Capra: Making Use of Multiple Perspectives for Capturing, Noticing and Revisiting Hiking Experiences Over Time

Context-Aware ComputingHuman-Nature Relationships (More-than-Human Design)

Title

Capra: Making Use of Multiple Perspectives for Capturing, Noticing and Revisiting Hiking Experiences Over Time

Bibliographic Information

  • Research Area: Application of Interaction Design and Slow Technology in Nature Experiences
  • Keywords: Personal history, personal data, hiking, design research, human-computer interaction, slow technology, data visualization, environmental technology, multimodal data, user experience

Research Background and Problem

  • Problem or Challenge: With the rise of low-cost sensors, mobile devices, and wearable technologies, people increasingly record hiking experiences digitally. However, while these technologies enhance quantitative analysis and social sharing, they may hinder the human connection with nature. Current technologies primarily focus on performance metrics but lack design frameworks that support open-ended, multi-perspective reflection.
  • Significance: Digital recording can help individuals re-examine their relationship with nature and their life trajectories. However, if mishandled, it may widen the gap between humans and nature. Particularly for long-term, diverse activities like hiking, designing technologies to support reflective and non-goal-oriented experiences is a critical issue.
  • Research Motivation: To provide a new way of interacting with data, enabling individuals to reflect on nature experiences through different perspectives and sustained open-ended interaction. The study explores applying the concept of "slow technology" to personal data and long-term hiking activities, offering new perspectives on human-nature relationships.

Solution

  • Proposed Method or Solution: The design and implementation of a system called "Capra," which includes a wearable device "Collector" and a home-based device "Explorer." Together, they enable the collection, storage, and multi-modal review of hiking data.
    • Collector is used to gather multi-perspective time-series images and metadata (time, elevation, color) during hikes.
    • Explorer provides an archival and exploration interface based on metadata, allowing users to revisit single hikes or all hiking records through dimensions such as time, color, and elevation.
  • Innovations:
    1. Introducing a multi-perspective time-series data collection model, providing robust hardware and software support for rediscovering nature experiences;
    2. Applying the "explicit slowness" and "implicit slowness" design principles from slow technology, enhancing user understanding and experience in non-direct interaction scenarios through the design of data transfer animations (Transfer Animation);
    3. Transforming metadata from different spatial and temporal dimensions (e.g., time, elevation, color) into interactive resources that support exploration and reflection.
  • Implementation Steps and Key Technologies:
    1. Hardware Development: Developed the multi-lens camera module for Collector and the PCB circuit board for data management, achieving a balance between lightweight design and durability;
    2. Data Visualization and Interaction Design: Linked hiking records non-linearly using three metadata dimensions: time, color, and elevation;
    3. Interaction Modes: Includes playback of single hikes and switching to archived records, guided by metadata filters to support different levels of user exploration;
    4. Transfer Animation: Visualizes potential connections between newly transferred data from Collector and existing archived data during the transfer process, enhancing the perceptibility of metadata.

Research Outcomes

  • Specific Outcomes:
    1. Capra System Design: Developed and tested the Collector with three-lens data collection capabilities and the Explorer supporting multi-dimensional metadata review;
    2. Data Transfer Animation Design: Established a progressive data experience through gradual data transfer and visualization, encouraging deeper understanding and reflection on hiking archives.
  • Advantages over Existing Solutions:
    1. Unlike existing platforms focused on quantitative analysis or social sharing (e.g., Strava), Capra emphasizes data openness and interpretability;
    2. Advocates for non-intrusive design embracing nature experiences, combining technological innovation with humanistic care.
  • Experimental or Evaluation Results: Through four years of practical use and testing by researchers and team members, Capra demonstrated its potential in supporting the revisiting, connection, and reflection of hiking records.
  • Limitations and Future Directions:
    1. Current testing is limited to small-scale use within the research team; future evaluations should extend to long-term use in real-world user scenarios;
    2. Explore additional metadata forms (e.g., soil moisture, temperature) to enrich the data ecosystem;
    3. Improve tool design to enable designers to more efficiently use metadata as rich interactive materials for creative applications.

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https://hci.top/en/papers/chi/148073/2024

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DOI: https://doi.org/10.1145/3613904.3642284
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2024
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Context-Aware Computing, Human-Nature Relationships (More-than-Human Design)
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