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Social bonding between humans, animals, and robots: Dogs outperform AIBOs, their robotic replicas, as social companions
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.
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“Real animals were often preferred over robot animals”
From The Effectiveness of Artificial Intelligence-Based Pet Therapy in Improving the Care of Patients: A Systematic Review (2026) · cites this paper as [33]
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“social bonding with robotic dogs appeared weaker than bonding with real dogs in some comparative studies [33,34].”
From The Effectiveness of Artificial Intelligence-Based Pet Therapy in Improving the Care of Patients: A Systematic Review (2026) · cites this paper as [33]
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“although live animals were often preferred and may produce stronger social bonding.”
From The Effectiveness of Artificial Intelligence-Based Pet Therapy in Improving the Care of Patients: A Systematic Review (2026) · cites this paper as [33]
In the citing paper
“a recent crossover study found stronger attachment and greater oxytocin increases with real dogs than with AIBO in healthy young adults [33].”
From The Effectiveness of Artificial Intelligence-Based Pet Therapy in Improving the Care of Patients: A Systematic Review (2026) · cites this paper as [33]
In the citing paper
“robotic companions, despite showing promising short-term emotional benefits, may still elicit less pronounced social bonding than live animals”
From The Effectiveness of Artificial Intelligence-Based Pet Therapy in Improving the Care of Patients: A Systematic Review (2026) · cites this paper as [33]
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Citations
Cites
Using thematic analysis in psychology
Braun, V., & Clarke, V. (2006) · Qualitative Research in Psychology · doi:10.1191/1478088706qp063oa · Cited by 194,414
Oxytocin, Neural Plasticity, and Social Behavior
Froemke, R. C., & Young, L. J. (2021) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-102320-102847 · Cited by 480
Van IJzendoorn, M. H., & Bakermans-Kranenburg, M. J. (2012) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2011.07.008 · Cited by 365
Robots at home: Understanding long-term human-robot interaction
Kidd, C. D., & Breazeal, C. (2008) · 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems · doi:10.1109/iros.2008.4651113 · Cited by 332
Shahrestani, S., Kemp, A. H., & Guastella, A. J. (2013) · Neuropsychopharmacology · doi:10.1038/npp.2013.86 · Cited by 283
Advances in human oxytocin measurement: challenges and proposed solutions
Tabak, B. A., Leng, G., Szeto, A., Parker, K. J., Verbalis, J. G., Ziegler, T. E., Lee, M. R., Neumann, I. D., & Mendez, A. J. (2023) · Molecular Psychiatry · doi:10.1038/s41380-022-01719-z · Cited by 170
Flagged first, then by citations
Research works printed but not linked: 52
- C Lieberwirth, 2014, Social bonding: regulation by neuropeptides, Front Neurosci, 8, 171, 10.3389/fnins.2014.00171 · DOI
- JM Beer, 2017, Affective human-robot interaction., 359, 10.1016/B978-0-12-801851-4.00015-X · DOI
- EC Collins, 2019, Drawing parallels in human-other interactions: a trans-disciplinary approach to developing human-robot interaction methodologies, Philos Trans R Soc Lond B Biol Sci, 374, 20180433, 10.1098/rstb.2018.0433 · DOI
- WS Helton, 2009, Canine Ergonomics: The Science of Working Dogs, 10.1201/9781420079920 · DOI
- Á Miklósi, 2017, Ethorobotics: A New Approach to Human-Robot Relationship, Front Psychol, 8, 958, 10.3389/fpsyg.2017.00958 · DOI
- C Breazeal, 2002, Recognition of affective communicative intent in robot-directed speech, Auton Robots, 12, 83, 10.1023/A:1013215010749 · DOI
- C Breazeal, 2008, Social robots that interact with people., 1349, 10.1007/978-3-540-30301-5_59 · DOI
