Interaction Design With Multi-Objective Bayesian Optimization

IF 1.6 4区 计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS IEEE Pervasive Computing Pub Date : 2023-01-01 DOI:10.1109/MPRV.2022.3230597
Yi-Chi Liao, John J. Dudley, George B. Mo, Chun-Lien Cheng, Liwei Chan, A. Oulasvirta, P. Kristensson
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引用次数: 2

Abstract

Interaction design typically involves challenging decision making that requires designers to consider multiple parameters and careful tradeoffs between various objectives. This article examines how AI can facilitate the process of interaction design by offloading some of the complex decision making required of designers. We study how multi-objective Bayesian optimization can be used to support designers when creating a tactile display for smart watches. We present the results of a study that explores how such human–AI collaboration afforded by multi-objective Bayesian optimization can be exploited by designers, and the advantages and disadvantages this solution offers over conventional design practice.
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基于多目标贝叶斯优化的交互设计
交互设计通常涉及具有挑战性的决策制定,要求设计师考虑多个参数,并在各种目标之间仔细权衡。本文将探讨AI如何通过卸载设计师所需要的一些复杂决策来促进交互设计过程。我们研究了如何使用多目标贝叶斯优化来支持设计师为智能手表创建触觉显示。我们展示了一项研究的结果,该研究探讨了设计师如何利用多目标贝叶斯优化提供的这种人类-人工智能协作,以及这种解决方案相对于传统设计实践的优点和缺点。
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来源期刊
IEEE Pervasive Computing
IEEE Pervasive Computing 工程技术-电信学
CiteScore
4.10
自引率
0.00%
发文量
47
审稿时长
>12 weeks
期刊介绍: IEEE Pervasive Computing explores the role of computing in the physical world–as characterized by visions such as the Internet of Things and Ubiquitous Computing. Designed for researchers, practitioners, and educators, this publication acts as a catalyst for realizing the ideas described by Mark Weiser in 1988. The essence of this vision is the creation of environments saturated with sensing, computing, and wireless communication that gracefully support the needs of individuals and society. Many key building blocks for this vision are now viable commercial technologies: wearable and handheld computers, wireless networking, location sensing, Internet of Things platforms, and so on. However, the vision continues to present deep challenges for experts in areas such as hardware design, sensor networks, mobile systems, human-computer interaction, industrial design, machine learning, data science, and societal issues including privacy and ethics. Through special issues, the magazine explores applications in areas such as assisted living, automotive systems, cognitive assistance, hardware innovations, ICT4D, manufacturing, retail, smart cities, and sustainability. In addition, the magazine accepts peer-reviewed papers of wide interest under a general call, and also features regular columns on hot topics and interviews with luminaries in the field.
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Low-Cost Sensing for Environmental Sustainability A Framework for Evaluating the Security and Privacy of Smart-Home Devices, and its Application to Common Platforms Co-Designing Accessible Computer and Smartphone Input Using Physical Computing The Future of Consumer Edge-AI Computing An App-Assisted Frontend of Robot Gait Training System for Lower Limb Rehabilitation
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