Understanding Occupants’ Experiences in Quantified Buildings: Results from a Series of Exploratory Studies

Title of the Paper

Understanding Occupants’ Experiences in Quantified Buildings: Results from a Series of Exploratory Studies.

Paper Information

• Research Area: Human-Building Interaction (HBI), Quantified Buildings, and User Experience
• Keywords: Human-Building Interaction, Quantified Buildings, Workplace, Privacy, Data Awareness, Accessibility, Usability, Data Interaction, Adaptive Architecture

Research Background and Issues

• Identified Problems or Challenges:

  • With the development of smart building technologies, there is increasing attention on data collection within buildings, but little focus on its impact on user experience and privacy.
  • Significant research gaps remain regarding potential privacy concerns and the acceptability of data usage in "quantified buildings."
  • It is unclear how data accumulation and usability influence users' understanding and experiences of building usage.

• Importance of the Issues:

  • Data collection and application in quantified buildings can significantly affect employees' well-being, productivity, and privacy protection, offering new research directions in the field of Human-Building Interaction.
  • Understanding quantified buildings can promote more human-centric and sustainable smart building designs.

• Research Motivation and Related Work:

  • This study explores key issues, including the impact of data collection and processing on privacy and acceptability.
  • The research builds on existing literature on Human-Building Interaction and quantified buildings, such as discussions on the design of interfaces between buildings and users, data privacy, and the impact of the built environment on health and behavior.

Proposed Solutions

• Proposed Methods or Solutions:

  • The study designed four workshops aimed at understanding users' perceptions of quantified data collection and usage.
  • Qualitative methods were employed, including focus group discussions, design fiction, storytelling, and data interaction to guide participants' reflections.

• Innovative Aspects:

  • The study investigates user experiences in real quantified buildings rather than laboratory simulations.
  • A design framework based on user privacy needs and data utilization levels is proposed, emphasizing personalization, sustainability, and user autonomy.

• Implementation Steps and Key Techniques:

  • Workshops were organized to explore multiple themes, including current data collection and processing methods, users' understanding of the long-term value of data, and predictions of future smart building developments through design fiction scenarios.
  • Zoom virtual tools and visual design techniques were utilized to enable participants to engage in remote workshops and create narratives.

Research Outcomes

• Specific Findings:

  • Through thematic analysis, four key themes were identified: data ambiguity, privacy complexities, the presentation and usability of building data, and AI's role in health and well-being.
  • A user-centered design agenda for quantified smart buildings was proposed, focusing on enhancing privacy protection and data experience design.

• Advantages over Existing Solutions:

  • Emphasizes dynamic negotiation of user privacy and the visibility and usability of building data.
  • Empowers occupants to autonomously use data in quantified building environments.

• Experimental or Evaluation Results:

  • Identified user confusion about which data constitutes "personal data" and whether informed consent is necessary.
  • Found that data presentation lacks accessibility and clarity, leading to user dissatisfaction with the practical application of building data.
  • Highlighted design opportunities for AI and adaptive architecture while addressing risks of control and manipulation.

• Limitations and Future Directions:

  • Limitations include a small number of participants and the partial remote format of the workshops, which may restrict the generalizability of the findings.
  • Suggested future research directions:
    • Develop new privacy tools to enable dynamic privacy management.
    • Explore practical interface designs for building data to enhance information visualization and materialization.
    • Investigate long-term data interaction and intelligent support for building health and well-being.

Conclusion

This study qualitatively explores users' experiences and expectations in quantified buildings, uncovering key issues such as privacy, data visibility, and user control. It also proposes a series of specific design recommendations for quantified buildings, emphasizing user-centered rather than technology-driven smart building development. These findings lay the foundation for future research on creating more human-centric quantified smart buildings and provide a framework and direction for design.