Evidence map›Paper›PMID 42329989›Full record

ArticlePloS one2026

Edible agents with perceptible minds: A psychological study of human perception in human-food interaction.

Takuma Shimoyama, Yuya Kume, Mei Yamagata, Hideyuki Takahashi, Yoshihiro Nakata

Abstract read
In one paragraph

Article in PloS one, 2026. 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

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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

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3 · Its place in the literature

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4 · The record

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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

5 authors.

Takuma ShimoyamaGraduate School of Informatics and Engineering, The University of Electro-Communications, Chofu, Tokyo, Japan.ORCID https://orcid.org/0009-0008-1584-6611
Yuya KumeGraduate School of Informatics and Engineering, The University of Electro-Communications, Chofu, Tokyo, Japan.
Mei YamagataFaculty of Culture and Information Science, Doshisha University, Kyotanabe, Kyoto, Japan.ORCID https://orcid.org/0000-0002-8499-2419
Hideyuki TakahashiFaculty of Science and Engineering, Otemon Gakuin University, Ibaraki, Osaka, Japan.
Yoshihiro NakataGraduate School of Informatics and Engineering, The University of Electro-Communications, Chofu, Tokyo, Japan.ORCID https://orcid.org/0000-0003-2102-9358

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Investigating the psychological and cognitive mechanisms of eating living beings is important for understanding ethical judgments and decision-making in eating behaviors. For example, the meat paradox describes a conflict about harming animals for food. In addition, perceiving a mind in a target has been shown to influence ethical judgment. However, experimentally investigating such food-related ethical themes is difficult, particularly when using actual animals, due to ethical constraints. Therefore, this study proposes an experimental framework using edible agents. Previous research developed a movable edible robot and examined the psychological and cognitive effects of eating moving food. Building on this, we developed an edible agent capable of social interaction through vocalization and evaluated its psychological effects. We examined how people perceive the minds of edible agents with different vocalization types and behaviors, and how this perception influences reluctance to eat and guilt. In the experiment, participants (N = 1,094) viewed two videos in which edible agents exhibited different vocalizations and movements and evaluated their impressions. Factor analysis of 18 mind-perception items extracted two factors-Agency and Experience-with a cumulative contribution of 57.8% ([Formula: see text] and 0.862, respectively). Agency scores were significantly higher in Video 1 than in Video 2 (W = 481,686, p < .001, r = 0.800), whereas Experience scores were higher in Video 2 (W = 75,619, p < .001, r = 0.717). Reluctance to eat differed significantly (W = 32,018, p < .001, r = 0.270), whereas guilt showed no significant difference (W = 23,369, p = .103, r = 0.108). However, no significant relationship was observed between mind perception and either reluctance to eat or guilt. This study provides new insights into social interactions between humans and edible artificial objects, highlighting the potential of edible agents to deepen understanding of food culture and its ethical dimensions.

Indexed as

Feeding BehaviorPerceptionAdolescentAdultFemaleFoodHumansMaleSocial InteractionYoung Adult

Identifiers

PMID42329989
PMCPMC13286182

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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.