Epistemological approach in immersive virtual environments and the neurophysiology learning process

Cesar R. Salas Guerra

REVIEW 4 major objections 5 minor 41 references

Epistemological approach in immersive virtual environments and the neurophysiology learning process

T0 review · 4 major / 5 minor · reviewed 2026-08-14 · deepseek-v4-flash

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Pith's one-line read The paper proposes that immersive virtual environments can be understood through three linked constructs—incoming stimuli, information management, and cognitive processing—that connect VR design to memory and attention.

desk verdict A well-meaning literature review that overreaches: the proposed variable matrix in §6.2 is the whole model, and its construct equivalences are asserted, not derived. read the letter →

arxiv 1908.05240 v1 pith:DSBZ3UUM submitted 2019-08-04 q-bio.NC cs.HC

Cesar R. Salas Guerra This is my paper · ORCID

classification q-bio.NCcs.HC

keywords immersivevirtualenvironmentsinformationprocessingtheoryKolblearningmodelneurophysiologyofworkingmemoryattentionvisualstimulimanagement

verification ladder T0 review T1 audit T2 compute T3 formal

The pith

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The reading

This paper tries to establish a conceptual bridge between two areas that are usually studied apart: how immersive virtual environments present information, and how the brain's memory and attention systems process that information. It proposes a three-dimensional model—incoming stimuli, information management, and cognitive processing—built by combining information processing theory with Kolb's learning model. If the mapping holds, researchers would have a shared way to talk about which parts of a VR experience engage memory and which engage attention, and could design experiments around measurable indicators for both. The paper itself is a literature review; the model is suggested rather than tested.

What carries the argument

The load-bearing object is the variable matrix in Section 6.2, a small table that maps four entities—the immersive virtual environment, memory, attention, and stimuli—onto two constructs: cognitive processing and information management. Each row carries one supporting citation, so the matrix is what turns the two learning theories into a compact set of equivalence claims that researchers could use to translate between VR design features and neural measures. The surrounding model dimensions are incoming stimuli, information management, and cognitive processing, with Kolb's perception/processing dimensions and information processing theory supplying the structure.

What would settle it

Run an immersive VR experiment with two conditions matched for visual input but differing in working-memory load, record brain waves (EEG) while participants perform an attention-demanding task, and check whether the information-management dimension tracks only the memory manipulation and the cognitive-processing dimension tracks only the attention manipulation. If the two dimensions cross-predict or cannot be separated, the matrix's mappings fail.

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Extended reading notes

Core claim

On its own terms, the paper claims that learning in an immersive virtual environment can be described as a flow of information through three constructs: incoming stimuli, information management, and cognitive processing. It fuses information processing theory—learning through attention, perception, and storage—with Kolb's learning model, which treats perceiving and processing information as the two dimensions of learning. The central move is the variable matrix in Section 6.2, which equates memory with information management (backed by a working-memory and prefrontal-cortex reference) and attention with cognitive processing (backed by attention-network references), and assigns the immersive environment and stimuli to those same two constructs. The intended outcome is an epistemological framework that says what to measure—memory and attention—when studying VR-based learning.

Load-bearing premise

The framework's load-bearing premise is that memory really is information management, and attention really is cognitive processing, as the variable matrix asserts; if either equation is wrong, the model does not stand.

Editorial extensions

If this is right

VR training evaluation could focus on two measurable targets—memory-related information management and attention-related cognitive processing—instead of general usability or satisfaction.
The model predicts that increasing incoming visual stimuli in an immersive environment should engage the information-management pathway, giving a neurophysiological rationale for why richer VR may aid learning.
Researchers can design EEG or behavioral studies that separate working-memory load from attentional load, using the matrix to decide which tasks tap which construct.
Because the framework links Kolb's learning dimensions to neural constructs, it suggests learning-style differences should correspond to measurable differences in attention and memory engagement.
The stated research agenda is to identify indicators for memory and attention in virtual immersion environments; if the model is right, those indicators can be mapped back to the two constructs rather than treated separately.

Reading between the lines

Editorial extensions of the paper, not claims the author makes directly.

