Paracentral and near-peripheral visualizations: Towards attention-maintaining secondary information presentation on OHMDs during in-person social interactions

Honorable Mention
Mixed Reality WorkspacesContext-Aware Computing

Title of the Paper

Paracentral and Near-Peripheral Visualizations: Towards Attention-Maintaining Secondary Information Presentation on OHMDs During In-Person Social Interactions

Paper Information

  • Research Area: Human-Computer Interaction, Information Visualization Design for Optical See-Through Head-Mounted Displays (OHMDs)
  • Keywords: Paracentral, Near-peripheral, Social Interaction, Face-to-Face Communication, Circular Progress Bar, Notifications, Interruptions, HMD, Smart Glasses

Research Background and Problem

  • Issues and Challenges:

    • Optical see-through head-mounted displays (OHMDs) provide real-time information support but may distract users from primary tasks such as face-to-face interactions.
    • Current notification systems can reduce the quality of social interactions, such as diminishing eye contact.
    • How to display secondary information in social contexts without interfering with primary tasks (e.g., facial visual attention) remains an unresolved issue.
  • Significance:

    • In an increasing number of social and work scenarios, users need to handle multiple sources of information simultaneously without disrupting primary tasks.
    • Leveraging the characteristics of the human "paracentral" and "near-peripheral" visual regions may offer an innovative solution to minimize interference with core attention areas.
  • Research Motivation and Related Work:

    • Previous studies have proposed using peripheral vision to allocate secondary information and reduce the load on central visual areas.
    • However, while mid-to-far peripheral vision excels at motion detection, its ability to discern details is limited. This necessitates exploring the potential of "paracentral" and "near-peripheral" regions.
    • This paper designs a "circular progress bar" interface for OHMDs to display information in these underexplored visual regions.

Solution

  • Proposed Method:

    • Designed and compared three progress notification display methods: "circular progress bar," "linear progress bar," and "text label," to study their effects on user attention and secondary information reception.
    • Envisioned the use of these three information representations in paracentral and near-peripheral visual regions.
  • Innovations:

    • Proposed utilizing the human paracentral and near-peripheral visual regions to display secondary information, enabling users to maintain eye contact while receiving notifications.
    • Introduced the "circular progress bar," which aligns with natural visual characteristics.
  • Implementation Steps and Key Techniques:

    • The experiment consisted of two parts:
      1. Simulated Experiment: Tested the impact of the three display methods on progress information recognition and eye contact quality in a hypothetical digital character dialogue scenario.
      2. Realistic Experiment: Further validated the design results in real-life dialogue contexts involving a wearer and a conversation partner.
    • Used Microsoft HoloLens2 as the OHMD device and developed the progress bar display using Unity.
    • Tested two progress bar presentation modes (continuous and intermittent), ultimately selecting intermittent display to reduce conversation interruptions.

Research Findings

  • Specific Results:

    • Experiment 1 (Simulated Scenario):

      • The circular progress bar showed higher information recognition accuracy (96.32%) compared to the linear progress bar and text label, with minimal gaze shifts.
      • Text labels were difficult to recognize in peripheral visual regions, especially for curved digits (e.g., 3, 8).
      • Most participants (83%) preferred the circular progress bar, considering it the least disruptive to conversations.
    • Experiment 2 (Realistic Scenario):

      • Participants found the circular progress bar most effective, providing higher notification salience and comfort, with most users reporting a more relaxed experience.
      • Although text labels offered quick viewing advantages for some users, the precision required for reading numbers caused higher mental stress.
      • Observers did not perceive unnatural eye behavior from OHMD wearers, indicating minimal impact of the notification design on social interactions.
  • Advantages Over Existing Solutions:

    • The circular progress bar, by aligning with paracentral and near-peripheral visual regions, significantly reduced notification interference with primary tasks such as conversations.
    • Provided an innovative human-computer interaction design that preserves user attention while effectively conveying secondary information.
  • Experimental or Evaluation Results:

    • Both subjective and objective data showed that the circular progress bar outperformed the other two modes in terms of information delivery efficiency and user satisfaction.
    • Data indicated that while the linear progress bar was less intuitive than the circular one, it still had certain applications in pre-positioned information scenarios.
  • Limitations and Future Directions:

    • Limitations:

      • The experiment lacked precise tracking of the specific usage of visual regions (paracentral/near-peripheral).
      • Testing was limited to younger users with high technological acceptance, without covering a diverse age range or varied usage scenarios.
      • The device used (HoloLens2) is relatively bulky, which might affect the naturalness of social interactions in real-world settings.
    • Future Directions:

      • Conduct tests with a broader demographic (e.g., elderly users) to validate the design's applicability.
      • Explore applications and adaptability in other multitasking scenarios, such as public speaking or group meetings.
      • Optimize the circular progress bar's display, such as visual adjustments for time-critical notifications.

Quick Actions

Share

Share this page

ios_share

https://hci.top/en/papers/chi/68796/2022

AdRecommended

Learn AI Coding at CodeNow

open_in_newOpen DOI Link
DOI: https://dl.acm.org/doi/abs/10.1145/3491102.3502127
At a Glance

Paper Snapshot

fact_check
dataset
Source
CHI
calendar_month
Year
2022
emoji_events
Award
Honorable Mention
group
Authors
5 authors
sell
Subtopics
Mixed Reality Workspaces, Context-Aware Computing
work
Professions
—
article
Content Status
Full text indexed
hub
Related Papers
10 related papers