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支持中断管理和多模态界面设计:三项任务绩效的元分析,作为中断任务模态的函数。

Supporting interruption management and multimodal interface design: three meta-analyses of task performance as a function of interrupting task modality.

机构信息

Department of Industrial and Operations Engineering, Center for Ergonomics, University of Michigan, Ann Arbor, USA.

出版信息

Hum Factors. 2013 Aug;55(4):697-724. doi: 10.1177/0018720813476298.

DOI:10.1177/0018720813476298
PMID:23964412
Abstract

OBJECTIVE

The aim of this study was to integrate empirical data showing the effects of interrupting task modality on the performance of an ongoing visual-manual task and the interrupting task itself. The goal is to support interruption management and the design of multimodal interfaces.

BACKGROUND

Multimodal interfaces have been proposed as a promising means to support interruption management.To ensure the effectiveness of this approach, their design needs to be based on an analysis of empirical data concerning the effectiveness of individual and redundant channels of information presentation.

METHOD

Three meta-analyses were conducted to contrast performance on an ongoing visual task and interrupting tasks as a function of interrupting task modality (auditory vs. tactile, auditory vs. visual, and single modality vs. redundant auditory-visual). In total, 68 studies were included and six moderator variables were considered.

RESULTS

The main findings from the meta-analyses are that response times are faster for tactile interrupting tasks in case of low-urgency messages.Accuracy is higher with tactile interrupting tasks for low-complexity signals but higher with auditory interrupting tasks for high-complexity signals. Redundant auditory-visual combinations are preferable for communication tasks during high workload and with a small visual angle of separation.

CONCLUSION

The three meta-analyses contribute to the knowledge base in multimodal information processing and design. They highlight the importance of moderator variables in predicting the effects of interruption task modality on ongoing and interrupting task performance.

APPLICATIONS

The findings from this research will help inform the design of multimodal interfaces in data-rich, event-driven domains.

摘要

目的

本研究旨在整合显示中断任务模态对正在进行的视觉-手动任务及其中断任务本身性能的影响的经验数据。目的是支持中断管理和多模态界面的设计。

背景

多模态界面已被提出作为支持中断管理的一种有前途的手段。为了确保这种方法的有效性,需要基于对有关单个和冗余信息呈现渠道的有效性的经验数据的分析来设计它们。

方法

进行了三项荟萃分析,以对比正在进行的视觉任务和中断任务的性能,其中断任务模态(听觉与触觉、听觉与视觉以及单模态与冗余听觉-视觉)。总共包括 68 项研究,并考虑了六个调节变量。

结果

荟萃分析的主要发现是,在低紧急消息的情况下,触觉中断任务的响应时间更快。对于低复杂度信号,触觉中断任务的准确性更高,但对于高复杂度信号,听觉中断任务的准确性更高。在高工作负载和小视角分离的情况下,冗余的听觉-视觉组合更适合通信任务。

结论

这三项荟萃分析有助于丰富多模态信息处理和设计的知识库。它们强调了在预测中断任务模态对正在进行的和中断任务性能的影响时,调节变量的重要性。

应用

这项研究的结果将有助于为数据丰富、事件驱动的领域中的多模态界面设计提供信息。

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