Extension: if the matrix works, VR design choices such as visual complexity, feedback timing, or avatar presence become predictions about which construct is loaded, so the model is testable knob-by-knob even though the paper offers no data.
Extension: the paper equates memory with information management; a more cautious version would treat memory as one component of information management, and a test of that distinction would be whether working-memory failure and information-management failure ever dissociate in VR performance.
Extension: although the paper focuses on visual information, the constructs are modality-neutral, so the same matrix could be extended to auditory and haptic VR stimuli without changing the framework.
Extension: a critical test of the model's value would be whether it predicts outcomes that generic cognitive-load measures do not, such as separating memory-based errors from attention-based errors in the same VR task.

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Signed reviews

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Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, and a circularity audit.

Desk Editor's Note

read the letter

The short version: this paper is a literature review plus a proposed conceptual matrix, not an empirical or theoretical result. Its one concrete contribution is the table in Section 6.2, which maps Memory to Information Management, Attention to Cognitive Processing, and Stimuli to Information Management. That table is presented as the model, but the mappings are nothing more than a few citations stapled together. The cited sources do not define or support those equivalences: [22] is an exploratory study of low-performing students, [11] is about event-based prospective memory, [3] is an fMRI study of sustained attention and working memory, and [16] is an animal study of oscillatory encoding. None of them establishes the identity relations the matrix assumes. In that sense the stress-test note is right: the load-bearing core is unsupported.

Give credit where it is due. The paper is honest in its abstract that the relationship between VR stimuli and brain activity “still needs to be established,” and the literature review is organized around identifiable constructs rather than a jumble. The final call for a research agenda—identify indicators for memory and attention in immersive environments—is a sensible direction. But the paper does not deliver even a preliminary version of that agenda; it just labels a set of boxes.

The weaknesses are proportionate to the paper’s ambition. Section 6.1 contains blank space where the dimensions presumably should be described, the text has typos like “he links” and “care” for attention, and there is no data or derivation to test any of the mappings. I don’t see this as a case where hidden depth makes the flaws less important. The central claim is the matrix, and the matrix is a placeholder. If the paper were reframed as purely a narrative literature review with an open research question, it could be a modest teaching resource. As a model, it doesn’t work.

Who gets value from this? Maybe a graduate student looking for a compact summary of Kolb, information processing theory, and some neuroscience references on attention and memory. I would not cite it in my own work. If I were an editor, I would desk-reject this for a mainstream journal because the constructive content is too thin and the key table is unsupported; I would only consider it for a venue explicitly seeking speculative agenda-setting notes, and even then I would require the authors to either remove the matrix or justify it with actual evidence.

Referee Report

4 major / 5 minor

Summary. The paper proposes a theoretical model intended to relate immersive virtual environments (IVEs) to neurophysiological learning processes. It combines information processing theory and Kolb's learning model into three constructs—income stimuli, information management, and cognitive processing—and presents a variable matrix in Section 6.2 that maps IVE, memory, attention, and stimuli to cognitive processing or information management. The abstract and Section 2 state that the relationship between VR stimuli and oscillatory brain activity still needs to be established, and Section 7 frames the contribution as a research agenda. The manuscript is a literature-based conceptual proposal rather than an empirical or formally derived model.

Significance. If the proposed dimensional model were properly supported, it could provide a useful conceptual bridge between VR design and neurophysiological measures of memory and attention. The paper identifies a genuine gap in the literature and is honest in acknowledging that the core relationship remains to be established. It also avoids overfitting or numerical fabrication: no predictive claims are derived from fitted parameters. However, as it stands, the contribution is only an unsupported research agenda; the central model is asserted rather than demonstrated, and the cited evidence does not establish the construct equivalences on which the model rests.

major comments (4)

[§6.2, variable matrix] The variable matrix is the load-bearing component of the proposed model, yet its construct equivalences are unsupported by the cited references. Memory is mapped to information management via Parra-Bolaños et al. [22], attention to cognitive processing via [11] and [3], stimuli to information management via [16], and IVE to cognitive processing via [28]. None of these references defines or establishes the claimed identities: [22] is an exploratory study of attention and memory in low-performing students, [11] is about event-based prospective memory, [3] is an fMRI study of sustained attention and working memory, [16] is a study of oscillatory encoding in mice, and [28] is a collaboration research agenda. The matrix therefore consists of asserted labels rather than a derived or empirically grounded model.
[§2 and §7.1] The paper's own framing undercuts the model claim. Section 2 states that the relationship between stimuli in virtual environments and oscillatory brain activity 'still needs to be established,' and Section 7.1 explicitly describes the contribution as a research agenda. In contrast, Section 6 claims the theoretical framework 'demonstrates an understanding of the constructs and their relation.' These statements are in tension: the central relationship is admitted to be unknown, so the matrix cannot be presented as a demonstrated description. The authors should either clearly label the matrix as a provisional hypothesis with an explicit justification or remove the demonstrative claim.
[§6.1, model dimensions] The model dimensions are not actually presented: the figure that is supposed to show the three dimensions is missing, and no textual definition of the dimensions is given. Without this material, the matrix in Section 6.2 cannot be evaluated. This is not a cosmetic issue, because the dimensions are the core of the proposed model and their definitions would determine whether the matrix mappings are coherent.
[§6 and §7] No formal derivation, empirical data, or analytical argument connects the constructs in the matrix to measurable indicators of memory and attention. The discussion mentions the need to identify indicators, but the paper does not specify them or explain how they would be operationalized. If the manuscript is intended as a research agenda, that should be the explicit and only claim; if it is intended as a substantive model, it is currently undersupported to the point of being unverifiable.

