What can HCI learn from sexual consent? A Feminist Process of Embodied Consent for Interactions with Emerging Technologies
Authors
Title of the Paper
What Can HCI Learn from Sexual Consent? A Feminist Process of Embodied Consent for Interactions with Emerging Technologies
Paper Information
- Research Domain: Human-Computer Interaction (HCI), Ethics, Gender Studies
- Keywords: Ethics, Sexual Consent, Feminist HCI, Embodied Interaction, Emerging Technologies, Smart Technologies, Humanized Devices, BDSM, TEASE Process Model, FRIES Model
Research Background and Issues
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What problems or challenges did the authors identify?
- Despite broad sociocultural advancements related to the concept of sexual consent (e.g., the #MeToo movement), these ideas have rarely been extended or applied within the field of HCI;
- Consent in HCI is often treated as a static "single decision," lacking a dynamic, continuous, and relational process;
- Interactions with emerging technologies involving the human body, privacy, and behavioral persuasion (e.g., smart technologies and humanized devices) lack systematic models for consent practices.
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Why is this issue important?
- As technology evolves, interactions between systems and humans become increasingly complex, raising ethical concerns about the absence of appropriate mechanisms for obtaining consent. This deficiency may reinforce unequal relationships or harmful cultures (e.g., gender discrimination and rape culture).
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Research Motivation and Related Work
- Inspired by sexual consent models (e.g., the FRIES model: Freely given, Revocable, Informed, Enthusiastic, Specific), the authors propose extending and adapting sexual consent frameworks to technology ethics;
- Current research on HCI ethics primarily focuses on informed consent for privacy data, with insufficient attention to dynamic consent mechanisms and embodied interactions.
Solutions
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What methods or solutions did the authors propose?
- The authors introduced the "TEASE" process model based on sexual consent frameworks:
- Traffic lights: Provide real-time feedback mechanisms (e.g., red for stop, green for go);
- Establish ongoing dialogue: Emphasize continuous dialogue between users and systems;
- Aftercare: Conduct reviews and provide support after interactions;
- Safewords: Define explicit commands or gestures to terminate interactions;
- Explicate soft/hard limits: Clearly outline acceptable behaviors and absolute prohibitions for users.
- The authors introduced the "TEASE" process model based on sexual consent frameworks:
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What is innovative about this solution?
- Drawing from feminist sexual consent practices and traditions within BDSM communities, the model introduces dynamic, embodied, and affirmative consent concepts into HCI;
- The TEASE model serves not only as an ethical framework but also as a dynamic, specific, and context-sensitive design guideline.
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What are the implementation steps and key technologies used?
- Apply FRIES and TEASE to three specific interaction scenarios:
- Embodied game interactions: Such as VR and smart wearable devices;
- Persuasive design in smart technologies: Such as smart refrigerators and smart cities;
- Humanized devices and robot interactions: Such as voice assistants and sex robots;
- Demonstrate potential applications through speculative scenarios;
- Highlight the integration of technologies like voice activation, perceptive interfaces, and user behavior preference prediction with ethical mechanisms.
- Apply FRIES and TEASE to three specific interaction scenarios:
Research Outcomes
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What specific outcomes were achieved?
- Developed a theoretical model (TEASE) and illustrated its potential in HCI through three application scenarios;
- Proposed a series of design recommendations to complement existing static, single-decision consent mechanisms by emphasizing the "dynamic" nature of the interaction process.
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How does it compare to existing solutions?
- Moves beyond traditional "single decision" models in HCI practice, focusing instead on dynamic interactions and the sustained relationship between users and technology;
- Incorporates sociocultural and ethical perspectives, particularly addressing issues of power inequality and gender-based social structures.
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What are the experimental or evaluation results?
- The study is primarily theoretical and conceptual, without empirical experimental validation, but provides ample demonstrations through selected interaction scenarios.
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Limitations and Future Directions
- Limitations:
- The TEASE model has not undergone empirical research;
- May lean heavily on Western frameworks (due to the cultural background of the authors), requiring validation in more diverse cultural contexts;
- Certain technical implementations remain challenging (e.g., real-time dynamic dialogue).
- Future Directions:
- Validate TEASE guidelines in practical design and development processes;
- Extend applications to practice scenarios in diverse cultural contexts;
- Explore the potential impact of new technologies (e.g., biosensors) on consent mechanisms.
- Limitations:
Conclusion and Significance
- This study is pioneering in introducing sexual consent models into broader technological interaction domains, encouraging HCI practitioners to reimagine ethical relationships through FRIES and TEASE;
- Particularly in the context of rapid technological advancements, the research promotes the systematic application of advanced consent models in design and implementation.
Research Questions / Practical Problems
Question signals indexed for this paper.
Research Questions
3- How can dynamic, specific, and relational features of sexual consent models be applied to HCI interaction?Category: Privacy, Consent, and Bystander Protection in XRSimilar questionsarrow_forward
- How can the TEASE process model improve ethical relationships in human-computer interaction, especially in dynamic consent design?Category: Privacy, Consent, and Bystander Protection in XRSimilar questionsarrow_forward
- Can the TEASE model effectively support consent mechanism implementation in specific contexts (e.g., VR, smart technology)?Category: Privacy, Consent, and Bystander Protection in XRSimilar questionsarrow_forward
Practical Problems
1- Users lack dynamic, clear consent mechanisms when interacting with smart technology, potentially raising ethical issues.Category: Privacy, Consent, and Bystander Protection in XRSimilar questionsarrow_forward
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