Evidence map›Paper›PMID 41258155›Full record

ArticlePsychological research2025

Level-1-visual perspective taking for human and robot avatars.

Christine Blech, Hanna Lembcke, Cédric A Bouquet, Roman Liepelt

Abstract read
In one paragraph

Article in Psychological research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

4 authors.

Christine BlechDepartment of General Psychology: Judgment, Decision Making, Action, Faculty of Psychology, FernUniversität in Hagen, Hagen, Germany. christine.blech@fernuni-hagen.de.ORCID http://orcid.org/0000-0002-3188-6065
Hanna LembckeDepartment of General Psychology: Judgment, Decision Making, Action, Faculty of Psychology, FernUniversität in Hagen, Hagen, Germany.ORCID http://orcid.org/0000-0003-3088-7928
Cédric A BouquetUniversité Clermont Auvergne, CNRS, LAPSCO, Clermont-Ferrand, France.ORCID http://orcid.org/0000-0003-4228-3291
Roman LiepeltDepartment of General Psychology: Judgment, Decision Making, Action, Faculty of Psychology, FernUniversität in Hagen, Hagen, Germany.ORCID http://orcid.org/0000-0002-4656-6267

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Research on level 1 visual perspective taking (L1-VPT) has been debating whether L1-VPT is an implicit socially rooted or rather a non-social process. Using online versions of the Dot Perspective Task by Samson et al. (Journal of Experimental Psychology: Human Perception and Performance, 36(5), 1255-1266, 2010) we approached this question by comparing L1-VPT for robot vs. human avatars. In line with the assumption that visual perspective taking is due to mentalizing, we predicted that perspective taking, leading to altercentric intrusions, should occur more strongly for the human avatars than for the robot avatars. In two experiments, a within-participant design was applied: 2 (avatar: human vs. robot) × 2 (avatar perspective: consistent vs. inconsistent) × 2 (task: avatar perspective vs. self-perspective). The human avatar was a male in Experiment 1 (n = 120) and a female in Experiment 2 (n = 113). The analyses of reaction times and error rates showed significant, medium to large egocentric intrusions and significant, small to medium altercentric intrusions for both avatar types, suggesting interference from the irrelevant perspective. Against the prediction, the altercentric intrusions for human avatars were not significantly larger than for robot avatars. Taking into account methodological concerns and suggesting future experimental variations, we argue that the submentalizing approach assuming that visual perspective taking is based on domain general processes provides a good explanation for our results.

Indexed as

RoboticsSocial PerceptionTheory of MindVisual PerceptionAdolescentAdultAvatarFemaleHumansMaleReaction TimeYoung AdultAnthropomorphismAvatarsHuman robot interactionLevel 1 visual perspective takingRobots

Identifiers

PMID41258155
PMCPMC12630287

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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.