minor comments (5)

[§6.2, table] The table header 'ATN STM Reference' is malformed and the table's row/column organization is unclear; the row labels and the final 'Construct Construct' row need to be reformatted so that the mapping is legible.
[§6.1] The figure referenced for the model dimensions is missing from the manuscript; a placeholder or a detailed figure caption should be provided.
[Throughout] There are multiple typographical errors, including 'OBJETIVES' for 'OBJECTIVES', 'he links' for 'the links', and 'p resumes' for what appears to be 'presumes'; a careful proofreading pass is needed.
[References] Several references are incomplete or inconsistently formatted; for example, [9] lacks journal details and [13] and [27] have incomplete or confusing entries. The references should be standardized to the journal's style.
[§4.2] The citation 'Hoffmann, Agustín Freiberg; Liporace, (2015)' is grammatically incomplete and should be corrected to properly attribute the authors.

Circularity Check

0 steps flagged · score 0.0 of 10

No circularity: the paper proposes a conceptual mapping from literature citations without deriving predictions from fitted inputs or self-cited theorems.

full rationale

The paper is a literature-review and conceptual-model proposal rather than a derivation with fitted parameters or mathematical claims. Its core element, the Section 6.2 variable matrix, maps constructs such as Memory to Information Management and Attention to Cognitive Processing, with each entry supported by a citation (Parra-Bolaños et al., 2017; Grandi & Tirapu-Ustárroz, 2017; Bartés-Serrallonga et al., 2014; Kissinger et al., 2018). These mappings are asserted as part of a suggested model, not derived from the cited sources or from any equations in the paper, so they cannot reduce to their inputs by construction. The paper also frames its contribution as an open research agenda, explicitly stating that the relationship between virtual-environment stimuli and brain oscillatory activity 'still needs to be established' and culminating in a call for future indicators to measure memory and attention. There are no fitted values presented as predictions, no uniqueness theorem imported from the authors' prior work, and no self-citations carrying the argument. Whether the cited references actually support the construct equivalences is a question of evidential support and soundness, not of circularity. Under the required standard of exhibiting a specific reduction of a conclusion to its own inputs, no circular step is present, so the appropriate score is 0.

Assumptions & free parameters 0 free parameters · 4 assumptions · 0 invented entities

The paper is a conceptual review. It introduces no new entities or fitted parameters. Its central model rests on domain assumptions borrowed from prior literature, plus an ad hoc mapping table in Section 6.2 that is not derived from data.

assumptions (4)

domain assumption Information processing theory applies to learning in immersive virtual environments.
Section 4.1 assumes this theory's validity without questioning its application to VIE.
domain assumption Kolb's learning model describes the perception and processing dimensions that transfer to virtual environments.
Section 4.2 applies Kolb's model directly to virtual environments, citing Rodriguez Cepeda and Romero Agudelo, but no empirical validation in this context is given.
domain assumption The cited neural links (prefrontal cortex, working memory, attention networks) are sufficient to support the mapping.
Section 5 relies on secondary references to establish these links.
ad hoc to paper The constructs in the variable matrix correspond to the dimensions of the model.
Section 6.2 maps IVE to Cognitive Processing, Memory to Information Management, etc., without justification beyond a single citation per cell.

