Addressing attentional issues in augmented reality with adaptive agents: Possibilities and challenges

IF 5.3 2区计算机科学 Q1 COMPUTER SCIENCE, CYBERNETICS

International Journal of Human-Computer Studies Pub Date : 2024-07-01 DOI:10.1016/j.ijhcs.2024.103324

Brandon Victor Syiem , Ryan M. Kelly , Tilman Dingler , Jorge Goncalves , Eduardo Velloso

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引用次数: 0

Abstract

Recent work on augmented reality (AR) has explored the use of adaptive agents to overcome attentional issues that negatively impact task performance. However, despite positive technical evaluations, adaptive agents have shown no significant improvements to user task performance in AR. Furthermore, previous works have primarily evaluated such agents using abstract tasks. In this paper, we develop an agent that observes user behaviour and performs appropriate actions to mitigate attentional issues in a realistic sense-making task in AR. We employ mixed methods to evaluate our agent in a between-subject experiment (N=60) to understand the agent’s effect on user task performance and behaviour. While we find no significant improvements in task performance, our analysis revealed that users’ preferences and trust in the agent affected their receptiveness of the agent’s recommendations. We discuss the pitfalls of autonomous agents and highlight the need to shift from designing better Human–AI interactions to better Human–AI collaborations.

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用自适应代理解决增强现实中的注意力问题：可能性与挑战

最近有关增强现实（AR）的研究探索了自适应代理的使用，以克服对任务性能产生负面影响的注意力问题。然而，尽管技术评估结果良好，自适应代理在增强现实中对用户任务表现的改善并不明显。此外，以前的工作主要是通过抽象任务对这类代理进行评估。在本文中，我们开发了一种代理，它可以观察用户行为并执行适当的操作，以减轻 AR 中现实感知任务中的注意力问题。我们采用混合方法在主体间实验（N=60）中对代理进行评估，以了解代理对用户任务表现和行为的影响。虽然我们没有发现任务性能有明显改善，但我们的分析表明，用户的偏好和对代理的信任会影响他们对代理建议的接受程度。我们讨论了自主代理的陷阱，并强调需要从设计更好的人机交互转向更好的人机协作。

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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来源期刊

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 ...