The Effect of Augmented Reality on Involuntary Autobiographical Memory

Honorable Mention
Human Pose & Activity RecognitionAR Navigation & Context Awareness

Research Background and Problem

  • Identified Issues or Challenges:
    The authors identified a research gap regarding the impact of augmented reality (AR) on human cognition, particularly on involuntary autobiographical memory (IAM). IAM refers to spontaneous memories triggered by external or internal cues, but there is limited research on this topic in the fields of psychology and human-computer interaction. While technologies like AR are becoming mainstream, whether AR enhances the frequency of memory occurrences has not been systematically validated.

  • Significance:
    If AR indeed increases the frequency of IAM, its impact could extend across multiple domains. For instance, it could be used in marketing and product demonstrations to enhance consumer memory of advertisements, as well as in education and behavioral interventions. However, the potential negative implications, such as "memory manipulation," warrant ethical considerations.

  • Research Motivation and Related Work:
    Psychological research has explored the foundations of autobiographical memory, but these studies primarily focus on voluntary memory (VAM). In contrast, IAM research presents unique challenges due to its spontaneous nature. Existing AR memory enhancement studies mainly focus on improving short-term or voluntary memory, such as through educational materials or "memory palace" techniques. This study addresses the unexplored area of AR's impact on IAM.

Solution

  • Proposed Method:
    The authors designed two experiments to test whether AR could increase the frequency of IAM occurrences. Experiment 1 examined the effects of AR versus traditional 3D displays on IAM, while Experiment 2 replicated Experiment 1 with an optimized design to improve data quality.

  • Innovative Contributions:
    This study is the first to integrate psychology and human-computer interaction, employing both laboratory testing and diary tracking methods to explore AR's potential effects. It not only introduces a new experimental paradigm but also validates theoretical hypotheses and provides comprehensive replication materials for future research.

  • Implementation Steps:

    1. Visual Task: Participants scanned QR codes in the lab and observed 3D objects via AR or non-AR methods, answering related questions.
    2. Audio Task: Participants returned to the experimental environment, performed auditory tasks, and reported any IAM occurrences.
    3. Diary Task: Following the lab experiments, participants recorded IAM occurrences in their daily lives over a period of time.
    4. Data Analysis: Bayesian hierarchical Poisson regression models were used to evaluate the IAM occurrence rates under different technological conditions (AR vs. non-AR).

Research Findings

  • Key Findings:
    In the laboratory setting, AR significantly increased the occurrence of IAM, doubling the frequency compared to traditional displays. In the diary task, AR's effect diminished or disappeared due to reduced exposure to external cues and the influence of time delay.

  • Advantages Over Existing Solutions:
    Compared to traditional display technologies, AR enhances memory recall by embedding richer contextual cues, thereby strengthening the association with virtual content. From an experimental design perspective, the study integrates cognitive theories from psychology with HCI experimental methods, balancing control and ecological validity.

  • Experimental or Evaluation Results:

    • Experiment 1 (Laboratory Component): Bayesian regression analysis showed that the IAM occurrence rate in AR environments was 2.3 times higher than in non-AR environments.
    • Experiment 2 (Laboratory Component): With the adjusted experimental design, the frequency of reported IAM increased to 36%, further reinforcing evidence of AR's enhancement effect on IAM (approximately 2.5 times higher occurrence rate).
    • Diary Component: Results were less conclusive due to rapid cue and memory decay, making it difficult to draw consistent conclusions.
  • Limitations and Future Directions:

    1. Limitations:

      • The high level of control in the laboratory environment may limit the generalizability of results to real-world settings.
      • Natural cue exposure was limited in the diary task, resulting in fewer IAM occurrences and restricting the study's ability to assess long-term effects.
      • Sample size constraints and unpaid participation may have affected the generalizability of the findings.
    2. Future Directions:

      • Test a wider variety of stimuli (e.g., emotionally intense or highly personalized objects).
      • Investigate IAM changes in voluntary encoding contexts, such as education or behavioral interventions.
      • Improve delayed cue exposure conditions, such as through long-term or timed cue-triggering methods.
      • Compare other AR technologies (e.g., head-mounted displays) to validate the effects of different AR formats on IAM.
      • Incorporate objective measures such as neuroimaging to complement subjective IAM reports.

This study expands the boundaries of memory research in augmented reality environments while raising important ethical and practical considerations for AR applications.

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https://hci.top/en/papers/chi/189190/2025

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DOI: https://dl.acm.org/doi/10.1145/3706598.3713922
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CHI
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2025
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Honorable Mention
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3 authors
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Human Pose & Activity Recognition, AR Navigation & Context Awareness
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