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Record W4382400566 · doi:10.1051/shsconf/202317101003

Extending the Embodied Simulation Hypothesis: Effects of Motor Simulation in the Mind on Memory Retrieval

2023· article· en· W4382400566 on OpenAlexaff
Ruoqi Li, Qingyang Fu, Yunqi Chen

Bibliographic record

VenueSHS Web of Conferences · 2023
Typearticle
Languageen
FieldPsychology
TopicAction Observation and Synchronization
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsEmbodied cognitionRecallEncoding (memory)Cognitive psychologyComputer scienceCognitive sciencePsychologySimulated realityArtificial intelligence

Abstract

fetched live from OpenAlex

The embodied simulation hypothesis of modality-specific areas activation influencing language processing has matured over time. However, whether the idea can be applied to broader aspects other than language processing, such as memory processing, remains to be investigated. In this study, we extend the embodied simulation hypothesis, looking at the effects of motor simulation in mind, specifically handedness, on long-term memory retrieval. To test our hypothesis, we introduce two lists of Chinese characters as materials for memory and use old/new recognition tasks to measure retrieval performance. Our prediction of the results is that interfering with relevant motor systems (dominant hand) involved in memory encoding during retrieval will impair a person’s ability to recall. If our experimental results support our hypothesis, this not only provides strong evidence for the embodied simulation hypothesis but our research may also be applied to the field of memory, providing potential inspiration for memory enhancement.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.621
Threshold uncertainty score0.365

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.087
GPT teacher head0.352
Teacher spread0.265 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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