Evidence map›Paper›PMID 35002899›Full record

ArticleFrontiers in psychology2021

"Mine Works Better": Examining the Influence of Embodiment in Virtual Reality on the Sense of Agency During a Binary Motor Imagery Task With a Brain-Computer Interface.

Hamzah Ziadeh, David Gulyas, Louise Dørr Nielsen, Steffen Lehmann, Thomas Bendix Nielsen, Thomas Kim Kroman Kjeldsen, Bastian Ilsø Hougaard, Mads Jochumsen, Hendrik Knoche

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

11 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
  2. Article
  3. Brain-Computer Interfaces for Stroke Motor Rehabilitation.Bioengineering (Basel, Switzerland) · 2025
    Review
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  5. Article
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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

9 authors at 1 institution in 1 country.

Hamzah ZiadehHuman Machine Interaction Lab, Department of Architecture, Design, and Media Technology, Institute for Architecture and Media Technology, Aalborg University, Aalborg, Denmark.
David GulyasHuman Machine Interaction Lab, Department of Architecture, Design, and Media Technology, Institute for Architecture and Media Technology, Aalborg University, Aalborg, Denmark.
Louise Dørr NielsenHuman Machine Interaction Lab, Department of Architecture, Design, and Media Technology, Institute for Architecture and Media Technology, Aalborg University, Aalborg, Denmark.
Steffen LehmannHuman Machine Interaction Lab, Department of Architecture, Design, and Media Technology, Institute for Architecture and Media Technology, Aalborg University, Aalborg, Denmark.
Thomas Bendix NielsenHuman Machine Interaction Lab, Department of Architecture, Design, and Media Technology, Institute for Architecture and Media Technology, Aalborg University, Aalborg, Denmark.
Thomas Kim Kroman KjeldsenHuman Machine Interaction Lab, Department of Architecture, Design, and Media Technology, Institute for Architecture and Media Technology, Aalborg University, Aalborg, Denmark.
Bastian Ilsø HougaardHuman Machine Interaction Lab, Department of Architecture, Design, and Media Technology, Institute for Architecture and Media Technology, Aalborg University, Aalborg, Denmark.
Mads JochumsenDepartment of Health Science and Technology, Aalborg University, Aalborg, Denmark.
Hendrik KnocheHuman Machine Interaction Lab, Department of Architecture, Design, and Media Technology, Institute for Architecture and Media Technology, Aalborg University, Aalborg, Denmark.
Aalborg University · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Motor imagery-based brain-computer interfaces (MI-BCI) have been proposed as a means for stroke rehabilitation, which combined with virtual reality allows for introducing game-based interactions into rehabilitation. However, the control of the MI-BCI may be difficult to obtain and users may face poor performance which frustrates them and potentially affects their motivation to use the technology. Decreases in motivation could be reduced by increasing the users' sense of agency over the system. The aim of this study was to understand whether embodiment (ownership) of a hand depicted in virtual reality can enhance the sense of agency to reduce frustration in an MI-BCI task. Twenty-two healthy participants participated in a within-subject study where their sense of agency was compared in two different embodiment experiences: 1) avatar hand (with body), or 2) abstract blocks. Both representations closed with a similar motion for spatial congruency and popped a balloon as a result. The hand/blocks were controlled through an online MI-BCI. Each condition consisted of 30 trials of MI-activation of the avatar hand/blocks. After each condition a questionnaire probed the participants' sense of agency, ownership, and frustration. Afterwards, a semi-structured interview was performed where the participants elaborated on their ratings. Both conditions supported similar levels of MI-BCI performance. A significant correlation between ownership and agency was observed (

Indexed as

agencybrain-computer interface (BCI)embodimentfrustrationinteraction paradigmvirtual reality

Identifiers

PMID35002899
PMCPMC8741301
OpenAlexW4200286632

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.