Understanding Interactions for Smart Wheelchair Navigation in Crowds
Honorable MentionAuthors
Human Pose & Activity RecognitionSocial Robot InteractionHuman-Robot Collaboration (HRC)Social WorkersDisability Service Providers
Title of the Paper
Understanding Interactions for Smart Wheelchair Navigation in Crowds
Paper Information
- Subject Area: Smart Wheelchairs, Shared Control, Crowd Navigation
- Keywords: Smart Wheelchair, Shared Control, Wheelchair-Pedestrian Interaction, Wheelchair-User Interaction, Crowd Navigation
Research Background and Issues
- Problems and Challenges:
- Smart wheelchairs can assist users in navigating crowded environments, but existing studies largely overlook the perspective of wheelchair users.
- In complex real-world environments, navigation challenges include balancing user autonomy with system safety control and effectively interacting with crowds.
- Current research lacks a comprehensive exploration of internal interactions between the user and the wheelchair, as well as external interactions between the wheelchair and the crowd.
- Significance:
- Smart wheelchairs have the potential to significantly enhance the safety and social participation of wheelchair users in crowded environments.
- Addressing these issues could improve the daily travel experience of wheelchair users and enhance their quality of life.
- Research Motivation and Related Work:
- The navigation needs of wheelchair users have not been fully studied. Shared control can maintain the user's driving intentions while reducing collision risks.
- Existing technologies primarily focus on static or simple dynamic environments, with limited research on complex crowd scenarios.
Solutions
- Methods and Solutions:
- First Study: Conduct semi-structured interviews to explore wheelchair users' driving experiences and needs in crowded environments.
- Second Study: Organize design workshops involving wheelchair users and designers to co-design adaptive interaction interface systems.
- Innovations:
- Design a bidirectional interaction system based on users' actual needs: internal (wheelchair-user) and external (wheelchair-crowd).
- Propose adjustable interaction designs tailored to different scenarios and user states, balancing user autonomy and social acceptability.
- Implementation Steps:
- Collect user interview data and conduct semantic thematic analysis to extract key needs.
- Use virtual collaboration tools in design workshops to simulate different scenarios (e.g., crowded streets and hospitals) for interface design.
Research Outcomes
- Specific Outcomes:
- Proposed design themes, including types of information, interaction methods, interface placement, and adaptive designs.
- Creatively integrated visual, haptic, and auditory feedback to design wheelchair interaction interfaces.
- Advantages:
- Enhanced user trust in shared control systems.
- Improved safety interactions and social acceptance between wheelchair users and pedestrians.
- Targeted solutions to meet user needs in complex scenarios (e.g., hospitals and streets).
- Experimental or Evaluation Results:
- Found that wheelchair users have a strong demand for refined feedback mechanisms, such as system intentions, environmental information, and obstacle detection.
- User-proposed designs indicated that visual feedback is the preferred choice in most cases, while haptic and auditory feedback play supplementary roles in specific scenarios.
- The design of external interaction systems should be wheelchair-centered to avoid intrusive experiences for pedestrians.
- Limitations and Future Directions:
- The sample focused on current power wheelchair users, excluding potential user groups such as individuals unable to use traditional wheelchairs.
- There was limited gender and regional representation, particularly with fewer female participants in the design workshops.
- Future research could explore optimizing information load to prevent diminished user or pedestrian experience due to information overload.
The above summary comprehensively outlines the core content of the paper, providing a clear theoretical framework and key information for further in-depth reading or application.
Research Questions / Practical Problems
Question signals indexed for this paper.
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Research Questions
3- What interaction support do wheelchair users need when navigating crowded environments?Category: Mobile Context Interaction DesignSimilar questionsarrow_forward
- How can a smart wheelchair interaction system be designed to balance user autonomy and social acceptability?Category: Mobile Context Interaction DesignSimilar questionsarrow_forward
- How can visual, haptic, and auditory feedback most effectively support smart wheelchair interaction across scenarios?Category: Mobile Context Interaction DesignSimilar questionsarrow_forward
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Practical Problems
1- Wheelchair users struggle to navigate crowded streets and hospitals and collisions are common.Category: Mobile Context Interaction DesignSimilar questionsarrow_forward
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DOI: https://dl.acm.org/doi/abs/10.1145/3491102.3502085
At a Glance
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Source
CHI
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Year
2022
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Award
Honorable Mention
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Authors
5 authors
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Subtopics
Human Pose & Activity Recognition, Social Robot Interaction, Human-Robot Collaboration (HRC)
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Professions
Social Workers, Disability Service Providers
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Content Status
Full text indexed
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