- DC Herath, 2013, Adopt-a-robot: A story of attachment (Or the lack thereof), 135
- N Koyama, 2017, Emotional or Social? How to Enhance Human-Robot Social Bonding., 203, 10.1145/3125739.3125742 · DOI
- K Youssef, 2016, Exploring the social bonding that evolves between a human and a minimally designed accompanying robot, Inf Media Technol, 11, 250
- E de Visser, 2020, Towards a theory of longitudinal trust calibration in human–robot teams, Int J Soc Robot, 12, 459, 10.1007/s12369-019-00596-x · DOI · Paper page
- AM Barchi-Ferreira, 2021, Associations between oxytocin and empathy in humans: A systematic literature review, Psychoneuroendocrinology, 129, 105268, 10.1016/j.psyneuen.2021.105268 · DOI
- OV Burenkova, 2023, Endogenous oxytocin and human social interactions: A systematic review and meta-analysis, Psychol Bull, 149, 549, 10.1037/bul0000402 · DOI
- N Rigney, 2022, Oxytocin, Vasopressin, and Social Behavior: From Neural Circuits to Clinical Opportunities, Endocrinology, 163, 10.1210/endocr/bqac111 · DOI · Paper page
- SB Algoe, 2017, Oxytocin and Social Bonds: The Role of Oxytocin in Perceptions of Romantic Partners’ Bonding Behavior, Psychol Sci, 28, 1763, 10.1177/0956797617716922 · DOI
- EJ de Visser, 2017, A Little Anthropomorphism Goes a Long Way, Hum Factors, 59, 116, 10.1177/0018720816687205 · DOI
- M Olff, 2013, The role of oxytocin in social bonding, stress regulation and mental health: an update on the moderating effects of context and interindividual differences, Psychoneuroendocrinology, 38, 1883, 10.1016/j.psyneuen.2013.06.019 · DOI · Paper page
- Johnson EA, Portillo A, Bennett NE, Gray PB. Exploring women's oxytocin responses to interactions with their pet cats. PeerJ. 2021 Nov 12;9:e12393. · DOI
- M Nagasawa, 2015, Oxytocin-gaze positive loop and the coevolution of human-dog bonds, Science, 348, 333, 10.1126/science.1261022 · DOI · Paper page
- L Powell, 2019, The physiological function of oxytocin in humans and its acute response to human-dog interactions: a review of the literature, J Vet Behav, 30, 25, 10.1016/j.jveb.2018.10.008 · DOI · Paper page
- T Romero, 2014, Oxytocin promotes social bonding in dogs, Proc Natl Acad Sci U S A, 111, 9085, 10.1073/pnas.1322868111 · DOI
- S Imamura, 2023, Higher oxytocin concentrations occur in subjects who build affiliative relationships with companion robots, iScience, 26, 108562, 10.1016/j.isci.2023.108562 · DOI
- M de Graaf, 2017, Long-term evaluation of a social robot in real homes, Interact Stud, 17, 461, 10.1075/is.17.3.08deg · DOI
- MAR Udell, 2008, A review of domestic dogs’ (Canis familiaris) human-like behaviors: or why behavior analysts should stop worrying and love their dogs, J Exp Anal Behav, 89, 247, 10.1901/jeab.2008.89-247 · DOI
- B Hare, 2002, The domestication of social cognition in dogs, Science, 298, 1634, 10.1126/science.1072702 · DOI
- M Gácsi, 2001, Attachment behavior of adult dogs (Canis familiaris) living at rescue centers: forming new bonds, J Comp Psychol, 115, 423, 10.1037/0735-7036.115.4.423 · DOI
- SD Gosling, 2003, A dog’s got personality: a cross-species comparative approach to personality judgments in dogs and humans, J Pers Soc Psychol, 85, 1161, 10.1037/0022-3514.85.6.1161 · DOI
- D Mota-Rojas, 2021, Current Advances in Assessment of Dog’s Emotions, Facial Expressions, and Their Use for Clinical Recognition of Pain, Animals (Basel), 11, 3334, 10.3390/ani11113334 · DOI
- E Payne, 2015, Current perspectives on attachment and bonding in the dog-human dyad, Psychol Res Behav Manag, 8, 71, 10.2147/PRBM.S74972 · DOI · Paper page
- K Soproni, 2002, Dogs’ (Canis familiaris) responsiveness to human pointing gestures, J Comp Psychol, 116, 27, 10.1037/0735-7036.116.1.27 · DOI
- P Valsecchi, 2010, Development of the attachment bond in guide dogs, Appl Anim Behav Sci, 123, 43, 10.1016/j.applanim.2009.12.012 · DOI
- F Krueger, 2021, Human–dog relationships as a working framework for exploring human–robot attachment: a multidisciplinary review, Anim Cogn, 24, 371, 10.1007/s10071-021-01472-w · DOI
