Evidence map›Paper›PMID 42741413›Full record

ArticleDIS. Designing Interactive Systems (Conference)2025

Robot Characters for Innovative Medical Eye Exams in Kids.

Ilkyaz Sarimehmetoglu, Jeffrey Qiu, Pariyamon Thaprawat, Genggeng Zhou, Nita Valikodath, Mark Draelos, Patricia Alves-Oliveira

Abstract read
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In one paragraph

Article in DIS. Designing Interactive Systems (Conference), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Ilkyaz SarimehmetogluTaubman College, University of Michigan, Ann Arbor, US.
Jeffrey QiuInformation, University of Michigan, Ann Arbor, US.
Pariyamon ThaprawatMicrobiology & Immunology, University of Michigan, Ann Arbor, US.
Genggeng ZhouRobotics, University of Michigan, Ann Arbor, US.
Nita ValikodathOphthalmology, University of Michigan, Ann Arbor, US.
Mark DraelosRobotics & Ophthalmology, University of Michigan, Ann Arbor, US.
Patricia Alves-OliveiraRobotics, University of Michigan, Ann Arbor, US.

Funding

Robotic Point-of-Care OCTR00EY034200 · NEI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DRAELOS, MARK · 2023 to 2025
$747k
NEI NIH HHS R00 EY034200
6 · The paper itself

Abstract

We contribute to new design directions towards robots that can socially engage with pediatric patients while imaging their eyes reliably. Eye imaging is essential to diagnose and manage ocular diseases, but practically impossible to conduct due to children's fear and aversion during the exam. Pediatric patients frequently require an exam under anesthesia, adding significant medical risk, stress, delay, and cost of care. We explored the design space of character design for an eye-imaging robot system to make eye exams more fun for children. Using contextual inquiry, we collected needs from stakeholders around eye exams, leading to the understanding of pain points. We then conducted design explorations of robot characters that could mitigate negative effects while amplifying moments of fun for pediatric patients. We built two low-fidelity robot characters and showed them to stakeholders. Our research highlights the need for these approachable characters to realize eye exams in pediatric patients with engagement.

Indexed as

design researchHuman-centered computing~Interaction devicesHuman-robot interactionmedical roboticspediatric patients

Identifiers

PMID42741413
PMCPMC13573766

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.