Evidence map›Paper›PMID 38339693›Full record

ArticleSensors (Basel, Switzerland)2024

Cognitive Effort during Visuospatial Problem Solving in Physical Real World, on Computer Screen, and in Virtual Reality.

Raimundo da Silva Soares, Kevin L Ramirez-Chavez, Altona Tufanoglu, Candida Barreto, João Ricardo Sato, Hasan Ayaz

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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.

Raimundo da Silva SoaresSchool of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA 19104, USA.ORCID 0000-0002-2109-673X
Kevin L Ramirez-ChavezSchool of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA 19104, USA.ORCID 0009-0001-1746-9847
Altona TufanogluSchool of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA 19104, USA.
Candida BarretoSchool of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA 19104, USA.
João Ricardo SatoCenter of Mathematics Computation and Cognition, Universidade Federal do ABC, São Bernardo do Campo 09606-405, Brazil.
Hasan AyazSchool of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA 19104, USA.ORCID 0000-0001-5514-2741

Funding

Fulbright US-BR and Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) Finance Code 001São Paulo Research Foundation 2018/21934-5, 2018/04654-9, 2023/13418-5, and 2019/17907-5
6 · The paper itself

Abstract

Spatial cognition plays a crucial role in academic achievement, particularly in science, technology, engineering, and mathematics (STEM) domains. Immersive virtual environments (VRs) have the growing potential to reduce cognitive load and improve spatial reasoning. However, traditional methods struggle to assess the mental effort required for visuospatial processes due to the difficulty in verbalizing actions and other limitations in self-reported evaluations. In this neuroergonomics study, we aimed to capture the neural activity associated with cognitive workload during visuospatial tasks and evaluate the impact of the visualization medium on visuospatial task performance. We utilized functional near-infrared spectroscopy (fNIRS) wearable neuroimaging to assess cognitive effort during spatial-reasoning-based problem-solving and compared a VR, a computer screen, and a physical real-world task presentation. Our results reveal a higher neural efficiency in the prefrontal cortex (PFC) during 3D geometry puzzles in VR settings compared to the settings in the physical world and on the computer screen. VR appears to reduce the visuospatial task load by facilitating spatial visualization and providing visual cues. This makes it a valuable tool for spatial cognition training, especially for beginners. Additionally, our multimodal approach allows for progressively increasing task complexity, maintaining a challenge throughout training. This study underscores the potential of VR in developing spatial skills and highlights the value of comparing brain data and human interaction across different training settings.

Indexed as

Problem SolvingVirtual RealityBrainCognitionHumansPrefrontal Cortexcognitive workloadfNIRSgeometry puzzleneuroergonomicsspatial cognitiontangramvirtual reality

Identifiers

PMID38339693
PMCPMC10857420

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.