Evidence map›Paper›PMID 41200009›Full record

ArticleRO-MAN ... : the ... IEEE International Symposium on Robot and Human Interactive Communication : proceedings. IEEE International Symposium on Robot and Human Interactive Communication2025

Attitudes towards Humanoid Robots for In-Home Assistance.

Basia Radka, Evolone Layne, Maya Cakmak

Abstract read
In one paragraph

Article in RO-MAN ... : the ... IEEE International Symposium on Robot and Human Interactive Communication : proceedings. IEEE International Symposium on Robot and Human Interactive Communication, 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

3 authors.

Basia RadkaPaul G. Allen School of Computer Science & Engineering, University of Washington, Seattle, WA, USA.
Evolone LaynePaul G. Allen School of Computer Science & Engineering, University of Washington, Seattle, WA, USA.
Maya CakmakPaul G. Allen School of Computer Science & Engineering, University of Washington, Seattle, WA, USA.

Funding

NRI: Adaptive Teleoperation Interfaces for In-Home Assistive RobotsR01EB034580 · NIBIB · UNIVERSITY OF WASHINGTON · PI CAKMAK, MAYA · 2023 to 2025
$428k
NIBIB NIH HHS R01 EB034580
6 · The paper itself

Abstract

Humanoid robots are the latest bet of the robotics community in advancing ways robots carry out a large variety of tasks that generate profit or increase quality of life for people. While their capabilities might extend to assistive care tasks, such as feeding, dressing, or household tasks, it is unclear if people are comfortable with having humanoid robots in their homes assisting with those tasks. In this paper we explore people's attitudes towards assistive humanoid robots in the the home. We present two questionnaire studies, with 76 total participants, in which people are shown imaginary images of humanoid robots performing assistance tasks in the home, along with special purpose robot alternatives. Participants are asked to rate and compare robots in the context of eight different tasks and share their reasoning. The second study also shows participants pictures of real humanoid robot both without any context and in the context of in-home assistance tasks, and asks their opinions about these robots. Our findings indicate that people prefer special purpose robots over humanoids in most cases and their preferences vary by task. Although people think that humanoids are acceptable for assistance with some tasks, they express concerns about having them in their homes.

Identifiers

PMID41200009
PMCPMC12588097

What OpenQuestion holds

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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.