Cited by 57Cognitive Functions and MemoryMemory Processes and InfluencesCognitive Abilities and Testing

Memory and Technology: How We Use Information in the Brain and the World

Finley, Jason R., Naaz, Farah, Goh, Francine W.·2018·Springer eBooks

Integrity signals

Registry

Crossref · 10.1007/978-3-319-99169-6

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Autobiographical remembering in the digital age is the result of the iterative process of combining information stored in the mind and information stored in the environment using high-tech devices and applications.

    “The model views autobiographical remembering in the digital age as the result of the iterative process of combining information stored in the mind and information stored in the environment using high-tech applications.”

    From Understanding Autobiographical Memory in the Digital Age: The AMEDIA-Model (2024) · cites this paper as Finley et al., 2018

  • The taxonomy proposed by Finley et al. (2018) distinguishes between social, low-tech and high-tech external resources.

    “In doing so, we follow the taxonomy proposed by Finley et al. (2018) who suggest to distinguish between social, low-tech and high-tech external resources (for a different taxonomy, see Sutton, 2015).”

    From Understanding Autobiographical Memory in the Digital Age: The AMEDIA-Model (2024) · cites this paper as Finley et al., 2018

  • Internal autobiographical memories are stored in the mind, which is bound to the human cognitive, biological, and neural structure, while high-tech external resources rely on the data formats and processing characteristics of digital tools, and this goes hand in hand with certain strengths and weaknesses in each case.

    “Obviously, the fact that internal autobiographical memories are stored in the mind, which is bound to the human cognitive, biological, and neural structure, while high-tech external resources rely on the data formats and processing characteristics of digital tools, goes hand in hand with certain strengths and weaknesses in each case (see Donald, 1991;Finley et al., 2018).”

    From Understanding Autobiographical Memory in the Digital Age: The AMEDIA-Model (2024) · cites this paper as Finley et al., 2018

Cited by

Sorted by citations

Authors
Finley, J. R., Naaz, F., & Goh, F. W.
Affiliations
  • Fontbonne University (US)
  • University of Louisville (US)
  • University of Nebraska–Lincoln (US)
Venue
Springer eBooks
Published
2018
OpenAlex
W4254750861
Cited by
57
References
0
Citations by year
2026: 2 · 2025: 9 · 2024: 10 · 2023: 2 · 2022: 5 · 2021: 8 · 2020: 18 · 2019: 3
FWCI
7.76
Type
book
Language
en
Open access
closed
Locations
Springer eBooks (publishedVersion)
Topics
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Functions and Memory
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Memory Processes and Influences
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
Keywords
external memory, memory, technology, internal memory, external memory aids, theoretical framework, human-computer interaction, cognitive psychology

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review