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Designing Prosthetic Memory: Audio or Transcript, That is the Question

Designing Prosthetic Memory: Audio or Transcript, That is the Question

Presentation given at AVI 2018, International Working Conference on Advanced Visual Interfaces, Grosseto, Italy.

ABSTRACT: Audio recordings and the corresponding transcripts are often used as prosthetic memory (PM) after meetings and lectures. While current research is mainly developing novel features for prosthetic memory, less is known on how and why audio recordings and transcripts are used. We investigate how users interact with audio and transcripts as prosthetic memory, whether interaction strategies change over time, and analyse potential differences in accuracy and efficiency. In contrast to the subjective user perception, our results show that audio recordings and transcripts are equally efficient, but that transcripts are generally preferred due to their easily accessible contextual information. We further identified that prosthetic memory is not only used as a recall aid but frequently also consulted for verifying information that has been recalled from organic memory (OM). Our findings are summarised in a number of design implications for prosthetic memory solutions.

Research paper: https://beatsigner.com/publications/designing-prosthetic-memory-audio-or-transcript-that-is-the-question.pdf

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May 30, 2018
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  1. 2 December 2005
    Designing Prosthetic Memory:
    Audio or Transcript, That is the Question
    Sandra Trullemans, Payam Ebrahimi and Beat Signer
    Web & Information Systems Engineering Lab
    Department of Computer Science
    Vrije Universiteit Brussel
    WEB & INFORMATION
    SYSTEMS ENGINEERING

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  2. Payam Ebrahimi - Department of Computer Science - [email protected] 2
    May 30, 2018

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  3. Payam Ebrahimi - Department of Computer Science - [email protected] 3
    May 30, 2018
    Cross-Indexed Prosthetic Memory
    ChittyChatty
    Kalnikaité et al. 2007
    Ferret browser
    Wellner et al. 2004
    Use Digital Prosthetic Memory
    a Kalnikaitė
    eld University
    , Sheffield, S1 4DP, UK.
    [email protected]
    Steve Whittaker
    Sheffield University
    211 Portobello St, Sheffield, S1 4DP, UK.
    [email protected]
    orable and important moments, as
    f information. The last few years
    on of digital devices intended to
    ory (PM), to help users recall
    ons and retrieve personal
    theless have little systematic
    nd why people might use such
    heir own organic memory (OM).
    , it may be more efficient than
    om a complex PM device. We
    udy which investigates when and
    d OM. We found that PM use
    tion of the quality of their OM, as
    rties. In particular, we found that
    and Efficiency, preferring rapid
    curate information over laborious
    ation. We discuss the implications
    e PM design and theory. Rather
    e PM designs need to focus on
    work in synergy.
    mory, Digital Memory, Speech
    al, Notes, Remembering.
    words
    ces and presentation (e.g., HCI):
    In his oft-cited vision of the future, Vannevar Bush [2]
    proposed Memex, a tool designed to help users remember
    and index information they have previously encountered. In
    the last 15 years this vision has become a reality.
    Reductions in the cost of digital storage and the emergence
    of sophisticated recording technologies have led to the
    development of many different PM systems. One type of
    Fig 1. ChittyChatty Graphical User Interface
    Livescribe 3

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  4. Payam Ebrahimi - Department of Computer Science - [email protected] 4
    May 30, 2018
    RQ1: Is there a difference in the way
    users interact with notes, transcripts and
    audio recordings and do the interaction
    strategies change when time elapses?

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  5. Payam Ebrahimi - Department of Computer Science - [email protected] 5
    May 30, 2018
    RQ2: Is there a difference in accuracy and
    efficiency between audio and transcript PM?

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  6. Payam Ebrahimi - Department of Computer Science - [email protected] 6
    May 30, 2018
    RQ3: Do factors such as confidence
    influence the way users interact with PM?

