"Picture the Audience...": Exploring Private AR Face Filters for Online Public Speaking

AR Navigation & Context AwarenessInteractive Narrative & Immersive StorytellingEsports Players & Live StreamersContent Creators (YouTubers, Podcasters)Dancers & Performing Artists

Title of the Paper

“Picture the Audience... ”: Exploring Private AR Face Filters for Online Public Speaking

Paper Information

  • Subject Area: Augmented Reality (AR), Fear of Public Speaking (FOPS) Management, Psychological Interventions in Video Conferencing
  • Keywords: Augmented Reality, Face Filters, Public Speaking, Communication Skills, Video Conferencing, Self-Perception

Research Background and Problem

  • What problems or challenges did the authors identify?

    • Fear of Public Speaking (FOPS) is one of the most common social anxieties, with many individuals experiencing significant anxiety in formal speaking or social scenarios.
    • With the rise of video conferencing, the pressure and fear of speaking in virtual environments persist, and there is a lack of technological tools to help speakers alleviate anxiety in real-time.
    • Traditional advice such as “imagine the audience in their underwear” is often considered unprofessional or ineffective, with no formal research supporting it.
  • Why is this problem important?

    • Strong communication skills are crucial for career development and personal life, but FOPS can hinder the development of these skills.
    • Video conferencing has become a primary medium for speaking and communication, yet psychological support tools tailored for these scenarios remain limited.
  • Research Motivation and Related Work

    • To explore whether augmented reality (AR) technology can alleviate public speaking anxiety by altering the speaker's visual perception of themselves and their audience.
    • Building on prior work on technological interventions (e.g., VR, virtual agents, real-time feedback), the study aims to propose a more immediate and personalized solution.

Solution

  • What methods or solutions did the authors propose?

    • The concept of “Private AR Filters,” which are filter effects visible only to the speaker, applied to their own video stream or that of other participants.
    • These filters aim to reduce speaking anxiety by altering the speaker's visual perception of themselves and their audience.
  • What is innovative about this solution?

    • This is the first exploration of private AR filters in the context of public speaking, distinct from currently available public and shared AR filters.
    • It provides real-time psychological intervention with flexibility for highly personalized scenarios.
  • What are the implementation steps and key technologies used?

    1. User Survey:
      • Conducted an online questionnaire with 100 participants to gather attitudes, application scenarios, and acceptance levels of private AR filters.
    2. Prototype Development:
      • Developed a web-based video conferencing application called “Masquerade,” which allows users to privately apply AR filters to themselves or others.
    3. Experimental Testing:
      • Recruited 16 individuals with FOPS to perform simulated speaking tasks within the application, collecting feedback through surveys and semi-structured interviews.
    4. Technical Implementation:
      • Built the video conferencing platform using NodeJS and DeepAR SDK, focusing on integrating filter management functionality.
    5. Data Collection and Analysis:
      • Analyzed user behavior, speaking state anxiety data (SUDS scores), user experience, and interview feedback.

Research Findings

  • What specific findings were achieved?

    • The survey revealed that while the concept of “private AR filters” is somewhat controversial, about one-third of participants felt comfortable applying filters to themselves or others.
    • In the demonstration experiment, filter selection was influenced by factors such as material appeal, audience friendliness, and the speaker's anxiety level.
    • Private AR filters were found to help highly anxious individuals reduce tension, but for less anxious individuals, they sometimes increased discomfort.
  • What advantages does this solution have compared to existing ones?

    • Unlike traditional public AR filters, private AR filters offer speakers control over their visual experience and personalized interventions.
    • They do not rely on third-party virtual agents or training processes and can be applied directly during real-time video conferencing to alleviate anxiety.
  • What were the experimental or evaluation results?

    • The experiment found that certain filters (e.g., animal-themed filters) helped mask audience expressions and reactions, thereby reducing speaking pressure.
    • Highly anxious individuals preferred filters that obscured themselves or the audience, while less anxious individuals preferred maintaining visual clarity to monitor the scene.
    • Strategies focused on humorizing the scene and reducing distractions were most effective.
  • Limitations and Future Directions

    • Limitations:
      • The survey and experiment sample sizes were relatively small, involving only 100 survey participants and 16 experimental participants.
      • The range of filters was limited, and the potential of customizable filters was not deeply explored.
      • The study relied solely on self-reported data without incorporating psychophysiological measurements.
    • Future Directions:
      • Conduct more systematic experiments to quantify the impact on anxiety reduction.
      • Perform long-term studies on the effects of filter usage and their adaptability across different populations.
      • Explore the application of AR filters in other video conferencing scenarios or specific populations (e.g., individuals with chronic anxiety or social phobia).
      • Investigate the integration of AR filters with VR/AR headsets to expand technological possibilities.

This study provides a novel perspective on using augmented reality to alleviate public speaking anxiety in the digital age, particularly by creating personalized psychological support tools through real-time visual perception modification.

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https://hci.top/en/papers/chi/96514/2023

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DOI: https://doi.org/10.1145/3544548.3581039
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Source
CHI
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Year
2023
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4 authors
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AR Navigation & Context Awareness, Interactive Narrative & Immersive Storytelling
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Esports Players & Live Streamers, Content Creators (YouTubers, Podcasters), Dancers & Performing Artists
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