Exploring Intended Functions of Indoor Flying Robots Interacting With Humans in Proximity

Title of the Paper

Exploring Intended Functions of Indoor Flying Robots Interacting With Humans in Proximity

Paper Information

• Subject Area: Human-Computer Interaction (HCI), research on the close-proximity interaction between indoor drones and humans
• Keywords: Indoor drones, drone functions, proxemics, Human-Drone Interaction (HDI), User Experience (UX), Artificial Intelligence (AI)

Research Background and Issues

• Identified Problems or Challenges:

  1. Existing research primarily focuses on outdoor applications of drones, with limited attention to indoor scenarios.
  2. In indoor settings, drones exhibit significant differences in noise, functional requirements, and interaction methods compared to outdoor environments.
  3. There is insufficient understanding of how indoor drone functions impact user experience.
  4. A lack of systematic studies exploring the influence of indoor drone function design on human perception.

• Significance:

  • With the advancement of drone technology, the potential use cases for drones in daily life are expanding. Understanding how indoor drones interact and functionally impact users can lead to better designs and increased acceptance.

• Research Motivation and Related Work:

  • The authors observed the potential applications of drones in fields such as education, companionship, and navigation based on previous studies, but noted a lack of systematic exploration of how specific functions and proximity affect user experience.
  • Using the "Research through Design (RtD)" approach, the authors aim to systematically design and evaluate the interaction effects of drones in various functional scenarios.

Solution

• Methods and Solutions:

  • The authors propose a mixed-methods research design, including quantitative surveys and qualitative semi-structured interviews.
  • Through controlled experimental design, they evaluate four drone function scenarios (photography, education, pet-like behavior, and unknown function) at two distances (close: 60cm, far: 180cm).

• Innovations:

  1. The first study to situate drone interaction models in realistic indoor scenarios.
  2. Combines experiments with user experience models to explore the impact of functions and proximity on user perception.
  3. Introduces the design concept of "function clarity," emphasizing the communication of drone functions during interactions.

• Implementation Steps and Techniques:

  1. Experimental Environment: A simulated home environment was set up in an indoor lab, including furniture and a television screen displaying relevant icons.
  2. Experimental Procedure: Each participant experienced all 8 different scenarios, completed a short questionnaire after each, and participated in an interview post-experiment.
  3. Data Analysis Methods:
     • Quantitative data were analyzed using the Aligned Rank Transform (ART) method, combined with non-parametric analysis for multi-factor data testing.
     • Qualitative data were analyzed through thematic analysis of interview transcripts, with coding supported by MAXQDA software.

Research Findings

• Specific Findings:

  • The education function significantly enhanced user experience and was unanimously considered the most attractive and useful by participants.
  • The photography function was deemed practical but annoying, with participants expressing strong concerns about privacy.
  • The pet-like function was found to be useless but enjoyable, though participants noted a lack of genuine emotional connection and interactivity.
  • The unknown function resulted in the poorest experience, eliciting feelings of unease and rejection.

• Advantages:

  1. Application of User Experience Models: The education function, combined with distant interaction, balanced practicality and enjoyment, making it the best choice.
  2. Insights on Privacy Protection: The study systematically revealed the relationship between drone functions and privacy risks for the first time.
  3. Design Recommendations: Proposed direct and indirect methods to clearly communicate functions to users, such as through lights, sounds, or appearance-based cues.

• Experimental or Evaluation Results:

  • Graphical results indicated that proximity significantly affected noise and feelings of pressure but had minimal impact on functional perception.
  • The education function scored the highest across all evaluation metrics, while the unknown function received the lowest ratings in all aspects.

• Limitations and Future Directions:

  1. Sample Limitations: The study did not explore how participant age, occupation, and cultural background influenced results.
  2. Environmental Constraints: Experiments were conducted solely in a simulated home environment, without considering other indoor scenarios (e.g., public spaces or offices).
  3. Technological Factors: Potential impacts of drone sensors, weight, and battery life on the experience were not addressed.

  Future Work Directions:

  • Explore additional drone functions, such as innovative applications beyond education.
  • Investigate the unique needs of drones in different user groups and scenarios (e.g., shopping malls, classrooms).
  • Examine the possibilities of drone interactions in group settings or applications involving multiple drones.

Conclusion

This study is the first to systematically explore the design and impact of indoor drone functions from a user experience perspective, revealing that functions significantly influence user perception and acceptance of drones. The authors advocate for prioritizing function clarity, noise reduction, privacy protection, and safety in drone design. Inspired by the success of the education function, they call for responsible and positive applications of drone technology.