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

Diverticulum

书目名称Artificial Intelligence in HCI影响因子(影响力)




书目名称Artificial Intelligence in HCI影响因子(影响力)学科排名




书目名称Artificial Intelligence in HCI网络公开度




书目名称Artificial Intelligence in HCI网络公开度学科排名




书目名称Artificial Intelligence in HCI被引频次




书目名称Artificial Intelligence in HCI被引频次学科排名




书目名称Artificial Intelligence in HCI年度引用




书目名称Artificial Intelligence in HCI年度引用学科排名




书目名称Artificial Intelligence in HCI读者反馈




书目名称Artificial Intelligence in HCI读者反馈学科排名

Calculus

老巫婆

比目鱼

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

MORT

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

originality

allergy

Dedication

LANCE

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.

托人看管

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