人机交互的认知计算模型:最新进展与未来方向

IF 5.3 2区 计算机科学 Q1 COMPUTER SCIENCE, CYBERNETICS
Christian P. Janssen , Martin Baumann , Antti Oulasvirta
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引用次数: 0

摘要

我们讨论了用于人与自动驾驶汽车交互的计算认知模型的开发、评估和应用的最新进展和未来方向。自动驾驶汽车的功能正在迅速增强,并改变着人类与车辆及车辆周围的互动。但与此同时,不需要人机交互的全自动驾驶汽车还没有出现。因此,我们需要人车共同互动的系统。我们将讨论能够描述、预测和/或预知人类行为和思想的计算认知模型如何在这方面发挥关键作用。此类研究来自许多不同的学科,包括认知科学、人机交互、人为因素、交通研究和人工智能。本特刊汇集了这些领域的最新研究成果。我们为未来的研究确定了四个更广泛的方向:(1) 继续艾伦-纽厄尔(Allen Newell)的认知建模研究议程,但现在要将其应用到人机交互领域;(2) 从孤立的理论切片转向综合理论;(3) 考虑将认知模型既用于分析交互,也用于嵌入式系统;(4) 从主要描述的模型转向可以预测的模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computational models of cognition for human-automated vehicle interaction: State-of-the-art and future directions

We discuss the state-of-the-art and future directions of the development, evaluation, and application of computational cognitive models for human-automated vehicle interaction. The capabilities of automated vehicles are rapidly increasing and changing human interaction with and around the vehicle. Yet, at the same time, fully automated vehicles that do not require human interaction are not available. Therefore, systems are needed in which the human and the vehicle interact together. We discuss how computational cognitive models that can describe, predict, and/or anticipate human behavior and thought can play a crucial role in this regard. Such research comes from many different disciplines including cognitive science, human-computer interaction, human factors, transportation research, and artificial intelligence. This special issue brings together state-of-the-art research from these fields. We identify four broader directions for future research: (1) to continue Allen Newell's research agenda for cognitive modeling, but now apply it to the field of human-automated vehicle interaction; (2) to move from isolated theory-slicing to integrated theories, (3) to consider cognitive models both for analysis of interaction and for use in embedded systems; (4) to move from models that mostly describe to models that can predict.

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来源期刊
International Journal of Human-Computer Studies
International Journal of Human-Computer Studies 工程技术-计算机:控制论
CiteScore
11.50
自引率
5.60%
发文量
108
审稿时长
3 months
期刊介绍: The International Journal of Human-Computer Studies publishes original research over the whole spectrum of work relevant to the theory and practice of innovative interactive systems. The journal is inherently interdisciplinary, covering research in computing, artificial intelligence, psychology, linguistics, communication, design, engineering, and social organization, which is relevant to the design, analysis, evaluation and application of innovative interactive systems. Papers at the boundaries of these disciplines are especially welcome, as it is our view that interdisciplinary approaches are needed for producing theoretical insights in this complex area and for effective deployment of innovative technologies in concrete user communities. Research areas relevant to the journal include, but are not limited to: • Innovative interaction techniques • Multimodal interaction • Speech interaction • Graphic interaction • Natural language interaction • Interaction in mobile and embedded systems • Interface design and evaluation methodologies • Design and evaluation of innovative interactive systems • User interface prototyping and management systems • Ubiquitous computing • Wearable computers • Pervasive computing • Affective computing • Empirical studies of user behaviour • Empirical studies of programming and software engineering • Computer supported cooperative work • Computer mediated communication • Virtual reality • Mixed and augmented Reality • Intelligent user interfaces • Presence ...
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