, not as non-autistic. Last computed: 23 Oct 2026 01:01.

Cited references
57
With a DOI
49
Without a DOI, from raw bibliography text
8
4 / 57 (7.0%) cited references include at least one author identified as autistic.
References with data to complete
6 / 57 (10.5%)
References with detected author names
51 / 57 (89.5%)
Without detected author names
6
Without a structured title
6
Without a stable identifier
6
References with raw author names still to review
4
References with external metadata lookup issues
3
These indicators apply to cited references displayed on this page, after technical duplicates have been merged. A reference without a DOI can still support author statistics when a title and author names are available.
Author names detected in the cited bibliography
216
From DOI or external metadata
216
From validated raw bibliography text
0
Raw names already validated
0
Raw names still to review
4
59 / 216 (27.3%) names are linked to an author already present in AutiHub. 157 / 216 (72.7%) names are not yet linked.
Names linked to a person identified as autistic
5 / 216 (2.3%)
Calculated across all author names detected in the cited bibliography. Among names linked to an author already present in AutiHub: 5 / 59 (8.5%). Distinct people identified as autistic: 5 / 201 (2.5%).
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