標(biāo)題: Titlebook: Artificial Intelligence in HCI; 5th International Co Helmut Degen,Stavroula Ntoa Conference proceedings 2024 The Editor(s) (if applicable) [打印本頁] 作者: Diverticulum 時間: 2025-3-21 16:28
書目名稱Artificial Intelligence in HCI影響因子(影響力)
書目名稱Artificial Intelligence in HCI影響因子(影響力)學(xué)科排名
書目名稱Artificial Intelligence in HCI網(wǎng)絡(luò)公開度
書目名稱Artificial Intelligence in HCI網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Artificial Intelligence in HCI被引頻次
書目名稱Artificial Intelligence in HCI被引頻次學(xué)科排名
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書目名稱Artificial Intelligence in HCI讀者反饋
書目名稱Artificial Intelligence in HCI讀者反饋學(xué)科排名
作者: Calculus 時間: 2025-3-21 23:44 作者: 老巫婆 時間: 2025-3-22 03:29 作者: 比目魚 時間: 2025-3-22 06:55
A Map of?Exploring Human Interaction Patterns with?LLM: Insights into?Collaboration and?Creativitylminating in a detailed and insightful representation of the research landscape. Overall, our review presents an novel approach, introducing a distinctive mapping method, specifically tailored to evaluate human-LLM interaction patterns. We conducted a comprehensive analysis of the current research i作者: MORT 時間: 2025-3-22 12:39
The Use of?Large Language Model in?Code Review Automation: An Examination of?Enforcing SOLID PrincipOLID principles. An important characteristic of this method is the incorporation of Mixtral, which may be operated on-site, providing advantages in terms of data confidentiality and operational adaptability, essential for global enterprises with strict privacy demands. Here, we explores the bot’s ar作者: originality 時間: 2025-3-22 15:12 作者: allergy 時間: 2025-3-22 20:56 作者: Dedication 時間: 2025-3-22 23:07 作者: LANCE 時間: 2025-3-23 04:28
Large Language Models for Tracking Reliability of Information Sourcesata 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.作者: 托人看管 時間: 2025-3-23 06:44
The Heuristic Design Innovation Approach for?Data-Integrated Large Language Modeling industry, constructing a heuristic design innovation method that incorporates information from award-winning works. By fusing design data with LLM, this study developed DIABot, a heuristic design innovation tool based on LLMs, inspired by the ReAct method. Combining extensive design data, DIABot作者: 苦惱 時間: 2025-3-23 11:57
FER-Pep: A Deep Learning Based Facial Emotion Recognition Framework for?Humanoid Robot PepperEfficientNetV2 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.作者: Eosinophils 時間: 2025-3-23 16:37 作者: 不成比例 時間: 2025-3-23 19:10 作者: 隱藏 時間: 2025-3-23 22:51 作者: chapel 時間: 2025-3-24 04:28 作者: 仲裁者 時間: 2025-3-24 06:56
Family Punishment in Nazi Germany to model relevant aspects of conversational agents. To evaluate the extension proposed we conducted a case study, in which we applied the extended version of MoLIC in a reverse engineering modeling of an existing chatbot, the chatbot for the Superior Electoral Court (TSE) of Brazil. Our results sho作者: FUME 時間: 2025-3-24 13:29
Family Resilience and Chronic Illnessng agents with an auto-agent leveraging LLMs’ natural language understanding (NLU) capabilities, designed using the OTC process pattern applied to conversational UX frameworks. A prototype of the setup aims to streamline operations and reduce errors by enhancing the user experience during key OTC st作者: 吹牛需要藝術(shù) 時間: 2025-3-24 18:35
Family Resilience and Chronic Illnesslminating in a detailed and insightful representation of the research landscape. Overall, our review presents an novel approach, introducing a distinctive mapping method, specifically tailored to evaluate human-LLM interaction patterns. We conducted a comprehensive analysis of the current research i作者: farewell 時間: 2025-3-24 19:07 作者: 進步 時間: 2025-3-25 03:12 作者: Bronchial-Tubes 時間: 2025-3-25 04:41 作者: 制定法律 時間: 2025-3-25 08:02 作者: 商品 時間: 2025-3-25 12:29
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.作者: 貪婪地吃 時間: 2025-3-25 16:28 作者: wall-stress 時間: 2025-3-25 20:59
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.作者: locus-ceruleus 時間: 2025-3-26 02:20
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作者: 剛開始 時間: 2025-3-26 06:56
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作者: 攝取 時間: 2025-3-26 11:18 作者: Melodrama 時間: 2025-3-26 12:57
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作者: Nausea 時間: 2025-3-26 18:12
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作者: RODE 時間: 2025-3-26 23:51
Optimizing Conversational Commerce Involving Multilingual Consumers Through Large Language Models’ Nd customer service, NLP-enabled AI agents are being integrated into various steps of the order-to-cash (OTC) process. Social media and messaging platforms such as Facebook Messenger have become pivotal for businesses, especially during and after the COVID-19 pandemic, but adoption has been limited. 作者: glacial 時間: 2025-3-27 02:34
A Map of?Exploring Human Interaction Patterns with?LLM: Insights into?Collaboration and?Creativityconsiderable discussion within the Human-AI Interaction (HAII) community. Numerous studies explore this interaction from technical, design, and empirical perspectives. However, the majority of current literature reviews concentrate on interactions across the wider spectrum of AI, with limited attent作者: GUMP 時間: 2025-3-27 05:44 作者: graphy 時間: 2025-3-27 11:17 作者: Grandstand 時間: 2025-3-27 13:38
