Understanding User Requirements for Creating Sensor-Powered Smart Car Cabins Through Retrofitting

Automated Driving Interface & Takeover DesignIn-Vehicle Haptic, Audio & Multimodal FeedbackAutomotive Manufacturers & Vehicle DesignersAutonomous Driving Engineers & Test Drivers

Paper Title

Understanding User Requirements for Creating Sensor-Powered Smart Car Cabins Through Retrofitting

Publication Info

  • Topic area: Retrofitting sensor-enabled smart car cabins to address limitations of built-in systems.
  • Keywords: Smart cabin sensors, retrofitting, user requirements, participatory design, automotive technology, customization, sensor portability, autonomous vehicles, aftermarket sensors, user-centered design.

Background and Problem

  • Problem / challenge: Built-in smart cabin sensors lack portability, customization, upgradeability, and repairability, and often fail to meet diverse user needs.
  • Significance: Retrofitting aftermarket sensors offers a potential solution to address these limitations, enabling personalized and portable smart cabin experiences.
  • Motivation and related work: Previous research has explored retrofitting in homes and workplaces but has not adequately addressed automotive contexts or user-centered design for retrofitting car cabins.

Solution

  • Proposed approach: Retrofitting car cabins with aftermarket sensors to enable user-selected, customizable, and portable smart cabin experiences.
  • Novelty:
    1. Identification of challenges with built-in sensors through interviews and participatory design.
    2. Proposal of retrofitting as a user-centered alternative to manufacturer-installed systems.
    3. Development of design recommendations for sensor installation, removal, storage, and migration.
  • Procedure and key techniques:
    • Phase 1: Semi-structured interviews with 18 participants to identify challenges with built-in sensors.
    • Phase 2: Probe-based co-design sessions with 15 participants to explore retrofitting solutions and user requirements.
    • Use of 3D-printed sensor mockups and discussion cards to facilitate hands-on exploration and idea generation.

Results

  • Concrete findings:
    • Identified five key challenges with built-in sensors: lack of portability, inability to meet diverse user needs, limited customization, difficulty in upgrades, and repair challenges.
    • Retrofitting enables personalized sensor configurations, portability across vehicles, and easier upgrades and repairs.
  • Advantage over baselines:
    • Retrofitting addresses limitations of built-in sensors by providing flexibility in sensor selection, placement, and functionality.
    • Supports portable smart cabin experiences across vehicles and environments.
  • Experiments / evaluation:
    • Phase 1: Interviews revealed dissatisfaction with built-in sensors and highlighted user needs for customization and portability.
    • Phase 2: Co-design sessions identified user requirements for retrofitting, including ease of installation, removal, storage, and migration.
    • Participants engaged with low-fidelity prototypes to explore retrofitting concepts.
  • Limitations and future work:
    • Low-fidelity prototypes may not fully replicate real-world sensor functionality.
    • Study focused on legacy vehicles; further research needed for autonomous vehicles and diverse cabin layouts.
    • Future work should explore practical tools for retrofitting tasks, such as sensor attachment mechanisms and migration workflows.

Summary

This paper investigates retrofitting car cabins with aftermarket sensors as a solution to the limitations of built-in systems. Through interviews and participatory design sessions, the study identifies user challenges and requirements, emphasizing the need for customization, portability, and ease of use. Retrofitting offers a flexible and user-centered approach to creating personalized smart cabin experiences, with implications for legacy and autonomous vehicles. The findings inform design recommendations for sensor installation, removal, storage, and migration, laying the groundwork for future research and practical implementations in automotive and smart environment contexts.

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https://hci.top/en/papers/chi/221978/2026

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DOI: https://doi.org/10.1145/3772318.3790670
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Source
CHI
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Year
2026
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Authors
4 authors
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Subtopics
Automated Driving Interface & Takeover Design, In-Vehicle Haptic, Audio & Multimodal Feedback
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Automotive Manufacturers & Vehicle Designers, Autonomous Driving Engineers & Test Drivers
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