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与墙对话:语音交互在协作式视觉分析中的作用

Talk to the Wall: The Role of Speech Interaction in Collaborative Visual Analytics.

作者信息

Leon Gabriela Molina, Bezerianos Anastasia, Gladin Olivier, Isenberg Petra

出版信息

IEEE Trans Vis Comput Graph. 2025 Jan;31(1):941-951. doi: 10.1109/TVCG.2024.3456335. Epub 2024 Nov 25.

DOI:10.1109/TVCG.2024.3456335
PMID:39250400
Abstract

We present the results of an exploratory study on how pairs interact with speech commands and touch gestures on a wall-sized display during a collaborative sensemaking task. Previous work has shown that speech commands, alone or in combination with other input modalities, can support visual data exploration by individuals. However, it is still unknown whether and how speech commands can be used in collaboration, and for what tasks. To answer these questions, we developed a functioning prototype that we used as a technology probe. We conducted an in-depth exploratory study with 10 participant pairs to analyze their interaction choices, the interplay between the input modalities, and their collaboration. While touch was the most used modality, we found that participants preferred speech commands for global operations, used them for distant interaction, and that speech interaction contributed to the awareness of the partner's actions. Furthermore, the likelihood of using speech commands during collaboration was related to the personality trait of agreeableness. Regarding collaboration styles, participants interacted with speech equally often whether they were in loosely or closely coupled collaboration. While the partners stood closer to each other during close collaboration, they did not distance themselves to use speech commands. From our findings, we derive and contribute a set of design considerations for collaborative and multimodal interactive data analysis systems. All supplemental materials are available at https://osf.io/8gpv2.

摘要

我们展示了一项探索性研究的结果,该研究关注在协作意义构建任务中,两人如何在墙式显示屏上与语音指令和触摸手势进行交互。先前的研究表明,语音指令单独使用或与其他输入方式结合使用时,可以支持个体进行视觉数据探索。然而,语音指令能否以及如何用于协作,以及适用于哪些任务,仍然未知。为了回答这些问题,我们开发了一个可用的原型,并将其用作技术探针。我们对10对参与者进行了深入的探索性研究,以分析他们的交互选择、输入方式之间的相互作用以及他们的协作情况。虽然触摸是使用最多的方式,但我们发现参与者在进行全局操作时更喜欢使用语音指令,利用语音指令进行远距离交互,并且语音交互有助于了解合作伙伴的行动。此外,在协作过程中使用语音指令的可能性与宜人性的人格特质有关。关于协作风格,无论参与者是处于松散耦合还是紧密耦合的协作中,他们使用语音的频率是相同的。虽然在紧密协作中伙伴们站得更近,但他们不会为了使用语音指令而拉开距离。基于我们的研究结果,我们得出并贡献了一组针对协作式和多模态交互式数据分析系统的设计考量。所有补充材料可在https://osf.io/8gpv2获取。

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