- Schellin H, Oberley T, Patterson K, Kim B, Haring KS, Tossell CC, et al. Man’s New Best Friend? Strengthening Human-Robot Dog Bonding by Enhancing the Doglikeness of Sony’s Aibo. In: 2020 Systems and Information Engineering Design Symposium (SIEDS). IEEE. 2020. 1–6. doi: 10.1109/sieds49339.2020.9106587 · DOI
- E de Visser, 2022, Designing man’s new best friend: enhancing human-robot dog interaction through dog-like framing and appearance, Sensors, 22, 1287, 10.3390/s22031287 · DOI
- P Korondi, 2015, Etho-robotics: What kind of behaviour can we learn from the animals?, IFAC-PapersOnLine, 48, 244, 10.1016/j.ifacol.2015.12.041 · DOI
- E Phillips, 2012, Human-animal teams as an analog for future human-robot teams, Proc Hum Factors Ergon Soc Annu Meet, 56, 1553, 10.1177/1071181312561309 · DOI
- E Knox, 2018, AIBO Robot Mortuary Rites in the Japanese Cultural Context., 2020, 10.1109/IROS.2018.8594066 · DOI
- V Konok, 2018, Should we love robots? – The most liked qualities of companion dogs and how they can be implemented in social robots, Comput Hum Behav, 80, 132, 10.1016/j.chb.2017.11.002 · DOI · Paper page
- S Stange, 2022, Self-Explaining Social Robots: An Explainable Behavior Generation Architecture for Human-Robot Interaction, Front Artif Intell, 5, 866920, 10.3389/frai.2022.866920 · DOI
- B Friedman, 2003, Hardware companions?: what online AIBO discussion forums reveal about the human-robotic relationship, 273
- RR McCrae, 1999, PT. A Five-Factor theory of personality, 139
- C Esterwood, 2021, A meta-analysis of human personality and robot acceptance in human-robot interaction, 1
- S Forgas-Coll, 2024, Does the personality of consumers influence the assessment of the experience of interaction with social robots?, Int J Soc Robotics, 16, 1167, 10.1007/s12369-022-00935-5 · DOI
- C Jasso del Toro, 2019, Affiliative behaviors., 1, 10.1007/978-3-319-47829-6_1040-1 · DOI
- LR Goldberg, 1992, The development of markers for the Big-Five factor structure, Psychological Assessment, 4, 26, 10.1037/1040-3590.4.1.26 · DOI · Paper page
- TP Johnson, 1992, Psychometric evaluation of the Lexington attachment to pets scale (laps), Anthrozoös, 5, 160, 10.2752/089279392787011395 · DOI
- G Fowler, 2018, Women outnumber men in psychology graduate programs, Monitor on Psychology, 49
- E Kislev, 2023, The robot-gender divide: How and why men and women differ in their attitudes toward social robots, Soc Sci Comput Rev, 41, 2230, 10.1177/08944393231155674 · DOI
- M de Graaf, 2017, The influence of prior expectations of a robot’s lifelikeness on users’ intentions to treat a zoomorphic robot as a companion, Int J Soc Robotics, 9, 17, 10.1007/s12369-016-0340-4 · DOI
- C Bartneck, 2006, The influence of people’s culture and prior experiences with Aibo on their attitude towards robots, AI & Soc, 21, 217, 10.1007/s00146-006-0052-7 · DOI
- KS Haring, 2014, Cultural Differences in Perception and Attitude towards Robots, International Journal of Affective Engineering, 13, 149, 10.5057/ijae.13.149 · DOI
- O Korn, 2021, Understanding cultural preferences for social robots: a study in German and Arab communities, J Hum-Robot Interact, 10, 1, 10.1145/3439717 · DOI
Cited by
Sorted by citations
Trajbarič, T., Muršec, D., Svenšek, A., Štiglic, G., & Gosak, L. (2026) · Applied Sciences · doi:10.3390/app16104683
Metadata
- Authors
- Klumpe, S., Mitchell, K. C., Cox, E., Katz, J. S., Lazarowski, L., Deshpande, G., Gratch, J., de Visser, E. J., Ayaz, H., Li, X., Franke, A. A., & Krueger, F.
- Venue
- PLOS One
- Publisher
- Public Library of Science (PLoS)
- Published
- 2025-06-03
- Volume
- 20
- Issue
- 6
- Pages
- e0324312
- ISSN
- 1932-6203
- PMC
- PMC12132934
- Cited by
- 11
- References
- 6
- Language
- en
- Funders
- Air Force Office of Research (FA9550-18-1-0455)
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