With the growing use of generative artificial intelligence in digital games, whether AI-driven non-player characters (NPCs) can improve player experience and further shape continued play intention has become an important question for game design and user research. This study examines whether self-learning generative AI NPCs influence game loyalty through game immersion. A quasi-experimental between-subjects design and a retrospective questionnaire were used to compare players who had interacted with self-learning generative AI NPCs in the past three months with players who had only interacted with traditional scripted NPCs. Based on 195 valid responses, the AI NPC group reported significantly higher game immersion and game loyalty than the traditional NPC group. Mediation analysis using PROCESS Model 4 further showed that game immersion significantly mediated the relationship between NPC type and game loyalty. The findings suggest that the value of generative AI NPCs lies not only in the technology itself, but also in whether adaptive and natural interaction can enhance immersion and thereby relate to continued play and recommendation intention. Given the non-random grouping and self-reported data, the findings should be interpreted cautiously.
The method, ECCOLA, is presented, which aims at making the high-level AI ethics principles more practical, making it possible for developers to more easily implement them in practice.
Ville Vakkuri, Kai-Kristian Kemell, P. Abrahamsson· EUROMICRO Conference on Soft...· 64 citations· ⚡6
The goal is to not only refine the accuracy of the LLM-based tool but also to underscore its potential in streamlining the software development lifecycle through proactive code improvement and education.
Z. Rasheed, Malik Abdul Sami, Muhammad Waseem et al.· arXiv.org· 62 citations· ⚡3
A comprehensive overview of how enhanced sampling methods are reshaping the field, with a particular focus on the data-driven construction of collective variables, is provided.
Kai Zhu, Enrico Trizio, Jintu Zhang et al.· Chemical Reviews· 58 citations
The use of large language models to automatically improve the user story quality in Austrian Post Group IT agile teams is explored, with a reference model for an Autonomous LLM-based Agent System developed and implemented at the company.
Zheying Zhang, M. Rayhan, Tomas Herda et al.· International Conference on...· 48 citations· ⚡4
This paper introduces a novel multi-AI-agent system designed to fully automate SLRs, and demonstrates how it substantially reduces the time and effort traditionally required for SLRs while maintaining comprehensiveness and precision.
Abdul Malik Sami, Z. Rasheed, Kai-Kristian Kemell et al.· arXiv.org· 44 citations· ⚡2
The proposed LLM-based multi-agent system automates qualitative data analysis process, creating opportunities for researchers and practitioners, and future improvements focus on enhancing multilingual performance and integrating continuous expert feedback.
Z. Rasheed, Muhammad Waseem, Aakash Ahmad et al.· arXiv.org· 41 citations
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MIT News · Artificial Intelligence· news.mit.eduOct 1, 2026
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