A Framework for Personalised HMI Interaction in ADAS Systems

Yannis Lilis, Emmanouil Zidianakis, Nikolaos Partarakis, S. Ntoa, C. Stephanidis
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引用次数: 6

Abstract

Personalisation features of Advanced Driver Assistant Systems (ADAS) can improve safety and driving experience. However, they are typically developed in an ad-hoc, application-specific and vehicle-specific manner, resulting in tightly coupled implementations that are difficult to extend, while disallowing reuse of personalisation code or even personalisation logic across different setups. In this context, this paper proposes a framework for supporting personalised HMI interaction in ADAS systems, developed in the context of the H2020 ADAS&ME project. The framework is based on a rule engine that uses a customisable and extensible set of personalisation and adaptation rules, provided by automotive domain and HMI experts, and evaluates them according to the driver, vehicle and environment to produce HMI activation and GUI personalisation and adaptation decisions. Personalised HMI modality selection is realised by taking into account all available input and output modalities of the vehicle and maintaining bindings for their activation. At the same time, GUI personalisation is handled automatically through a GUI toolkit of personalisable and adaptable user controls that can be used for developing any GUI application requiring personalisation features. The paper presents the design and development of the framework and validates it by deploying it in two case studies.
ADAS系统中个性化人机交互框架
高级驾驶辅助系统(ADAS)的个性化功能可以提高安全性和驾驶体验。然而,它们通常以特定于应用程序和特定于车辆的方式开发,导致难以扩展的紧密耦合实现,同时不允许跨不同设置重用个性化代码甚至个性化逻辑。在此背景下,本文提出了一个支持ADAS系统中个性化人机交互的框架,该框架是在H2020 ADAS&ME项目的背景下开发的。该框架基于一个规则引擎,该引擎使用由汽车领域和HMI专家提供的一组可定制和可扩展的个性化和自适应规则,并根据驾驶员、车辆和环境对这些规则进行评估,以产生HMI激活和GUI个性化和自适应决策。个性化的人机界面模式选择是通过考虑车辆所有可用的输入和输出模式并维护其激活绑定来实现的。同时,GUI个性化是通过可个性化和可适应的用户控件的GUI工具包自动处理的,这些控件可用于开发任何需要个性化功能的GUI应用程序。本文介绍了该框架的设计和开发,并通过在两个案例研究中部署它来验证它。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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