Human Robot Interaction for Blind and Low Vision People: A Systematic Literature Review

Research Background and Issues

What problems or challenges did the authors identify?

1. Challenges in navigation and daily tasks: Blind and low-vision (BLV) individuals face significant difficulties in navigation, object localization, and performing daily tasks.
2. Limited adaptability: Existing assistive technologies (e.g., white canes and guide dogs) have limitations, such as restricted obstacle detection and directional guidance capabilities.
3. Lack of consensus in the HCI community: There is no widespread understanding of how assistive robots can support BLV users across different tasks and scenarios, nor established design principles.
4. Social acceptance and ethical considerations: Integrating assistive robots into public spaces raises concerns about privacy, safety, and other social and ethical issues.

Why is this issue important?

• Globally, at least 2.2 billion people are affected by visual impairments, making solutions to this problem crucial for social inclusion and empowerment.
• Assistive robots can enhance the independence and quality of life for BLV users, advancing both technological innovation and societal welfare.

Research Motivation and Related Work

• Limitations of prior studies: Many studies fail to comprehensively address design principles for assistive robots across diverse application domains and interaction methods.
• Key questions: There is an urgent need to explore “where” (application domains), “how” (interaction mechanisms), and “what” (robotic forms) can maximize the utility of assistive robots, and to fill research gaps through systematic literature reviews.

Solution

What methods or solutions did the authors propose?

1. Systematic literature review: Using a multi-stage systematic approach, the authors analyzed 76 key publications on assistive robots for BLV users, spanning from 1981 to 2024.
2. Classification framework: Developed a framework based on three dimensions: application domains, robot morphology, and interaction mechanisms.
3. Data analysis: Extracted and analyzed key information on robot functionality, input/output mechanisms, evaluation methods, and user feedback.

What is innovative about this solution?

• Multi-dimensional analysis: The study not only covers the physical forms of assistive robots but also delves into interaction methods and user feedback.
• Detailed design and evaluation orientation: Integrates challenges and opportunities in robot design to provide clear directions for future researchers.
• Advocacy for participatory design: Emphasizes designing “with” rather than “for” users, giving BLV participants greater agency in the process.

Implementation Steps

1. Define terminology and classification framework: Establish the definition of “robot” and scope of the study, and create an analysis table encompassing dimensions like application domains, interaction mechanisms, and user types.
2. Database search: Retrieve relevant papers from the Scopus database using clear inclusion and exclusion criteria.
3. Data extraction and screening: Manually review titles and abstracts, calculate coding consistency, and expand the literature scope using the “snowballing” method.
4. Analysis and research synthesis: Analyze extracted data to identify key trends and gaps in the design, application, and evaluation of assistive robots for BLV users.

Research Outcomes

What specific outcomes were achieved?

• Revealing research trends: The field of assistive robots has grown since 1981, with navigation research dominating, especially in the 1970s.
• Classification and summary: Systematically organized robot applications (e.g., navigation, education), morphologies (e.g., guide dog-like, robotic cane), and interaction mechanisms (e.g., voice, tactile).
• User feedback: Provided detailed insights into BLV users’ preferences regarding robot weight, interaction design, and functional elegance.

How does it compare to existing solutions?

1. Offers a comprehensive overview from applications to interactions, including less-discussed areas like education and gaming.
2. Highlights social acceptance and ethical issues, providing guidance for integrating robots into public spaces.
3. Clearly identifies future directions, such as enhancing adaptability and personalization for users.

Experimental or Evaluation Results

• User experience: Generally positive but with notable issues, such as assistive devices being too heavy or unsuitable for long-term use.
• Mechanism preferences: BLV users favor voice interaction and tactile feedback but express concerns about learning curves and environmental noise.
• Sample limitations: Experiments often involve a small number of blind participants, affecting the representativeness of statistical conclusions.

Limitations and Future Directions

• Limitations: Many studies are confined to laboratory environments, lacking long-term validation in real-world scenarios; this review relies solely on the Scopus database, potentially omitting other important literature.
• Future directions:
  • Customization and adaptability: Develop robots with personalized interfaces for user customization.
  • Emotional support and social inclusion: Explore the potential of robots in emotional companionship and psychological support.
  • Real-world testing and ethical considerations: Promote designs and evaluations that are more universal and socially acceptable.

In summary, this systematic literature review provides a comprehensive perspective on assistive robot research and, through detailed analysis, advances the field toward multi-application, multi-interaction, and inclusive development.