同来核对 发表于 2025-3-25 06:17:59

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FLOAT 发表于 2025-3-25 11:26:12

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公猪 发表于 2025-3-25 13:34:14

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Expostulate 发表于 2025-3-25 18:44:01

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光明正大 发表于 2025-3-25 20:41:54

Philosophy and the Cambridge Apostlesf optical camera images using machine learning, and obtain reliable gesture recognition without additional sensors. We then employ an avatar to prompt users to learn and use gestures to communicate. Finally, to understand how well gestures serve as interaction methods, we compare the studied gesture

初次登台 发表于 2025-3-26 03:08:26

https://doi.org/10.1057/9781137007940of dominant and non-dominant hands in tapping tasks for touch-based mobile interfaces. We set out with the expectation that throughput for a dominant digit would exceed that for the corresponding digit of the other hand. We reveal that this was followed in the case of right-handed users for both for

词汇 发表于 2025-3-26 08:09:05

Edward Lear’s Travels in Nonsense and Europe speed and highlighting with a sound guide. We measure the effect of these components on the perceived fatigue, presence, difficulty, success and helpfulness. Our findings indicate that an irregular and slow rhythm leads to a lower arm fatigue. We also find that such an irregular rhythm could increa

裹住 发表于 2025-3-26 09:39:19

https://doi.org/10.1007/978-1-349-13986-6rategies for discrete input, whereas releasing the bend is used to confirm continuous input. However, the simplest form of these strategies does not allow the rejection of unwanted or unintended input and bi-directional manipulation of the output parameter before confirming continuous input. This wo

PALSY 发表于 2025-3-26 14:44:32

https://doi.org/10.1007/978-3-030-93791-1commerce). This research examines trust mechanisms based on the buyers’ perspectives in Saudi Arabia and how social platforms can be better designed to enhance trust. Two studies were conducted to achieve the aims: co-design workshops undertaken to develop and finalize design recommendations, and th

细胞 发表于 2025-3-26 20:19:20

https://doi.org/10.1007/978-1-349-00352-5s employ both vision-based and bio-sensing data to design multi-modal recognition systems. However, these approaches require tremendous domain-specific knowledge, complex pre-processing steps and fail to take full advantage of the end-to-end nature of deep learning techniques. This paper proposes a
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查看完整版本: Titlebook: Human-Computer Interaction – INTERACT 2021; 18th IFIP TC 13 Inte Carmelo Ardito,Rosa Lanzilotti,Kori Inkpen Conference proceedings 2021 IFI