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Updated: May 8, 2025

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Assessing autobiographical memory consistency: Machine and human approaches.

Victoria Wardell1, Taylyn Jameson1, Peggy L St Jacques2

  • 1Department of Psychology, University of British Columbia, 2136 West Mall, Vancouver, BC, V6 T 1Z4, Canada.

Behavior Research Methods
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Summary
This summary is machine-generated.

Autobiographical memory recall consistency can be measured using manual scoring or natural language processing. Both methods show moderate correlation, but human scorers are more conservative than machines in assessing memory changes over time.

Keywords:
Autobiographical memoryEpisodic memoryMemory accuracyMemory consistencyMemory distortionNarrative data

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Area of Science:

  • Cognitive Psychology
  • Computational Linguistics

Background:

  • Autobiographical memory is dynamic, subject to forgetting, modification, and distortion over time.
  • Understanding memory changes is crucial for personal and public contexts, yet research is hampered by methodological challenges.

Purpose of the Study:

  • To introduce a standardized manual scoring procedure for quantifying autobiographical memory consistency.
  • To review natural language processing (NLP) advancements for analyzing memory narrative changes.
  • To compare the performance of manual and automated approaches in assessing memory consistency.

Main Methods:

  • A standardized manual scoring procedure was developed to quantify narrative autobiographical memory consistency.
  • Natural language processing (NLP) models were reviewed for potential application in memory change analysis.
  • Manual and automated approaches were compared on a dataset of 1,026 memory pairs recalled approximately two months apart.

Main Results:

  • Human and automated approaches for assessing memory consistency showed moderate correlations (r = .21-.46).
  • Human scorers provided conservative measures of consistency, while automated (machine) approaches offered more liberal measures.
  • The study identified differences in how human and machine scoring quantify memory consistency.

Conclusions:

  • Both manual and automated methods have strengths and limitations for analyzing autobiographical memory consistency.
  • Human scoring is recommended when detailed analysis of consistent mnemonic details or causes of inconsistency is the research focus.
  • Future research can leverage both approaches to better understand memory dynamics.