Evidence map›Paper›PMID 40271364›Full record

ReviewFrontiers in psychology2025

From robots to chatbots: unveiling the dynamics of human-AI interaction.

Albert Łukasik, Arkadiusz Gut

Abstract readReview
In one paragraph

Review in Frontiers in psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Artificial Intelligence Interventions Targeting Obesity-Related Behaviors: Protocol for a Scoping Review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
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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.

Albert ŁukasikDepartment of Cognitive Science, Doctoral School of Social Sciences, Nicolaus Copernicus University in Toruń, Toruń, Poland.
Arkadiusz GutDepartment of Cognitive Science, Faculty of Philosophy and Social Sciences, Nicolaus Copernicus University in Toruń, Toruń, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid integration of artificial agents-robots, avatars, and chatbots-into human social life necessitates a deeper understanding of human-AI interactions and their impact on social interaction. Artificial agents have become integral across various domains, including healthcare, education, and entertainment, offering enhanced efficiency, personalization, and emotional connectivity. However, their effectiveness in providing successful social interaction is influenced by various factors that impact both their reception and human responses during interaction. The present article explores how different forms of these agents influence processes essential for social interaction, such as attributing mental states and intentions and shaping emotions. The goal of this paper is to analyze the roles that artificial agents can and cannot assume in social environments, the stances humans adopt toward them, and the dynamics of human-artificial agent interactions. Key factors associated with the artificial agent's design such as physical appearance, adaptability to human behavior, user beliefs and knowledge, transparency of social cues, and the uncanny valley phenomenon have been selected as factors that significant influence social interaction in AI contexts.

Indexed as

Chatbothuman-robot interactionsocial cognitiontheory of mindvirtual agent

Identifiers

PMID40271364
PMCPMC12014614

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.