Evidence map›Paper›PMID 35847650›Full record

ArticleFrontiers in veterinary science2022

Welfare Through Competence: A Framework for Animal-Centric Technology Design.

Sarah Webber, Mia L Cobb, Jon Coe

Open access · goldAbstract read
In one paragraph

Article in Frontiers in veterinary science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
8.6field-weighted citation impact, top 1% of its field
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

16 citing papers in PubMed, 40 citations in OpenAlex.

  1. Review
  2. AI Ethics Guidelines: Time to Include Animals.Science and engineering ethics · 2026
    Article
  3. Article
  4. Article
  5. Linking Personality and Performance in California Sea Lions (Animals : an open access journal from MDPI · 2025
    Article
  6. Review
  7. Animal Welfare, Agency, and Animal-Computer Interaction.Animals : an open access journal from MDPI · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Behavioral Welfare Research for the Management of Sanctuary Chimpanzees (Animals : an open access journal from MDPI · 2023
    Article
  14. Review
  15. Review
  16. 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

3 authors at 1 institution in 1 country.

Sarah WebberFaculty of Engineering and Information Technology, School of Computing and Information Systems, The University of Melbourne, Parkville, VIC, Australia.
Mia L CobbFaculty of Engineering and Information Technology, School of Computing and Information Systems, The University of Melbourne, Parkville, VIC, Australia.
Jon CoeJon Coe Design, Healesville, VIC, Australia.
University of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital technologies offer new ways to ensure that animals can lead a good life in managed settings. As interactive enrichment and smart environments appear in zoos, farms, shelters, kennels and vet facilities, it is essential that the design of such technologies be guided by clear, scientifically-grounded understandings of what animals need and want, to be successful in improving their wellbeing. The field of Animal-Computer Interaction proposes that this can be achieved by centering animals as stakeholders in technology design, but there remains a need for robust methods to support interdisciplinary teams in placing animals' interests at the heart of design projects. Responding to this gap, we present the Welfare through Competence framework, which is grounded in contemporary animal welfare science, established technology design practices and applied expertise in animal-centered design. The framework brings together the "Five Domains of Animal Welfare" model and the "Coe Individual Competence" model, and provides a structured approach to defining animal-centric objectives and refining them through the course of a design project. In this paper, we demonstrate how design teams can use this framework to promote positive animal welfare in a range of managed settings. These much-needed methodological advances contribute a new theoretical foundation to debates around the possibility of animal-centered design, and offer a practical agenda for creating technologies that support a good life for animals.

Indexed as

animal-centric designanimal-computer interactionanimalsanimal technologyanimal welfaredigital enrichmentinteraction design

Identifiers

PMID35847650
PMCPMC9280685
OpenAlexW4283755527

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.