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Xinyue LIU

Xinyue LIUXinyue LIU

Preparation Final Master Project (2025-2026)

Exploring of information transmission function of vehicle interior lights 

Introduction

This study focuses on a core design question: how to utilise real-time in-vehicle light language in Level 2–3 autonomous driving scenarios to help drivers effectively perceive key information about the vehicle’s surroundings whilst minimising cognitive load. The research background highlights that, as information within smart cockpits becomes increasingly complex (screens, HUDs, etc.), the risk of driver distraction is escalating. Both blind spots in manual driving and cognitive disengagement during autonomous driving point to the same challenge—namely, the driver’s insufficient efficiency in perceiving information about the surrounding environment. To address this, this study designed and validated, through iterative cycles, an in-vehicle lighting information mention system based on peripheral vision perception. The specific design encompassed three levels: firstly, through questionnaire surveys and scenario storyboards, the preferred installation locations for the lighting system (peripheral vision areas such as the A-pillars and the lower edges of side windows) and the form of the light sources (linear light sources being preferable to point light sources) were identified; secondly, a physical prototype was constructed using an Arduino and programmable LED strips to explore information-conveying rules regarding colour coding (red for emergency warnings, blue/green for general reminders) and dynamic modes (breathing, flowing, and flashing frequencies that vary with distance); thirdly, through workshops and user testing, the necessity of the ‘simplicity’ design principle was validated. The core contribution of this design lies in establishing a foundational framework for in-vehicle lighting as a medium for information cues, clarifying its specific positioning, luminaire configuration and criteria for evaluating effectiveness; simultaneously, through empirical research, it revealed users’ clear preferences regarding light source morphology, number of colours and dynamic frequency, thereby providing a quantifiable theoretical basis and a practical design paradigm for the subsequent design of lighting cue systems in smart cockpits.  

Video of design

Pictures of design

Paper download

PFMP_X.L. (pdf)下载

Five-Dimensional Reflection

Business and Entrepreneurship

The background section of the study refers to China’s intelligent transport policies and the market’s pursuit of technological innovation, demonstrating a basic understanding of the commercial context. The section titled ‘Individual Reflections’ specifically highlights that the design itself has the potential to serve as a cost-reduction strategy—it can utilise existing ambient lighting hardware in vehicles to provide information alerts without the need for additional, expensive components, thereby laying the groundwork for economic viability in commercial implementation. However, the study lacks a systematic business analysis and fails to explore the varying demand for this feature across vehicle models in different price brackets.


Creativity and Aesthetics

The research demonstrates conceptual innovation by expanding the role of in-car lighting from traditional ‘ambience and decoration’ to that of an ‘information interaction medium’. In terms of colour coding, a simple principle was proposed: ‘two to three colours are sufficient, with red reserved for the highest emergency level’. However, as the primary objective of this study was to gather insights and validate functional feasibility, the prototype itself ‘lacked significant visual appeal’. The exploration of aesthetics was limited to functional ‘recognisability’ and did not address brand identity, emotional resonance, atmosphere creation or the purely aesthetic experience of light and shadow.


Math, Data and Computing

The study utilised an Arduino and its programming to implement dynamic lighting effects (such as those triggered by a PIR sensor), and incorporated a Bluetooth module to provide a remote control interface. At the data level, basic statistical analyses and visualisations were carried out on the questionnaire and UEQ results, providing a preliminary quantification of users’ evaluations of the system’s ‘novelty’, ‘effectiveness’ and ‘distinctiveness’.


Technology and Realization

At the technical implementation level, this study completed two rounds of physical prototype iterations (the first round utilised cardboard and foam fitted with LED strips; the second round incorporated proximity sensors to enable distance-based interaction), demonstrating the ability to transform a concept into a testable prototype. The study explored the feasibility of key technical parameters such as light source configuration (linear/point), installation position, brightness adjustment and dynamic modes (breathing/flowing/strobing), and validated the technical settings of ‘dynamic brightness adjustment based on distance’ and ‘medium brightness level being most suitable’. However, the prototype has not been deployed in a real vehicle or a high-fidelity driving simulator, and the technical solution has not yet been tested in an actual in-vehicle environment.

User and Society

Through questionnaire surveys, workshops, user testing and interviews, this study systematically gathered in-depth insights and needs from the target users (drivers). The study accurately identified real-world pain points such as ‘blind spots’, ‘fragmented information’ and ‘distractions common among novice drivers’, and constructed storyboards of typical hazardous scenarios based on empathy analysis (first-person and third-person perspectives). User testing clearly validated the system’s practicality in assisting with the detection of blind spots to the side and rear, and participants generally recognised its value as an aid in complex traffic environments (such as car parks and areas where pedestrians and vehicles share the road).


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