Enabling Human-Centered Machine Translation Using Concept-Based Large Language Model Prompting and Tg instructions, interactive concept-based post-editing, and the archiving of concepts in post-editing and translation memories. By implementing GPT-4 prompts for concept-based steering in English-to-Chinese translation, we explore its effectiveness compared to traditional machine translation methods作者: Hypopnea 時間: 2025-3-27 21:28 作者: 遺傳 時間: 2025-3-27 22:55
ChatGPT and?Language Translation, meanwhile, has a storied history of evolving in response to ever-improving Machine Translation (MT). In the interest of comparing this new tool to existing human and Neural Machine Translation (NMT) tools, this study presents a focused examination of translation, comparing the ability of ChatGPT, 作者: 涂掉 時間: 2025-3-28 04:02 作者: Assault 時間: 2025-3-28 10:11 作者: 諷刺 時間: 2025-3-28 13:17
FER-Pep: A Deep Learning Based Facial Emotion Recognition Framework for?Humanoid Robot Pepperin the domain of human-robot communication. A key component in doing this is the robot’s aptitude to perceive and understand human emotional states. In the larger domains of human-machine interaction and affective computing, emotion detection has received a lot of attention. In this research, an imp作者: 谷類 時間: 2025-3-28 14:34
You Got the?Feeling: Attributing Affective States to?Dialogical Social Robotsgrees of dialogical complexity), the perceived difference in emotion attribution and understanding by the human users interacting with them. In particular, in our case study, the most complex dialogical modality - using a emotional content to vehiculate its messages - has been based entirely on the 作者: 縱火 時間: 2025-3-28 20:09
Enhancing Usability of?Voice Interfaces for?Socially Assistive Robots Through Deep Learning: A Germare the user to learn specific speech commands or sentence patterns to use them. This property does not satisfy usability heuristics and causes current language interfaces to underachieve the naturalness of language interaction. To address this issue, we developed a voice interface that is capable of作者: 啞劇 時間: 2025-3-29 00:47 作者: 暴行 時間: 2025-3-29 03:37
Adaptive Robotics: Integrating Robotic Simulation, AI, Image Analysis, and Cloud-Based Digital Twin ge analysis, and cloud-based storage of digital twin simulations. The primary objective is to enable robots to dynamically assess their surroundings using AI and pre-simulated data to make informed decisions in unfamiliar scenarios. An autonomous mobile robot platform capable of simulation-based nav作者: 記憶 時間: 2025-3-29 10:38 作者: APNEA 時間: 2025-3-29 13:10 作者: COKE 時間: 2025-3-29 16:02
Enhancing Relation Extraction from?Biomedical Texts by?Large Language Modelsn biomedical relation extraction tasks. We further show that entity explanations that are generated by LLMs can improve the performance of the classification-based relation extraction in the biomedical domain. Our proposed model achieved an F-score of 85.61% on the DDIExtraction-2013 dataset, which is competitive with the state-of-the-art models.作者: nettle 時間: 2025-3-29 19:44
https://doi.org/10.1007/978-1-349-99582-0adoption of a Large Language Model (i.e. chatGPT in our case) whilst the simplest one has been based on a manual simplification of the generated text. We report the obtained results based on the adoption of a number tests and standardized scales and highlight some possibile future directions.作者: Freeze 時間: 2025-3-30 00:54 作者: tariff 時間: 2025-3-30 04:08 作者: anniversary 時間: 2025-3-30 08:46
Enhancing Large Language Models Through External Domain Knowledgestep the artifact is developed based on requirements deducted from literature. Eventually, the functionality of the artifact is demonstrated as a proof-of-concept in a case study. The research contributes an initial approach for effective and grounded knowledge transfer, which minimizes the risk of hallucination from LLM-generated content. 作者: Foreknowledge 時間: 2025-3-30 14:39 作者: avarice 時間: 2025-3-30 16:54 作者: Onerous 時間: 2025-3-30 21:06
You Got the?Feeling: Attributing Affective States to?Dialogical Social Robotsadoption of a Large Language Model (i.e. chatGPT in our case) whilst the simplest one has been based on a manual simplification of the generated text. We report the obtained results based on the adoption of a number tests and standardized scales and highlight some possibile future directions.作者: grounded 時間: 2025-3-31 04:53
Conference proceedings 2024e in HCI, AI-HCI 2024, held as part of the 26th International Conference, HCI International 2024, which took place in Washington, DC, USA, during June 29-July 4, 2024...The total of 1271 papers and 309 posters included in the HCII 2024 proceedings was carefully reviewed and selected from 5108 submis作者: 擦試不掉 時間: 2025-3-31 07:40
https://doi.org/10.1007/978-3-031-60615-1Artificial Intelligence in HCI; Human-Centered Artificial Intelligence; Dialogue systems; Language mode作者: 老巫婆 時間: 2025-3-31 10:40 作者: 窗簾等 時間: 2025-3-31 14:28
Artificial Intelligence in HCI978-3-031-60615-1Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: Seizure 時間: 2025-3-31 19:01
Parenting Roles and Relationships,s that leverage LLMs: (1) relation extraction via in-context few-shot learning with LLMs, (2) enhancing the sequence-to-sequence (seq2seq)-based full fine-tuned relation extraction by CoT reasoning explanations generated by LLMs, (3) enhancing the classification-based full fine-tuned relation extrac
