Cyclists’ Use of Technology While on their Bike

Micromobility (E-bike, E-scooter) InteractionCyclists (Bicycle / E-bike / E-scooter)

Title of the Paper

Cyclists' Use of Technology While on Their Bike

Paper Information

  • Domain: Human-Computer Interaction (HCI) and the use of cycling technology
  • Keywords: cycling, mobile interaction, smartwatches, smartphones, bike computers, headphones, ethnomethodology, video ethnography

Research Background and Issues

  • Problems or Challenges:

    • While existing research extensively focuses on technology use during driving, cycling as a mode of transportation and exercise has received limited exploration.
    • Current studies on cycling technology design often emulate car dashboards rather than being specifically tailored for cycling environments.
    • Immediate technology use during cycling may pose safety risks, yet there is little detailed analysis of how technology is used in real-world scenarios.
  • Significance:

    • The global increase in cycling, especially during the pandemic and with growing environmental awareness, represents an important social trend.
    • Understanding how cyclists use technology in dynamic environments is crucial for optimizing future technology designs and ensuring safety.
  • Research Motivation and Related Work:

    • HCI research on cycling technology is scarce; existing literature primarily focuses on safety design or technology prototypes, neglecting the timing and interaction behaviors of cyclists' self-selected technology use.
    • This study aims to reveal patterns of technology use during cycling through remote ethnographic observation of cyclists' natural behaviors.

Solution

  • Methods or Solutions:

    • Using an ethnomethodological approach, cyclists were recorded with 360-degree cameras mounted on handlebars to study their technology use during cycling.
    • Analyzing how cyclists choose and execute technology interactions at specific moments.
  • Innovations:

    • Proposing a new perspective for analyzing cyclists' immediate technology use behaviors, particularly how bodily movements prepare for technology interactions.
    • Introducing the concept of "handlebar regionality" to guide future design and optimization of cycling technology.
  • Implementation Steps:

    1. Participant Recruitment and Data Collection:
      • Cyclists were recruited through word-of-mouth and mailing lists.
      • Cameras recorded cyclists' daily normal cycling spaces and behavioral data, avoiding artificial intervention.
    2. Video Data Analysis:
      • Sorting and annotating 17 hours and 57 minutes of collected data to identify scenarios of technology use by cyclists.
      • Using ethnomethodology to observe cyclists' actions before, during, and after technology use frame by frame.
  • Key Technologies Used:

    • 360-degree video recording equipment (GoPro MAX 360).
    • Ethnographic analysis combined with thick description.

Research Findings

  • Specific Findings:

    • Cyclists stabilize their bodies locally and choose appropriate moments to use technological devices.
    • Proposed division of handlebars into "central" and "peripheral" regions, with cyclists primarily preparing and completing device interactions in the "central region."
  • Advantages Compared to Existing Solutions:

    • Provides detailed data on cyclists' immediate technology use behaviors, supplementing insights that laboratory or simulation studies cannot offer.
    • Demonstrates the subtle coordination and dynamic diversity of behaviors in cycling technology use.
  • Experimental or Evaluation Results:

    • Cyclists can interact briefly and effectively with devices (smartwatches, headphones, smartphones) while maintaining bodily stability.
    • By "observing changes in cyclists' hand and handlebar positions," patterns of cycling technology use were revealed.
  • Limitations and Future Directions:

    • Limitations:
      • Did not observe "non-explicit" technology use, such as device vibrations and sound prompts.
      • Participants were predominantly male, with professional cycling backgrounds.
      • Data collection was limited to Western Europe, excluding diverse climatic conditions.
    • Future Directions:
      • Conducting studies across diverse climatic conditions.
      • Exploring the integration of device logs and screen recordings to capture complete interaction details.
      • Designing interaction systems based on "handlebar regionality," such as supporting hand region changes to trigger relevant smart functions.

Design Implications and Applications

  • Cycling technology design should address cyclists' needs for stable hand and body positioning during dynamic device use, reducing risks during interactions.
  • Proposing the concept of a "digital handlebar" as an interaction input trigger point, connected to devices to optimize cycling experience and safety.

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https://hci.top/en/papers/chi/96459/2023

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DOI: https://doi.org/10.1145/3544548.3580971
At a Glance

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Source
CHI
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Year
2023
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Authors
4 authors
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Subtopics
Micromobility (E-bike, E-scooter) Interaction
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Cyclists (Bicycle / E-bike / E-scooter)
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Full text indexed
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Related Papers
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