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Titlebook: Artificial Intelligence in HCI; First International Helmut Degen,Lauren Reinerman-Jones Conference proceedings 2020 Springer Nature Switze

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發(fā)表于 2025-3-23 12:31:56 | 只看該作者
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發(fā)表于 2025-3-24 00:21:30 | 只看該作者
Conference proceedings 2020f the 22nd International Conference on Human-Computer Interaction, HCII 2020, in July 2020. The conference was planned to be held in Copenhagen, Denmark, but had to change to a virtual conference mode due to the COVID-19 pandemic.??..The conference presents results from academic and industrial resea
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發(fā)表于 2025-3-24 02:50:38 | 只看該作者
https://doi.org/10.1007/978-1-349-13306-2ble datasets. Results indicate an average performance increase of 4.84% in F1 scores relative to the baseline. We then analyze how the personas differ by their detected personality traits and discuss how personality traits could be implemented in data-driven persona profiles, as either scores or narratives.
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發(fā)表于 2025-3-24 07:29:56 | 只看該作者
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發(fā)表于 2025-3-24 12:31:48 | 只看該作者
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發(fā)表于 2025-3-24 15:11:16 | 只看該作者
Towards Increased Transparency with?Value Sensitive Designnable AI, both among practitioners and in academia, with contributions from diverse fields such as computer science, human-computer interaction, law, and philosophy. Using the Value Sensitive Design (VSD) method as a point of departure, this paper explores how VSD can be used in the context of trans
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發(fā)表于 2025-3-24 21:16:58 | 只看該作者
A Method for Quickly Establishing?Personas points that users face. At present, there are two main ways to establish personas. One is to generate personas qualitatively or quantitatively through interviews, questionnaires, etc. These processes are related to the experiences of analysts and the statistical methods used, usually resulting in d
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發(fā)表于 2025-3-25 02:20:00 | 只看該作者
The Role of Behavioral Anthropomorphism in Human-Automation Trust Calibrationlibration” as an apt design goal– user trust should be at an appropriate level given a system’s reliability. One factor in user trust is the degree to which a system is perceived as humanlike, or anthropomorphic. However, relevant prior work does not explicitly characterize trust appropriateness, an
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