Can Icons outperform Text? Understanding the Role of Pictograms in OHMD Notifications

Head-Up Display (HUD) & Advanced Driver Assistance Systems (ADAS)Eye Tracking & Gaze InteractionNotification & Interruption ManagementSoftware Engineers & DevelopersUI/UX Designers

Document Title

Can Icons Outperform Text? Understanding the Role of Pictograms in OHMD Notifications

Document Information

  • Subject Area: Human-Computer Interaction and Information Visualization, specifically the design of notifications for Optical Head-Mounted Displays (OHMD).
  • Keywords: OHMD, Optical Head-Mounted Display, Icon Notifications, Multitasking, Information Design, Human-Computer Interaction, Graphics vs. Text Comparison, Focused Attention, Information Interruption, User Study.

Research Background and Issues

  • Issues and Challenges:
    • Optical Head-Mounted Displays (OHMD), such as smart glasses, offer digital assistance anytime and anywhere. However, in mobile multitasking scenarios, users have limited attentional resources, posing new demands on information presentation.
    • Current information displays on OHMDs primarily use text (language) or pictograms (graphics). Although previous research has demonstrated the advantages of pictograms for rapid recognition in non-digital contexts such as road signs, their effectiveness in digital notifications remains inconclusive.
  • Significance:
    • Designing OHMD notifications requires ensuring concise information presentation while enabling efficient processing in multitasking scenarios. This is crucial for enhancing user experience and optimizing multitasking performance.
  • Research Motivation and Related Work:
    • While icons (pictograms) have effectively promoted rapid comprehension in many non-digital fields, cross-domain studies reveal mixed results for their application in digital notifications.
    • Previous research has not clearly elucidated the differences between text and pictograms on OHMDs, particularly when balancing interruption, reaction time, and comprehension.

Solution

  • Proposed Solution:
    • Introduce "Icon-Augmented Notifications," which partially replace text notifications with icons to explore their potential in multitasking scenarios.
  • Innovations:
    • Investigate the impact of icon familiarity, encoding density (the amount of text an icon can represent), and environmental brightness on the effectiveness of icon notifications.
    • Provide a mechanism for users to dynamically select icons to control biases related to content familiarity.
  • Implementation Steps and Key Techniques:
    • Design and conduct a series of experiments:
      • Experiment 1: Compare researcher-selected icon-augmented notifications with text notifications in multitasking performance.
      • Experiment 2: Control conjunctions and filler words in text notifications to redesign the text baseline and minimize variable interference.
      • Experiment 3: Allow users to select familiar icons and explore the impact of encoding density.
      • Experiment 4: Test the real-world applicability of laboratory findings in practical environments.

Research Outcomes

  • Specific Findings:
    1. Icon-augmented notifications reduce user interruptions in multitasking scenarios while maintaining efficient reaction times and attention performance.
    2. Users prefer icon-augmented notifications, especially when designed under the following conditions:
      • Users are highly familiar with the icons.
      • Icons have high encoding density (i.e., can represent more textual content).
    3. Experiment 4 demonstrates that these laboratory results have a degree of generalizability in real-world contexts, particularly in scenarios such as outdoor navigation and stationary browsing.
  • Advantages:
    • Compared to traditional text notifications, icon-augmented notifications significantly reduce interruptions and lower the cost of attention shifts.
    • Icon notifications achieve efficient information transmission with minimal screen usage.
  • Experiments and Evaluation:
    1. Experiment 1 found that icon-augmented notifications outperform text notifications in task accuracy and reaction time.
    2. Experiment 2 indicated that removing filler words from text notifications narrowed the advantage of icon notifications, but users still showed subjective preference for icons.
    3. Experiment 3 confirmed that user-selected icons enhance notification interpretability and validated the potential of icons to support multilingual communication through encoding density.
    4. Experiment 4 revealed the high adaptability of icon notifications in real-world environments but also highlighted the impact of external brightness on notification visibility.
  • Limitations and Future Directions:
    • Limitations include the focus on daily calendar notifications, which may restrict applicability to other types of notifications (e.g., instant messaging app notifications).
    • Further research is needed on environmental brightness, notification contrast in outdoor conditions, and long-term usage habits.
    • Future research directions include:
      • Exploring automated design systems for icon-augmented notifications.
      • Expanding applicability studies to broader notification types and user groups (e.g., older adults, visually impaired individuals).
      • Integrating innovative technologies such as eye-tracking to further optimize notification design and presentation.

Output Specifications

  • Overall Format: Combine text and graphical notifications to enhance user experience in future augmented reality devices.
  • Application Recommendations: Icon-augmented notifications are particularly suitable for scenarios requiring rapid recognition and brief responses (e.g., outdoor navigation, personal schedule reminders).

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https://hci.top/en/papers/chi/95862/2023

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DOI: https://doi.org/10.1145/3544548.3580891
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Source
CHI
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Year
2023
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Authors
3 authors
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Subtopics
Head-Up Display (HUD) & Advanced Driver Assistance Systems (ADAS), Eye Tracking & Gaze Interaction, Notification & Interruption Management
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Professions
Software Engineers & Developers, UI/UX Designers
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