Age-Friendly Design of In-Vehicle AR-HUD Interface Based on the KANO-AHP-QFD Integrated Model

Abstract

Addressing the issues of low acceptance and high cognitive load associated with in-vehicle Augmented Reality Head-Up Displays (AR-HUD) among the elderly driving population, this study aims to investigate the critical requirements and design strategies for age-friendly AR-HUD interface design. Based on the integrated KANO-AHP-QFD model, this paper identifies the needs of elderly users regarding vehicle AR-HUD interfaces. Firstly, the KANO model is employed to classify the attributes of elderly user requirements. Secondly, the Analytic Hierarchy Process (AHP) is applied to calculate and rank the weights of these requirements, thereby identifying twelve core design elements for AR-HUDs. Finally, Quality Function Deployment (QFD) theory is utilized to construct a House of Quality (HoQ) for age-friendly AR-HUD interface design, transforming vague user needs into quantifiable design parameters. Through weight calculation and prioritization, this approach provides design strategies and practical guidance for the development of age-friendly vehicle AR-HUD interfaces. Subsequently, a design scheme for a vehicle AR-HUD interface that satisfies the needs of the elderly is derived based on these identified design elements. By employing the KANO-AHP-QFD model, accurate elderly user requirements can be obtained and translated into specific design elements with a clear order of importance, thereby guiding age-friendly AR-HUD design. This research offers a viable pathway to reduce the cognitive burden on elderly drivers and enhance driving safety and interactive experience.

Keywords: AR-HUD, In-vehicle Augmented Reality Head-up Display Interface Design, User Requirements, KANO Model, Quality Function Deployment (QFD), Analytic Hierarchy Process (AHP), Age-friendly Design

DOI: 10.54941/ahfe1007571