The Body as Its Own Best Sensor - An Autoethnographic Study of the Sensitivities of the Body in Long-Distance Running

Research Background and Issues

• Identified Problems and Challenges:
  The author focuses on long-distance running as a highly sensory and bodily integrated data practice. Although the field of Human-Computer Interaction (HCI) has gradually embraced the concept of "full-body interaction" in design, its application in specific sports, particularly the integration of endurance sports with multi-sensory bodily perception and data, remains underexplored. Furthermore, existing research on sports technologies primarily emphasizes the evaluation of objective performance data while neglecting the complex interplay between subjective experiences and digital data. This results in a disconnect between subjective experiences and technology design.

• Significance:
  With the widespread use of sports tracking technologies (e.g., smartwatches), exploring how technology can support rather than replace athletes' bodily perception has become increasingly important. Understanding how athletes integrate digital data with their sensory and bodily perceptions provides valuable insights for future sports technology design.

• Research Motivation and Related Work:
  By critiquing the traditional binary division between body and technology in design, the author seeks to explore the complex connections between body, data, and environment through the specific practice of long-distance running. This approach not only validates the bodily perception skills involved in sports but also advances the understanding of how technology interacts with the body in practice.

Solution

• Proposed Methods and Solutions:
  The author employs an autoethnographic approach, documenting their sensory and technological experiences during long-distance running to investigate bodily perception skills and their integration with technology in endurance sports. The study also examines how runners dynamically adjust their interpretation and response to digital data (e.g., heart rate, pace) during practice.

• Innovations:

  1. Utilizing autoethnography to enhance micro-level understanding of athletes' internal sensory and technological interactions.
  2. Defining and categorizing a scholarly framework for sensory and multi-sensory perception in long-distance running, revealing the dynamic relationship between "multi-sensory data and sensory actions" in running practices.
  3. Extracting six design insights for sports technology, advocating the principle that "technology should enhance rather than interfere with or replace bodily perception capabilities."

• Implementation Steps and Key Techniques:

  1. Data Collection: Over six months, the author repeatedly recorded bodily sensations, technological dependencies, and emotional changes during a series of running activities (e.g., heart rate monitoring, bodily feedback). The study also included experiments removing technology (e.g., not wearing a smartwatch) to explore the differential effects of bodily monitoring and digital data.
  2. Data Analysis: Using open coding to iteratively refine themes and core concepts of the running experience, validated through repeated reflective actions and cross-context comparisons.
  3. Design Intervention: Exploring and adjusting technological configurations (e.g., modifying heart rate display methods) to observe their potential impact on the running experience.

Research Outcomes

• Specific Outcomes:

  1. The author proposed six new design directions, including multi-sensory experience technology design, data as bodily perception cues, and technology design based on bodily flexibility. Emphasis was placed on the dynamic collaboration between users and sports technology.
  2. Data revealed that the body serves both as the foundation for data generation and as a shaper of the meaning of this data through intention and action (e.g., pace data can guide but should not dictate running rhythm).
  3. It was validated that bodily experience is not static but dynamically transforms with changes in environment, technology, and psychological needs.

• Advantages Over Existing Solutions:

  1. Provides detailed analysis of technology-body interaction, moving beyond the traditional "measurement" function of data to focus on its nuanced integration with individual sensory perception.
  2. Emphasizes that design should encourage users to discover the sensitivity of their own bodies rather than relying entirely on or being forced to follow technology-provided data.

• Experimental and Evaluation Results:

  1. Autoethnographic records showed that removing or altering technological configurations could enhance exploration of bodily perception skills (e.g., running based solely on heart rate rather than pace data).
  2. User responses in different environments indicated that technology should respect the complex interactions between humans and their surroundings rather than simplifying or homogenizing the running experience.

• Limitations and Future Directions:

  1. As the research method is autoethnographic, the results heavily depend on the author's long-term running experience and background, making it challenging to generalize to other user groups.
  2. Future research could design broader experiments to validate the framework's general applicability through controlled user groups and diverse technological interventions.
  3. Investigate how these design principles can be applied in faster-paced and highly dynamic sports scenarios (e.g., team sports, extreme sports).

Conclusion

This study deeply explores the interaction between bodily perception skills and data technologies in running, highlighting how technology design should prioritize the body, emphasizing its sensory complexity and personalized experience. This perspective expands the understanding of sports technology, shifting from performance optimization to balancing bodily perception and subjective experience. It provides significant inspiration for the future of the sports-HCI field, particularly in integrating multi-sensory interaction and personalized user experiences.