Above and Beyond: A Scoping Review of Domains and Applications for Human-Drone Interaction

Document Title

Above and Beyond: A Scoping Review of Domains and Applications for Human-Drone Interaction

Document Information

• Subject Area: A scoping review of domains and applications in Human-Drone Interaction (HDI)
• Keywords: Human-Drone Interaction, domain review, applications, context, robotics, Unmanned Aerial Vehicles (UAV), classification

Research Background and Issues

• Problems or Challenges:

  • Human-Drone Interaction is increasingly applied across multiple domains, but there is currently a lack of comprehensive reviews in this research area.
  • While some studies address specific domains or use cases, an overarching perspective on Human-Drone Interaction has yet to be established.
  • Current research fails to systematically classify the cross-domain applications of HDI, limiting the reproducibility and generalizability of studies.

• Significance:

  • Drones have demonstrated significant value in various fields such as emergency rescue, entertainment, education, and healthcare, for example, assisting firefighters in locating survivors or broadcasting social distancing warnings during a pandemic.
  • The HDI field is entering a phase of rapid development, making it crucial to explore the foundations of past research to support future studies.

• Research Motivation and Related Work:

  • The study identifies 16 major domains and 33 application categories, aiming to summarize historical research and uncover potential research challenges, thereby filling gaps in the current research landscape.
  • Existing review studies focus on specific drone models or specialized applications (e.g., social drones, domestic drones) and fail to provide a holistic view of HDI.

Solution

• Proposed Approach:

  • A scoping review methodology was adopted, analyzing 217 publications from 2010 to 2021.
  • A comprehensive classification framework was proposed, covering a wide range of domains and use cases.
  • The concept of "Drone Metaphors" was introduced to organize and study the roles and behaviors of drones in different contexts.

• Innovations:

  • For the first time, a comprehensive collection of HDI research was compiled, identifying and quantifying 16 domains and over 100 specific application cases.
  • Seven "Drone Metaphors" were described: functional, reliable, intelligent, helpful, friendly, sensory, and unique drones, serving as a systematic research framework.
  • Five major research challenges were proposed to help academia better explore the diverse applications and future directions of HDI.

• Implementation Steps and Techniques:

  1. Formulate research questions: Identify all potential domains and applications in HDI (including descriptive studies and conceptual designs).
  2. Identify and screen literature: Conduct structured queries across ACM and IEEE databases using various related terms.
  3. Classify and organize data: Categorize and record literature from different domains and corresponding applications based on thematic content and frequency.
  4. Visualize data and summarize results: For example, use bar charts and pie charts to display domain distribution and mention frequencies.

Research Outcomes

• Specific Findings:

  • A total of 16 HDI domains were summarized, with the top four being: emergency scenarios (15.6%), entertainment (14.5%), communication (10.9%), and sports (10.0%).
  • 33 application groups were extracted, with the most frequent applications including delivery (12.7%), photography (12.5%), and video production (11.0%).
  • The concept of "Drone Metaphors" was introduced to combine application classification with robotic roles, describing the potential of drones from simple tools to more complex anthropomorphic behaviors.

• Advantages Over Existing Solutions:

  • Provides a comprehensive and systematic summary of the HDI field, offering a high-level perspective that enhances the generalizability of research.
  • The "Drone Metaphors" approach provides a clear framework for studying drones in various scenarios and needs.
  • The data-driven methodology offers references for future cross-domain research and the extension to new use cases.

• Experimental or Evaluation Results:

  • Statistical analysis and classification of literature indicate that "emergency scenarios" are the most frequently applied domain, while many areas (e.g., culture/tourism, cinema) remain underexplored.
  • The study identified several major challenges driving HDI development, including drone roles, interaction technologies, and application environments.

• Research Limitations and Future Directions:

  • Limitations: The scope of the study is constrained by the coverage of ACM and IEEE databases; interaction details in some literature are vaguely described.
  • Future Directions:
    1. Explore the cognitive effects of "Drone Metaphors" in specific applications.
    2. Investigate how drone design and appearance influence user/bystander experiences.
    3. Examine the cross-scenario adaptability of drones in specific domains (e.g., emergency rescue vs. entertainment interaction).
    4. Develop robust contextual classification frameworks to support research generalization.
    5. Advocate for interdisciplinary collaboration to guide technology toward maximizing societal benefits.

Research Challenges and Future Insights

• Model the interaction relationship between humans and drones, particularly the transition point where users shift from bystanders to active participants.
• Enhance role mapping for drones with multi-role, multi-scenario functionalities.
• Test and validate the applicability of interaction technologies in practical environments.
• Develop sustainable business models and management systems for drones.
• Expand from foundational research to practical and standardized fields, promoting the diversification of HDI applications.