Manifesting Architectural Subspaces with Two Mobile Robotic Partitions to Facilitate Spontaneous Office Meetings

Research Background and Issues

What problems or challenges did the authors identify?

• While open office layouts aim to foster spontaneous interactions among employees, they fail to effectively mitigate visual, auditory, and privacy-related disruptions caused by unplanned meetings.
• Open offices are perceived by many employees as a major source of distraction, negatively impacting individual focus and social interactions.
• Manually adjusting the environment (e.g., moving furniture or using barriers) to reduce disruptions requires physical, psychological, and social effort from employees, potentially leading to additional burdens or social awkwardness.

Why is this issue important?

• Office disruptions reduce employee job satisfaction, productivity, and social well-being.
• With the rise of remote work and hybrid office models, open offices need to effectively support diverse work activities (e.g., meetings and focused work) to improve office utilization and employee satisfaction.

Research Motivation and Related Work

• Solutions to modern office disruption issues must reduce disturbances while offering flexibility and user-friendliness.
• The authors propose integrating robotics into architectural design by using autonomous mobile robotic partitions to create temporary spaces that reduce disruptions caused by specific activities.
• This study builds on previous research on how robotic furniture interacts with users and adjusts spaces, while expanding the concept of "responsive architecture."

Solution

What methods or solutions did the authors propose?

• The authors proposed using two autonomous mobile robotic partitions to "automatically construct localized spaces" through four strategies:
  1. Adaptation Strategies:
     • Intervention Strategy: Encircle the source of disruption (e.g., remote meeting participants).
     • Mitigation Strategy: Encircle employees affected by disruptions (e.g., focused workers).
  2. Guidance Strategies:
     • Gesture Guidance Strategy: Use the movement of partitions to guide the source of disruption to a more suitable area.
     • Spatial Guidance Strategy: Use architectural spatial configurations (e.g., opening or closing visual connections) to encourage participants in a work zone to rearrange their positions.

What is innovative about this solution?

• Building on existing robotic furniture research, the authors further explored how robotic partitions can create fully enclosed spaces, rather than merely defining spatial boundaries.
• Introduced a systematic approach to dynamically and automatically partition spaces using robots, while indirectly guiding user behavior through architectural design.
• Proposed interpreting the design intent of robotic furniture from the perspective of architectural space itself (e.g., using "spatial guidance" rather than "gesture guidance").

Implementation Steps and Key Technologies

1. Hardware Implementation: Used KELO robotic mobile platforms to enable autonomous navigation and positioning of partitions.
2. Software Control: Implemented semi-autonomous control through the Robot Operating System (ROS) framework and used the Wizard-of-Oz method for real-time robot operation.
3. Experimental Setup: Applied the following conditions in a real company office, testing nine groups of participants (three per group) with field tests and user feedback:
   • Compared how intervention and mitigation strategies reduced meeting disruptions.
   • Compared how gesture guidance and spatial guidance strategies facilitated or ended spontaneous meetings.
4. Data Collection: Gathered subjective feedback from participants under multiple conditions using surveys, video recordings, audio logs, and onsite observations.

Research Outcomes

What specific results were achieved?

• Subjective Experience:

  • Focused workers preferred the "mitigation strategy," as they desired to share spaces with other focused workers while maintaining natural light and social connections.
  • In contrast, remote meeting participants preferred the "intervention strategy," believing smaller enclosed spaces provided privacy and comfort.
  • Spatial guidance strategies were more widely favored than gesture guidance strategies due to their intuitive and non-intrusive nature.

• Systemic Insights:

  • "Architectural spatial control" conveyed design intent more clearly than simple robotic movements, such as adjusting spatial orientation or openness to facilitate task transitions.
  • Strategy design must consider participants' activity types, spatial privileges (e.g., window views), and exposure duration.

How does it compare to existing solutions?

• Proposed a comprehensive approach integrating robotics with architectural design, emphasizing both automated control and user behavior/environmental perception.
• More systematically explored the trade-off between reducing disruptions and introducing new ones, providing guidance for future open office designs.

What were the experimental or evaluation results?

• In most cases, robotic partitions successfully reduced disruptions, though different strategies suited different activity types (e.g., focused work or meetings).
• Gesture guidance strategies were more prone to misunderstandings and disruptions due to unclear intuitiveness, whereas spatial guidance strategies effectively conveyed design intent through architectural spatial configurations.

Limitations and Future Directions

• Limitations:

  • The experiment duration was relatively short (approximately 1 hour per group), potentially failing to capture complex interactions during a typical workday.
  • The sample size was relatively small (27 participants), and the desk arrangement was experimental, limiting the generalizability of the results.
  • The Wizard-of-Oz method used to control the robots did not fully achieve real autonomous functionality.

• Future Directions:

  • Explore longer-term and more complex usage scenarios to validate the design's applicability in real office environments.
  • Optimize the dynamic movement of robotic partitions to make them smoother and more efficient.
  • Further investigate how dynamic spaces can continuously support office environments, such as maintaining alignment between spatial functionality and employee expectations over time.

Through this study, the authors demonstrated how robotics can enhance the flexibility and comfort of open offices while revealing design trade-offs and areas for further exploration. This provides valuable directions for future intelligent building design and human-robot interaction research.