Auditory Feedback for Enhanced Sense of Agency in Shared Control.

Tomoya Morita, Yaonan Zhu, Tadayoshi Aoyama, Masaru Takeuchi, Kento Yamamoto, Yasuhisa Hasegawa

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing 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

1 citing paper in PubMed.

Agency-preserving robotic assistance for grasp slip recovery in body-powered prostheses.Frontiers in robotics and AI · 2025
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

6 authors.

Tomoya MoritaDepartment of Micro-Nano Mechanical Science and Engineering, Nagoya University, Nagoya 464-8601, Japan.ORCID 0000-0003-4332-9140

Yaonan ZhuDepartment of Micro-Nano Mechanical Science and Engineering, Nagoya University, Nagoya 464-8601, Japan.ORCID 0000-0002-2806-014X

Tadayoshi AoyamaDepartment of Micro-Nano Mechanical Science and Engineering, Nagoya University, Nagoya 464-8601, Japan.ORCID 0000-0001-7860-0725

Masaru TakeuchiDepartment of Micro-Nano Mechanical Science and Engineering, Nagoya University, Nagoya 464-8601, Japan.ORCID 0000-0001-9304-4667

Kento YamamotoDepartment of Micro-Nano Mechanical Science and Engineering, Nagoya University, Nagoya 464-8601, Japan.ORCID 0000-0002-9786-9890

Yasuhisa HasegawaDepartment of Micro-Nano Mechanical Science and Engineering, Nagoya University, Nagoya 464-8601, Japan.ORCID 0000-0001-9917-098X

Funding

Japan Science and Technology Agency JPMJCR20G8

6 · The paper itself

Abstract

There is a growing need for robots that can be remotely controlled to perform tasks of one's own choice. However, the SoA (Sense of Agency: the sense of recognizing that the motion of an observed object is caused by oneself) is reduced because the subject of the robot motion is identified as external due to shared control. To address this issue, we aimed to suppress the decline in SoA by presenting auditory feedback that aims to blur the distinction between self and others. We performed the tracking task in a virtual environment under four different auditory feedback conditions, with varying levels of automation to manipulate the virtual robot gripper. Experimental results showed that the proposed auditory feedback suppressed the decrease in the SoA at a medium level of automation. It is suggested that our proposed auditory feedback could blur the distinction between self and others, and that the operator attributes the subject of the motion of the manipulated object to himself.

Indexed as

Feedback, SensoryMovementFeedbackMotionauditory feedbackrobotic teleoperationsense of agency

Identifiers

PMID36560147

DOI10.3390/s22249779

PMCPMC9787405

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.