Titlebook: Artificial Intelligence in HCI; 5th International Co Helmut Degen,Stavroula Ntoa Conference proceedings 2024 The Editor(s) (if applicable)

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Megan R. Underhill,Makenna K. Clarkata from an information source and in providing responses consistent with detecting a change in that source’s reliability. When more complex patterns are presented, however, the LLMs tested failed and overall provided responses that were non-human-like in a number of ways.

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Trends in household expenditure over time,EfficientNetV2 are assigned to this Facial Emotion Recognition (FER) task during the experiment. EfficientNetV2 is proved to be more robust in FER outperforming other candidate models achieving validation accuracy, recall and F1 score of 88.23%, 88.61% and 88.19% respectively.

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https://doi.org/10.1007/978-1-349-99582-0ant to outmaneuver rivals and push them out of a ring or arena, necessitating a symbiotic interaction between human controllers and robot hardware and software. It is particularly created for fighting tournaments, filling a distinct niche in this industry. As the field progresses, the concept of eas

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Family Stories, Poetry and Women‘s Worktial for robots to autonomously assess and navigate unfamiliar environments, enhancing their adaptability and efficiency. The study’s significance lies in its contributions to advancing adaptive robotics, improving cost-efficiency, enhancing safety, and conducting simulation-based training to reduce

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Melodrama

Using a LLM-Based Conversational Agent in the Social Robot Minito the proliferation of the Large Language Models (LLM). Conversational agents have already been integrated with smartphones, smart speakers, or social robots (SRs). Unlike the mentioned electronic devices, a social robot allows more active and closer user engagement due to the presence of a physica

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A Proposal to Extend the Modeling Language for Interaction as Conversation for the Design of Conversan-Computer Interaction (HCI). Among them, there is a need for more research into whether existing HCI dialogue models apply to conversational agents. Our research focuses on MoLIC (Modeling Language for Interaction as Conversation), a design phase dialogue model based on Semiotic Engineering theory