Evidence map›Paper›PMID 42421704›Full record

ArticleFrontiers in psychology2026

Perceived AI interview design and organizational attractiveness: the roles of social presence, telepresence, and AI literacy.

Jie Yu, Seon-Joo Kim

Abstract read
In one paragraph

Article in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Jie YuDepartment of Educational Consulting, Graduate School, Pukyong National University, Busan, Republic of Korea.
Seon-Joo KimCollege of Future Convergence, Pukyong National University, Busan, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: This study examines how candidates' perceptions of AI interview design features influence organizational attractiveness through their anticipated experience of standardized, AI-mediated selection. Applying the stimulus-organism-response (S-O-R) framework, we propose a presence-based model linking three specific design features-human-likeness cues, decision transparency, and feedback informativeness-to social presence and telepresence, which in turn relate to organizational attractiveness as a candidate-side recruitment outcome. Methods: Survey data were collected from 755 job seekers who evaluated a standardized AI interview scenario. The proposed hypotheses were tested using structural equation modeling (SEM). Results: Social presence functioned as the primary and more consistent mechanism linking perceived design features to organizational attractiveness, whereas telepresence played a more constrained role. Candidates' self-reported AI literacy strengthened the positive association between telepresence and organizational attractiveness, but did not significantly moderate the relationship between social presence and organizational attractiveness. Discussion: These findings indicate that candidates' evaluations of AI-mediated recruitment depend not only on formal procedural features but also on the perceived experiential quality of the interaction. By clarifying the presence-based mechanisms underlying candidate reactions, this study extends the literature on technology-mediated selection and offers practical guidance for designing human-centered, candidate-sensitive AI recruitment systems.

Indexed as

AI interviewAI literacyorganizational attractivenesssocial presencetelepresence

Identifiers

PMID42421704
PMCPMC13342212

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.