Understanding User Acceptance of Electrical Muscle Stimulation in Human-Computer Interaction

Title of the Paper

Understanding User Acceptance of Electrical Muscle Stimulation in Human-Computer Interaction

Paper Information

• Field of Study: Research on user acceptance of electrical stimulation in the field of human-computer interaction
• Keywords: Acceptance, social acceptance, electrical stimulation, human-computer interaction, safety, user experience, functionality, trust, technology acceptance model

Research Background and Issues

• Identified Problems or Challenges:

  • Electrical Muscle Stimulation (EMS) technology has unique potential to influence user behavior or perception, such as controlling user movement direction through muscle stimulation or altering food perception. However, user acceptance of EMS may affect its practical applications.
  • EMS poses risks of violating users' bodily autonomy (locus of control), potentially leading to concerns about pain, loss of bodily control, and other social factors.
  • Although EMS has been commercialized in health and fitness applications, the resistance of many potential users to this technology has not been adequately studied.

• Significance:

  • EMS technology directly interacts with the human body, altering the dynamics between humans and systems. A deep understanding of user concerns is crucial for future design.
  • Negative user attitudes toward the technology could become a significant barrier to the expansion of EMS applications.

• Research Motivation and Related Work:

  • This study uses the Technology Acceptance Model (TAM) as a theoretical framework, complementing existing research on EMS user experience by focusing on "user acceptance before experiencing the technology."
  • By analyzing existing EMS application scenarios (e.g., health, sports, perception alteration), the study explores factors influencing user acceptance of the technology and proposes new design recommendations.

Solutions

• Research Methods:

  • Online Survey: The study conducted an online questionnaire survey with 101 respondents, using videos and textual descriptions to present 8 EMS application scenarios (including applications in human-computer interaction, health, and sports). The survey questions were designed based on the Technology Acceptance Model (TAM) and extended with other relevant models (e.g., UTAUT, UAWD, and Almere models).
  • Semi-structured Interviews: Ten participants were selected from the online survey (including those with and without EMS experience) for in-depth interviews to explore their specific views on EMS acceptance, as well as their motivations and concerns.

• Implementation Steps and Key Techniques:

  1. Scenario Selection: Real-life health and sports scenarios were provided, along with six academic research scenarios involving EMS (including motion control and perception manipulation).
  2. Questionnaire Design: Questions covered nine important dimensions, including perceived functionality, adaptability, trust, social value, and intention to use.
  3. Data Analysis: Quantitative analysis of survey results was conducted (using Aligned Rank Transform statistical analysis), and responses from different experience groups were compared.
  4. Interview Analysis: Thematic analysis of interview transcripts was performed to extract user evaluations and design requirements for EMS technology.

Research Findings

• Specific Results:

  • Survey Results:
    • Health scenarios had the highest acceptance, while perception alteration scenarios (e.g., altering food texture) had the lowest acceptance.
    • Participants with EMS experience exhibited higher trust and lower anxiety levels; inexperienced participants focused more on potential risks and the loss of bodily control.
  • Interview Results:
    1. Users emphasized that the role and rationality of specific scenarios are key factors influencing their willingness to use EMS.
    2. Social acceptance affects users' attitudes toward public use, with suggestions to integrate EMS devices into clothing or accessories to reduce negative attention.
    3. Users expressed strong concerns about safety, including electrode placement, potential side effects, and risks associated with system failure.
    4. Users highlighted the importance of technological transparency and the ability to manually terminate the system.

• Advantages Compared to Existing Solutions:

  • Provides a comprehensive framework for analyzing user acceptance, covering expectations and intentions before experiencing the technology.
  • In-depth interviews uncover user needs for specific scenarios and technical attributes, aiding in the development of EMS designs that better meet user expectations.

• Experimental or Evaluation Results:

  • User acceptance of EMS application scenarios is highly influenced by the purpose of the scenario and individual backgrounds.
  • Safety, aesthetic design, and shared control are key factors affecting user acceptance.

• Limitations and Future Directions:

  • Limitations:
    • Sampling bias: Most participants were from Western countries, and approximately 42% had EMS experience, which may affect generalizability.
    • Participants learned about EMS through videos and textual descriptions, without experiencing actual usage.
  • Future Work:
    1. Develop low-threshold demonstrations and educational cases to reduce barriers for inexperienced users.
    2. Explore specific ethical and legal issues, such as liability in cases of system failure.
    3. Conduct in-depth studies on EMS user experience design to address the balance between safety and user comfort.

Conclusion

This study, through surveys and interviews, reveals the multifaceted considerations of users regarding the acceptance of EMS technology. Its design needs to meet social, technical, and ethical requirements. Additionally, health scenarios and efficient application contexts are key to increasing user acceptance of the technology. These strategic directions provide valuable guidance for the future expansion and application of EMS technology in the HCI field.