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

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Authors: Bofan Yu, Borui Li, Tingyu Zhang, Xing-Dong Yang
Cited by: 1
References: 66

Abstract

In this paper, we explore a novel approach that leverages retrofitting to create sensor-powered smart car cabins. We propose that retrofitting offers a promising way to complement and extend the capabilities of built-in smart cabin sensors provided by car manufacturers. To understand how retrofitting solutions should be designed, we conducted a two-phase study. First, through semi-structured interviews with 18 participants, we examined challenges with built-in smart cabin sensors and identified opportunities where retrofitting could address these limitations. Second, through probe-based participatory design sessions with 15 participants, we identified user requirements and expectations for effective retrofit solutions. Based on our findings, we present a set of design recommendations to guide the future development of retrofit methods for smart car cabins.

Fields of Study & Subjects

Innovative Human-Technology Interaction Spreadsheets and End-User Computing Personal Information Management and User Behavior

Publication details

Journal / source
Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems
Publisher
ACM
Pages
1–18
Publication date
13 April 2026