Evaluating ActuAir: Building Occupants' Experiences of a Shape-Changing Air Quality Display

Honorable Mention
Context-Aware ComputingSustainable HCIUrban PlannersEnergy Management Personnel

Title of the Paper

Evaluating ActuAir: Building Occupants’ Experiences of a Shape-Changing Air Quality Display

Paper Information

  • Research Area: Human-Computer Interaction (HCI), Building and Environmental Perception
  • Keywords: Air Quality (AQ), Shape-Changing Displays, User Study, Prototype Evaluation, Modular Design, Soft Robotics, Climate Awareness, Built Environment, Workplace
  • Conference: CHI Conference on Human Factors in Computing Systems (CHI '24)
  • Publication Date: May 11–16, 2024

Research Background and Problem

  • Problem or Challenge:

    • There is a lack of user experience research on large-scale shape-changing displays used for air quality visualization in built environments, especially public buildings.
    • Despite advancements in building sensor networks and air quality monitoring technologies, how users understand and utilize these information dissemination systems remains unclear.
    • Post-COVID-19, workplace air quality has gained more attention, but existing studies rarely focus on the practical effects of conveying air quality data in physical forms.
  • Importance:

    • With the increasing challenges of climate change and health concerns, making climate data such as air quality more transparent is crucial for enhancing awareness and behavior among building occupants.
    • Technological research must integrate with user experience studies to explore intuitive and user-friendly data visualization systems in smart buildings.
  • Research Motivation and Related Work:

    • Interaction design research in built environments, including public, physical, and environmental display systems, has been partially explored for its potential to promote social and psychological well-being.
    • The application of shape-changing technologies and soft robotics in environmental feedback research is emerging, but their impact on user cognition and behavior requires further investigation.
    • This study aims to address gaps in research on biomimetic displays and environmental perception, offering directional design recommendations.

Solution

  • Proposed Solution:

    • The design and deployment of ActuAir, a modular shape- and color-changing air quality display system, to physically visualize air quality data.
    • ActuAir leverages soft robotics and shape-changing mechanisms to present air quality data through inflation and LED animations.
    • The system supports customization via its modular structure, coordinating shape and color animations inspired by biomimicry.
  • Innovative Features:

    • Introduces a spatially distributed physical display that conveys air quality data through inflation and light changes.
    • Employs biomimetic forms and feedback mechanisms in the design to enhance user perception and understanding of air quality information.
    • Modular customization allows users to rearrange and adapt the display's layout and functionality based on specific needs.
  • Implementation Steps and Key Technologies:

    • Utilizes soft silicone modules embedded with LEDs to display air quality sensor data through inflation and color changes.
    • Employs wireless Arduino and Raspberry Pi servers for data collection and module control.
    • Prototype configuration by researchers includes settings for historical and real-time data visualization, as well as adjustments to color and shape change rates.
    • Conducted three evaluation studies, including design guideline reviews, co-creation workshops on biomimetic feedback, and real-world deployment in office environments.

Research Outcomes

  • Specific Findings:

    1. User Perception: The system was well-received by building occupants for air quality visualization, with shape and color changes in public areas being the most intuitive forms of perception.
    2. Design Insights and Feedback:
      • Coordinating light animations with shape changes enhances the readability and depth of feedback.
      • Biomimetic feedback (e.g., mimicking leaves or breathing) helps users associate visual changes with air quality data more effectively.
      • The system's sound and module arrangement showed varying levels of user attraction across different deployment scenarios.
  • Advantages Over Existing Solutions:

    • Compared to systems relying solely on visual or auditory feedback, ActuAir dynamically presents real-time air quality data in physical forms (combining LEDs and shape changes), offering a multi-sensory experience that allows users to directly perceive climate changes.
    • Modular design supports flexible deployment, enabling adaptation to different rooms or sensor zones.
  • Experimental or Evaluation Results:

    • Experiment 1: Evaluated the importance of coordination among shape, color, and module interactions based on design guidelines.
    • Experiment 2: Validated user interpretations of various biomimetic feedback (e.g., mimicking breathing or the lifecycle of red coral).
    • Experiment 3: Deployed in a real-world office environment for two weeks, finding that color changes from green to red were easy to understand, but maintaining long-term attention posed challenges.
  • Limitations and Future Directions:

    • Limitations: Experiments were conducted in a single building, with a limited number of modules, and data variations were insufficient for deeper analysis.
    • Future Directions:
      1. Explore deployment suitability in other built environments or residential settings.
      2. Expand the number of modules to validate the potential of large-scale shape-changing displays.
      3. Enhance dynamic user interaction capabilities, such as personalized data source selection or feedback configuration tools.
      4. Investigate sustainable feedback materials (e.g., bio-light sources or low-energy materials) to reduce energy demands while increasing environmental awareness.

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https://hci.top/en/papers/chi/146904/2024

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DOI: https://doi.org/10.1145/3613904.3642396
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Source
CHI
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Year
2024
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Honorable Mention
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Authors
4 authors
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Subtopics
Context-Aware Computing, Sustainable HCI
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Professions
Urban Planners, Energy Management Personnel
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Full text indexed
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Related Papers
3 related papers