"To Click or not to Click": Back to Basic for Experience Sampling for Office Well-being in Shared Office Spaces

Title of the Paper

“To Click or not to Click”: Back to Basic for Experience Sampling for Office Well-being in Shared Office Spaces

Bibliographic Information

• Subject Area: Human-Computer Interaction, Office Environment, and Employee Well-being
• Keywords: Experience Sampling, Environmental Sensors, Office Well-being, Privacy Protection, Mobile Devices, Data Integration, Social Interaction, Behavior Change, Workplace Design, Data Collection

Research Background and Problem

Identified Issues or Challenges

• Office sensors primarily focus on environmental data (e.g., temperature, humidity, lighting, etc.) and fail to effectively capture employees' personal experiences and subjective feelings.
• Annual surveys or traditional experience sampling methods lack real-time feedback, making it difficult to obtain immediate responses and often leading to challenges in data processing and actionable insights due to overly broad or narrow scopes.
• Sampling methods on mobile devices may introduce privacy risks and reduce user engagement due to notification overload or display fatigue.

Importance

• Improving employees' perception of their office environment and well-being can drive behavioral changes and foster healthier work habits.
• Research on office space well-being can influence employee productivity and optimize corporate environmental design.

Research Motivation and Related Work

• Develop a method that integrates environmental sensor data with employees' subjective experiences to enable more comprehensive research on office space well-being.
• Draw from prior work in "public data collection devices" and "experience sampling," while addressing issues such as privacy, data limitations, and the lack of real-time responses.

Solution

Method or Solution

• Proposed System: Click-IO, a mobile, privacy-focused experience sampling tool that enables real-time sampling through a tangible clicker.
• Key Innovations:
  1. Privacy-first design: Avoids the use of personal smartphones or digital identities.
  2. Non-intrusive notification design: Utilizes low-learning-curve tangible interaction to prevent display fatigue.
  3. Mobility: Allows users to carry the device and provide immediate feedback in office scenarios.
  4. Social visibility: Designs the sampling tool as a trigger for social interaction, enhancing opportunities for collective reflection in the workplace.

Implementation Steps and Key Technologies

1. System Construction:
   • Clicker, RFID scanning technology, Adafruit-IO cloud data storage, and portable clicker stations.
   • Data is recorded through scanning and integrated with sensor data to analyze user-environment interactions.
2. Design Challenges:
   • Use of an iPad to display daily reflective questions.
   • Question types include issues related to the work environment, social interactions, and personal behavioral data.
3. Technical Details:
   • Integration of multiple environmental sensors (e.g., temperature, humidity, CO2 concentration sensors) to complement user-provided feedback.
   • Deployment of six scanning points to enable location-based functionality.
4. Evaluation Method:
   • Deployed for 20 days in an open-plan office environment, combined with participant interviews to validate system design and effectiveness.

Research Findings

Specific Outcomes

• User Feedback:
  • Participants found the system convenient and easy to use, with privacy-focused design providing reassurance.
  • Mobility and real-time reflection features enabled employees to provide more accurate feedback.
  • Daily questions encouraged reflection on the work environment, indirectly promoting behavioral changes (e.g., drinking water, standing while working).
  • Challenge-based questions sparked discussions on workplace constraints and optimization.
• Integration of Sensor and User Feedback:
  • Revealed discrepancies between sensor data and user perceptions in certain scenarios (e.g., overly bright lighting not perceived as bothersome), highlighting the necessity of data integration.
  • The system uncovered data that could not be captured by environmental sensors alone (e.g., drinking coffee, feeling tired), expanding the application scope of traditional sampling tools.

Comparative Advantages

• Compared to traditional annual office environment surveys, this system captures real-time and specific behaviors, improving data quality.
• The non-intrusive privacy solution addresses major concerns of traditional mobile sampling tools while lowering the barrier to user participation.

Experiment and Evaluation Results

• Collected 1,574 click data points, cross-referenced with environmental sensor data for analysis.
• Some feedback data and sensor anomalies revealed inconsistencies between the environment and personal experiences.
• Provided comprehensive data analysis to advance office well-being research.

Limitations and Future Directions

• Technical Limitations:
  • The manual scanning function of the clicker may lead to incomplete location data.
  • Lack of timestamp records to support more granular analysis.
• User Engagement Issues:
  • Some employees did not actively use the clicker, resulting in limited data coverage.
• Future Directions:
  • Explore the system's applicability in other work environments (e.g., private offices).
  • Extend the deployment period to observe whether behavior changes are driven by the novelty of the technology.
  • Enhance the system's interaction value by providing visual and physical representations of feedback data.

Conclusion

Click-IO offers significant innovations and insights for the design of mobile experience sampling tools, including privacy protection, real-time data collection, and environmental integration. The research findings demonstrate the potential of combining sensor data with user experience sampling and propose a series of design recommendations to promote more effective office well-being research. Future work will focus on expanding the system's applications, optimizing its technology, and exploring interdisciplinary research opportunities.