Evidence map›Paper›PMID 42770155›Full record

ArticleCompanion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction. ACM/IEEE Conference on Human-Robot Interaction (2024 : Boulder, Colo.)2024

Accessible Tele-Operation Interfaces for Assistive Robots.

Vinitha Ranganeni, Maya Cakmak

Abstract read
In one paragraph

Article in Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction. ACM/IEEE Conference on Human-Robot Interaction (2024 : Boulder, Colo.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Robots for Humanity: In-Home Deployment of Stretch RE2.Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction. ACM/IEEE Conference on Human-Robot Interaction (2024 : Boulder, Colo.) · 2024
    Article
  3. Accessible Tele-Operation Interfaces for Assistive Robots.Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction. ACM/IEEE Conference on Human-Robot Interaction (2024 : Boulder, Colo.) · 2024
    Article
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

2 authors.

Vinitha RanganeniUniversity of Washington, Seattle, WA, USA.
Maya CakmakUniversity of Washington, Seattle, WA, USA.

Funding

Stretching their Reach: Robotic Support for Older Individuals with Mild Cognitive Impairment, Early Alzheimer's Dementia, and Mobility ImpairmentsR44AG072982 · NIA · HELLO ROBOT INC · PI Aaron Edsinger, WENDY A ROGERS · 2023 to 2026
$3.5M
NRI: Adaptive Teleoperation Interfaces for In-Home Assistive RobotsR01EB034580 · NIBIB · UNIVERSITY OF WASHINGTON · PI CAKMAK, MAYA · 2023 to 2025
$428k
NIA NIH HHS R44 AG072982NIBIB NIH HHS R01 EB034580
6 · The paper itself

Abstract

Robots have the potential to assist individuals with motor impairments and their caregivers. While tele-operation proves effective for in-home assistance, existing interfaces often lack accessibility for users with diverse motor impairments. We present a web-based tele-operation interface compatible with various assistive input devices, catering to a wide range of users. Emphasizing customization, we introduce a highly customizable web-based tele-operation interface for the Stretch RE2, ensuring adaptability to unique physical abilities and user preferences. Additionally, a mobile version extends support for remote caregiving. We propose a demonstration of both the web and mobile tele-operation interfaces.

Indexed as

assistive robotshuman-robot interactiontele-operationuser interfaces

Identifiers

PMID42770155
PMCPMC13593348

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.