Evidence map›Paper›PMID 33486634›Full record

ReviewAnimal cognition2021

Human-dog relationships as a working framework for exploring human-robot attachment: a multidisciplinary review.

Frank Krueger, Kelsey C Mitchell, Gopikrishna Deshpande, Jeffrey S Katz

Abstract readReview
In one paragraph

Review in Animal cognition, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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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

4 authors.

Frank KruegerSchool of Systems Biology, George Mason University, Fairfax, VA, USA. fkrueger@gmu.edu.ORCID http://orcid.org/0000-0003-3420-2463
Kelsey C MitchellSchool of Systems Biology, George Mason University, Fairfax, VA, USA.
Gopikrishna DeshpandeDepartment of Electrical and Computer Engineering, AU MRI Research Center, Auburn University, Auburn, AL, USA.
Jeffrey S KatzDepartment of Electrical and Computer Engineering, AU MRI Research Center, Auburn University, Auburn, AL, USA.

Funding

Defense Advanced Research Projects Agency W911QX-13-C-0123Minerva FA9550-18-1-0455
6 · The paper itself

Abstract

Robotic agents will be life-long companions of humans in the foreseeable future. To achieve such successful relationships, people will likely attribute emotions and personality, assign social competencies, and develop a long-lasting attachment to robots. However, without a clear theoretical framework-building on biological, psychological, and technological knowledge-current societal demands for establishing successful human-robot attachment (HRA) as a new form of inter-species interactions might fail. The study of evolutionarily adaptive animal behavior (i.e., ethology) suggests that human-animal behaviors can be considered as a plausible solution in designing and building models of ethorobots-including modeling the inter-species bond between domesticated animals and humans. Evidence shows that people assign emotional feelings and personality characteristics to animal species leading to cooperation and communication-crucial for designing social robots such as companion robots. Because dogs have excellent social skills with humans, current research applies human-dog relationships as a template to understand HRA. Our goal of this article is twofold. First, we overview the research on how human-dog interactions are implemented as prototypes of non-human social companions in HRA. Second, we review research about attitudes that humans have for interacting with robotic dogs based on their appearance and behavior, the implications for forming attachments, and human-animal interactions in the rising sphere of robot-assisted therapy. The rationale for this review is to provide a new perspective to facilitate future research among biologists, psychologists, and engineers-contributing to the creation of innovative research practices for studying social behaviors and its implications for society addressing HRA.

Indexed as

RoboticsAdaptation, PsychologicalAnimalsBehavior, AnimalDogsEmotionsHumansSocial BehaviorAIBOAttachmentDogEthoroboticsSocial roboticsUncanny valley

Identifiers

PMID33486634
PMCPMC7826496

What OpenQuestion holds

Textmetadata
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.