OGNIBENE, DIMITRI

OGNIBENE, DIMITRI  

DIPARTIMENTO DI PSICOLOGIA  

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Risultati 1 - 20 di 79 (tempo di esecuzione: 0.036 secondi).
Titolo Tipologia Data di pubblicazione Autori File
Combining electrodermal activity analysis and dynamic causal modeling to investigate the visual-odor multimodal integration during face perception 01 - Articolo su rivista 2024 Bossi, FOgnibene, D +
Embedding Educational Narrative Scripts in a Social Media Environment 01 - Articolo su rivista 2024 Ognibene D. +
Empowering Users and Mitigating Harm: Leveraging Nudging Principles to Enhance Social Media Safety 02 - Intervento a convegno 2024 Donabauer G.Lomonaco F.Bursic S.Ognibene D. +
Exploring how the geometry of the representation space influences curiosity-based exploration 02 - Intervento a convegno 2024 Ognibene, D +
Exploring undergraduates' attitudes towards ChatGPT. Is AI resistance constraining the acceptance of chatbot technology? 02 - Intervento a convegno 2024 Ognibene, D +
Exploring Undergraduates’ Attitudes Towards ChatGPT. Is AI Resistance Constraining the Acceptance of Chatbot Technology? 02 - Intervento a convegno 2024 Ognibene D. +
Generalizability analysis of deep learning predictions of human brain responses to augmented and semantically novel visual stimuli 02 - Intervento a convegno 2024 Patania, SVizzari, GOgnibene , D +
In Search of Compositional Multi-Task Deep Architectures for Information Theoretic Field Exploration 02 - Intervento a convegno 2024 Masiero E.Bursic S.Vizzari G.Ognibene D. +
Large Language Models as an active Bayesian filter: information acquisition and integration 02 - Intervento a convegno 2024 Patania, SMasiero, EOgnibene, DDonabauer, G +
Modeling Social Media Recommendation Impacts Using Academic Networks: A Graph Neural Network Approach (SHORT paper) 02 - Intervento a convegno 2024 Guidotti, SDonabauer, GOgnibene, D +
Multi-UAV active sensing for precision agriculture via Bayesian fusion 02 - Intervento a convegno 2024 Ognibene D. +
The emotional impact of generative AI: negative emotions and perception of threat 01 - Articolo su rivista 2024 Gabbiadini, AOgnibene, DBaldissarri, CManfredi, A
VON NEUMIDAS: Enhanced Annotation Schema for Human-LLM Interactions Combining MIDAS with Von Neumann Inspired Semantics 02 - Intervento a convegno 2024 Martinenghi, AKoyuturk, CAmenta, SOgnibene, DDonabauer, G +
AI and Narrative Scripts to Educate Adolescents About Social Media Algorithms: Insights About AI Overdependence, Trust and Awareness 02 - Intervento a convegno 2023 Lomonaco F.Donabauer G.Ognibene D. +
Challenging social media threats using collective well-being-aware recommendation algorithms and an educational virtual companion 01 - Articolo su rivista 2023 Dimitri OgnibeneRodrigo WilkensGregor DonabauerFrancesco LomonacoSathya Bursic +
Computational models of behavioral addictions: State of the art and future directions 01 - Articolo su rivista 2023 Ognibene D. +
Developing Effective Educational Chatbots with ChatGPT prompts: Insights from Preliminary Tests in a Case Study on Social Media Literacy (with appendix) 02 - Intervento a convegno 2023 Cansu KoyuturkMona YavariSathya BursicGregor DonabauerAlessia TelariAlessia TestaAlessandro GabbiadiniDimitri Ognibene +
Developing Effective Educational Chatbots with ChatGPT prompts: Insights from Preliminary Tests in a Case Study on Social Media Literacy 02 - Intervento a convegno 2023 Koyuturk C.Yavari M.Bursic S.Donabauer G.Telari A.Testa A.Gabbiadini A.Ognibene D. +
Empirically Investigating Virtual Learning Companions to Enhance Social Media Literacy 02 - Intervento a convegno 2023 Lomonaco, FOgnibene, D +
Exploration and Comparison of Deep Learning Architectures to Predict Brain Response to Realistic Pictures 02 - Intervento a convegno 2023 Vizzari, GOgnibene, D +