Evidence map›Paper›PMID 40460066›Full record

ArticlePloS one2025

Social bonding between humans, animals, and robots: Dogs outperform AIBOs, their robotic replicas, as social companions.

Stella Klumpe, Kelsey C Mitchell, Emma Cox, Jeffrey S Katz, Lucia Lazarowski, Gopikrishna Deshpande, Jonathan Gratch, Ewart J de Visser, Hasan Ayaz, Xingnan Li and 2 more

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

12 authors.

Stella KlumpeInstitute of Clinical Psychology and Psychotherapy, University of Technology Dresden, Germany.
Kelsey C MitchellSchool of Systems Biology, George Mason University, Virginia, United States of America.
Emma CoxDepartment of Psychological Sciences, Auburn University, Alabama, United States of America.
Jeffrey S KatzDepartment of Psychological Sciences, Auburn University, Alabama, United States of America.
Lucia LazarowskiCanine Performance Sciences Program, College of Veterinary Medicine, Auburn University, Alabama, United States of America.
Gopikrishna DeshpandeDepartment of Psychological Sciences, Auburn University, Alabama, United States of America.
Jonathan GratchUSC Institute for Creative Technologies, California, United States of America.
Ewart J de VisserWarfighter Effectiveness Research Center, United States of America Air Force Academy, Colorado, United States of America.
Hasan AyazSchool of Biomedical Engineering, Science and Health Systems, Drexel University, Pennsylvania, United States of America.ORCID https://orcid.org/0000-0001-5514-2741
Xingnan LiUniversity of Hawaii Cancer Center, Hawaii, United States of America.
Adrian A FrankeUniversity of Hawaii Cancer Center, Hawaii, United States of America.
Frank KruegerSchool of Systems Biology, George Mason University, Virginia, United States of America.ORCID https://orcid.org/0000-0003-3420-2463

Funding

University of Hawaii Cancer Center CCSGP30CA071789 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI Pallav Pokhrel · 1996 to 2026
$56.2M
NCI NIH HHS P30 CA071789
6 · The paper itself

Abstract

In the evolving landscape of technology, robots have emerged as social companions, prompting an investigation into social bonding between humans and robots. While human-animal interactions are well-studied, human-robot interactions (HRI) remain comparatively underexplored. Ethorobotics, a field of social robotic engineering based on ecology and ethology, suggests designing companion robots modeled on animal companions, which are simpler to emulate than humans. However, it is unclear whether these robots can match the social companionship provided by their original models. This study examined social bonding between humans and AIBOs, dog-inspired companion robots, compared to real dogs. Nineteen female participants engaged in 12 affiliative interactions with dogs and AIBOs across two counter-balanced, one-month bonding phases. Social bonding was assessed through urinary oxytocin (OXT) level change over an interaction, self-reported attachment using an adapted version of the Lexington Attachment to Pets Scale, and social companionship evaluations administering the Robot-Dog Questionnaire. To examine OXT level changes and self-reported attachment by comparing the two social companions, we conducted mixed-effects model analyses and planned follow-up comparisons. Frequency comparison, binary logistic regression, and thematic analysis were performed to analyze social companionship evaluations. Results revealed significant differences between dogs and AIBOs in fostering social bonds. OXT level change increased during interactions with dogs but decreased with AIBOs. Participants reported stronger attachment to dogs and rated them as better social companions. These findings highlight the current limitations of AIBOs in fostering social bonding immediately compared to dogs. Our study contributes to the growing HRI research by demonstrating an existing gap between AIBOs and dogs as social companions. It highlights the need for further investigation to understand the complexities of social bonding with companion robots, which is essential to implement successful applications for social robots in diverse domains such as the elderly and health care, education, and entertainment.

Indexed as

Human-Animal BondHuman-Animal InteractionRoboticsSocial BehaviorAdultAnimalsDogsFemaleHumansYoung Adult

Identifiers

PMID40460066
PMCPMC12132934

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.