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Titlebook: Artificial Intelligence in HCI; Second International Helmut Degen,Stavroula Ntoa Conference proceedings 2021 Springer Nature Switzerland AG

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31#
發(fā)表于 2025-3-27 00:36:47 | 只看該作者
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發(fā)表于 2025-3-27 03:31:11 | 只看該作者
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發(fā)表于 2025-3-27 09:00:50 | 只看該作者
From a Workshop to a Framework for Human-Centered Artificial Intelligencetand the current and potentially future research activities, a workshop “AI in HCI” took place as part of the first AI in HCI conference. The intent of the workshop was twofold: to explore the research landscape of AI in HCI with current and potentially future research topics, as well as building th
34#
發(fā)表于 2025-3-27 11:15:58 | 只看該作者
Collaborative Human-AI Sensemaking for Intelligence Analysis are often data- or algorithm-centric and opaque, and do not support the complexities of analyst sensemaking. An exploratory sensitivity analysis was conducted with a simple Authorship Attribution (AA) task to identify the degree to which an analyst can apply their sensemaking outputs as inputs to a
35#
發(fā)表于 2025-3-27 17:14:17 | 只看該作者
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發(fā)表于 2025-3-27 20:48:53 | 只看該作者
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發(fā)表于 2025-3-28 00:16:09 | 只看該作者
Putting a Face on Algorithms: Personas for Modeling Artificial Intelligenceonas are commonly used in design practices for modelling users. We argue that the personification of AI agents can help multidisciplinary teams in understanding and designing systems that include AI agents. We propose a process for creating AI personas and the properties they should include, and rep
38#
發(fā)表于 2025-3-28 05:00:12 | 只看該作者
39#
發(fā)表于 2025-3-28 07:56:41 | 只看該作者
40#
發(fā)表于 2025-3-28 11:44:30 | 只看該作者
https://doi.org/10.1007/978-3-030-03216-6t a design science research methodology and IS theoretical lens to develop and evaluate design principles, which align fraud expert’s tasks with explanation methods for Explainable AI decision support. We evaluate the utility of these principles using an information quality framework to interview ex
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