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  7. Payam Ebrahimi - Department of Computer Science - [email protected] 7
    May 30, 2018
    Case 1 - Audio Only

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  8. Payam Ebrahimi - Department of Computer Science - [email protected] 8
    May 30, 2018
    Case 2 - Transcript Only

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  9. Payam Ebrahimi - Department of Computer Science - [email protected] 9
    May 30, 2018
    Procedure

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  10. Payam Ebrahimi - Department of Computer Science - [email protected] 10
    May 30, 2018
    Procedure - Phases
    Phase 1
    Phase 2
    Open
    Interview

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  11. Payam Ebrahimi - Department of Computer Science - [email protected] 11
    May 30, 2018
    RQ1: Is there a difference in the way
    users interact with notes, transcripts and
    audio recordings and do the interaction
    strategies change when time elapses?

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  12. Payam Ebrahimi - Department of Computer Science - [email protected] 12
    May 30, 2018
    Overall Usage
    0
    20
    40
    60
    80
    100
    0 7 30
    Likelihood of Usage (%)
    Time Interval (days)
    OM Notes Audio
    0
    20
    40
    60
    80
    100
    0 7 30
    Likelihood of Usage (%)
    Time Interval (days)
    OM Notes Transcript
    Audio Only Transcript Only

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  13. Payam Ebrahimi - Department of Computer Science - [email protected] 13
    May 30, 2018
    Overall Usage
    0
    20
    40
    60
    80
    100
    0 7 30
    Likelihood of Usage (%)
    Time Interval (days)
    OM Notes Audio Transcript
    Audio and Transcript Combined

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  14. Payam Ebrahimi - Department of Computer Science - [email protected] 14
    May 30, 2018
    0
    20
    40
    60
    80
    100
    0 7 30 0 7 30
    Time Interval (days) Time Interval (days)
    Likelihood of Usage (%)
    Transcript
    Navigation
    Skimming
    Audio
    Different Ways of Interacting with PM
    Audio Only Transcript Only

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  15. Payam Ebrahimi - Department of Computer Science - [email protected] 15
    May 30, 2018
    Different Purposes of PM Use
    0
    20
    40
    60
    80
    100
    0 7 30 0 7 30
    Time Interval (days) Time Interval (days)
    Likelihood of Usage (%)
    Transcript
    Recall
    Verifying
    Audio
    Audio Only Transcript Only

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  16. Payam Ebrahimi - Department of Computer Science - [email protected] 16
    May 30, 2018
    RQ2: Is there a difference in accuracy and
    efficiency between audio and transcript PM?

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  17. Payam Ebrahimi - Department of Computer Science - [email protected] 17
    May 30, 2018
    Accuracy
    ▪ No significant difference between audio and transcript in
    accuracy
    ▪ Accuracy does not change over time intervals
    ▪ Choice of interaction has no impact on accuracy

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  18. Payam Ebrahimi - Department of Computer Science - [email protected] 18
    May 30, 2018
    Efficiency
    0
    20
    40
    60
    80
    100
    120
    140
    0 7 30
    Efficiency (s)
    Time Interval (days)
    Transcript Navigating Transcript Skimming
    Audio Navigating Audio Skimming

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  19. Payam Ebrahimi - Department of Computer Science - [email protected] 19
    May 30, 2018
    RQ3: Do factors such as confidence
    influence the way users interact with PM?

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  20. Payam Ebrahimi - Department of Computer Science - [email protected] 20
    May 30, 2018
    Confidence Influence on Interactions

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  21. Payam Ebrahimi - Department of Computer Science - [email protected] 21
    May 30, 2018
    Design Implications
    Co-indexing PMs Efficiency and Accuracy Recall and Verification

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  22. Payam Ebrahimi - Department of Computer Science - [email protected] 22
    May 30, 2018
    Conclusion
    ▪ Investigated the overall usage of audio and transcript PM
    ▪ Audio PM is not less efficient than transcript PM
    ▪ Three design implications
    ▪ Designing for individual or combined audio and transcript
    ▪ PM is not only chosen based on efficiency and accuracy
    ▪ Designing for recall and verification

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