Cesare Tucci
Biographic Data
| ID | 9669056 |
|---|---|
| NAME | Cesare Tucci |
| GIVEN NAMES | Cesare |
| FAMILY NAME | Tucci |
| SIGNATURE | TUCCI C |
| AFFILIATIONS | University of Salerno |
| ORCID | 0000-0001-5181-7115 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Understanding user mental models in AI-driven code completion tools
Integrated Development Environments increasingly implement AI-powered code completion tools (CCTs), which promise to enhance developer efficiency, accuracy, and productivity. However, interaction challenges with CCTs persist, mainly due to mismatches between developers’ mental models and the unpredictable behavior of AI-generated suggestions, which is an aspect underexplored in the literature. We conducted an elicitation study with 56 developers …
Believe in Artificial Intelligence? A User Study on the ChatGPT’s Fake Information Impact
Technological evolution has enabled the development of new artificial intelligence (AI) models with generative capabilities. Among them, one of the most discussed is the virtual agent ChatGPT. This chatbot may occasionally produce fake information, as also declared by the producer OpenAI. Such a model may provide very useful support in several tasks, ranging from text summarization to programming. The research community has marginally investigate…
No prominent works on this page.
Believe in Artificial Intelligence? A User Study on the ChatGPT’s Fake Information Impact
Technological evolution has enabled the development of new artificial intelligence (AI) models with generative capabilities. Among them, one of the most discussed is the virtual agent ChatGPT. This chatbot may occasionally produce fake information, as also declared by the producer OpenAI. Such a model may provide very useful support in several tasks, ranging from text summarization to programming. The research community has marginally investigate…
Understanding user mental models in AI-driven code completion tools
Integrated Development Environments increasingly implement AI-powered code completion tools (CCTs), which promise to enhance developer efficiency, accuracy, and productivity. However, interaction challenges with CCTs persist, mainly due to mismatches between developers’ mental models and the unpredictable behavior of AI-generated suggestions, which is an aspect underexplored in the literature. We conducted an elicitation study with 56 developers …
Computer Science (2 works) · AI in Service Interactions (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence in Healthcare and Education (1 work) · Cognitive science (1 work) · Computer security (1 work) · Data science (1 work) · Ethics and Social Impacts of AI (1 work) · Human–computer interaction (1 work) · Mental model (1 work)