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Cite this review

Pith. "Pith review of Epistemological approach in immersive virtual environments and the neurophysiology learning process." pith.science (2026). https://pith.science/paper/DSBZ3UUM

@misc{pith2026190805240,
  author       = {Pith},
  title        = {Pith review of: Epistemological approach in immersive virtual environments and the neurophysiology learning process},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/DSBZ3UUM}},
  note         = {Machine review of arXiv:1908.05240}
}

read the original abstract

Currently virtual reality (VR) usage in training processes is increasing due to their usefulness in the learning processes based on visual information empowered. The information in virtual environments is perceived by sight, sound and touch, but the relationship or impact that these stimuli can have on the oscillatory activity of the brain such as the processing, propagation and synchronization of information still needs to be established in relation to the cognitive load of attention. Therefore, this study seeks to identify the suggested epistemological basis through literature review and current research agendas in the relationship that exists between the immersive virtual environment and the neurophysiology of learning processes by means of the analysis of visual information. The suggested dimensional modeling of this research is composed by the theory of information processing which allows the incorporation of learning through stimuli with the use of attention, perception and storage by means of information management and the Kolb's learning model which defines the perception and processing of information as dimensions of learning. Regarding to the neurophysiology of learning, the literature has established he links between the prefrontal cortex and working memory within the process of information management. The challenges and advances discussed in this research are based in the relationship between the identified constructs (Income Stimuli, Information Management and Cognitive Processing) and the establishment of a research agenda on how to identify the necessary indicators to measure memory and attention in the virtual immersion environments.

Discussion (0). Continue with ORCID to comment.

Reference graph

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Pith tools

Reviewed August 14, 2026 · model on record in the stance chip above.

[1] [22]

Parra-Bolaños, N., Fidel, M., & de la Peña, C. (2017). Atención y Memoria en estudiantes con bajo rendimiento académico. Un estudio exploratorio. Reidocrea, 6(7), 74–

work page 2017

[2] [11]

Andrews Acquah, E. Q. (2017). Using the Information Processing Approach to Explain the Mysteries of the Black Box : Implications for Teaching Religious and Moral Education. Journal of Information Engineering and Applications, 7(7), 1–4

work page 2017

[3] [3]

REVIEW OF LITERATURE AND RESEARCH AGENDAS Within the paradigm that establishes the potential of the virtual reality for revolutionizing education (Andersen et al., 2016) the current research agendas signal the lack of practical elements that solve the use of simulation in education (Jensen & Konradsen, 2018) as an effective method in learning. However, fo...

work page 2018

[4] [16]

C., Polack, P.-O., Tran, D

Einstein, M. C., Polack, P.-O., Tran, D. T., & Golshani, P. (2017). Visua lly Evoked 3 –5 Hz Membrane Potential Oscillations Reduce the Responsiveness of Visual Cortex Neurons in Awake Behaving Mice. The Journal of Neuroscience, 37(20), 5084 –5098. https://doi.org/10.1523/jneurosci.3868-16.2017

work page doi:10.1523/jneurosci.3868-16.2017 2017

[5] [28]

O., de Vreede, G.-J., de Vreede, T., Druckenmiller, D., … Söllner, M

Seeber, I., Bittner, E., Briggs, R. O., de Vreede, G.-J., de Vreede, T., Druckenmiller, D., … Söllner, M. (2018). Machines as Teammates: A Collaboration Research Agenda. Proceedings of the 51st Hawaii International Conference on System Sciences, 9, 420 –429. https://doi.org/10.24251/hicss.2018.055

work page doi:10.24251/hicss.2018.055 2018

[6] [1]

INTRODUCTION Currently augmented reality (AR) and virtual reality (VR) usage in consumer-oriented technologies (Bonetti, Warnaby, & Quinn, 2018) and training processes (Andersen, Mikkelsen, Konge, Cayé-Thomasen, & Sørensen, 2016) is increasing due to their usefulness for learning processes based on visual information empowered by its communication and inf...

work page 2018

[7] [2]

RESEARCH OBJETIVES The information in virtual environments is perceived by sight, sound and touch, but the relationship or impact that these stimuli can have on the oscillatory activity of the brain such as the processing, propagation and synchronization of information (Kissinger, Pak, Tang, Masmanidis, & Chubykin, 2018) still needs to be established in r...

work page 2018

[8] [4]

This allows the functioning of memory through the gradual increase of the information processing capacities in the development of skills for obtaining knowledge

THEORETICAL BIAS 4.1 Information Processing Theory The theory of information processing allows the incorporation of learning through stimuli with the use of attention, perception and storage (Moos, 2015) by means of information management. This allows the functioning of memory through the gradual increase of the information processing capacities in the de...

work page 2015