Andrea Esposito

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Research

I study how people and AI systems can work together: AI that augments human abilities instead of replacing them, and that people can understand, question, and trust.

Research interests

  1. Human-Centered and Symbiotic AI

    Designing AI systems that augment people instead of replacing them, keeping humans in control.

  2. Human-AI Interaction

    Studying how people perceive, use, and trust AI, including the mental models they build of it.

  3. Explainable AI

    Making the behavior of AI models understandable to the people who rely on them.

  4. Conversational AI and Knowledge Graphs

    LLM-based assistants that make complex scientific knowledge accessible through natural language.

  5. Usability, UX, and Accessibility

    Evaluating and improving interactive systems so that they work well for everyone.

Recent publications

All publications →
  1. Journal

    Explanation User Interfaces: A Systematic Literature Review

    Eleonora Cappuccio, Andrea Esposito, Francesco Greco, Giuseppe Desolda, Rosa Lanzilotti, Salvatore Rinzivillo

    ACM Computing Surveys

    Open access 10.1145/3834765
    Cite
    Eleonora Cappuccio, Andrea Esposito, Francesco Greco, Giuseppe Desolda, Rosa Lanzilotti, and Salvatore Rinzivillo. 2026. Explanation User Interfaces: A Systematic Literature Review. ACM Computing Surveys (October 2026), 3834765. DOI:10.1145/3834765
    Details →
  2. Workshop International

    Explanation-Driven Visual Interventions in Genomics

    Andrea Esposito, Paolo Buono, Rosa Lanzillotti

    Proceedings of the Workshop on Trustable, Reproducible, and Intelligent Information Visualization Systems (TRI-IVIS 2026)

    Open access
    Cite
    Andrea Esposito, Paolo Buono, and Rosa Lanzillotti. 2026. Explanation-Driven Visual Interventions in Genomics. In Proceedings of the Workshop on Trustable, Reproducible, and Intelligent Information Visualization Systems (TRI-IVIS 2026) (CEUR Workshop Proceedings), CEUR-WS, Venice, Italy. URL: ceur-ws.org/Vol-4227/paper8.pdf
    Details →
  3. Journal

    Conversational AI for Digital Accessibility: An Experimental Study Involving Blind and Low Vision Users

    Andrea Esposito, Rosa Lanzilotti, Maristella Matera, Antonio Piccinno, Ludovica Piro, Emanuele Pucci, Grazia Ragone

    International Journal of Human–Computer Interaction

    Open access 10.1080/10447318.2026.2659951
    Cite
    Andrea Esposito, Rosa Lanzilotti, Maristella Matera, Antonio Piccinno, Ludovica Piro, Emanuele Pucci, and Grazia Ragone. 2026. Conversational AI for Digital Accessibility: An Experimental Study Involving Blind and Low Vision Users. International Journal of Human–Computer Interaction (May 2026), 1–24. DOI:10.1080/10447318.2026.2659951
    Details →

Recent talks

All talks →
  • Explanation-Driven Visual Interventions in Genomics

    Workshop on Trustable, Reproducible, and Intelligent Information Visualization Systems (TRI-IVIS 2026) co-located with the 18th International Conference on Advanced Visual Interfaces (AVI 2026)

  • Beyond Automation: Embracing Symbiotic AI for Meaningful Human Agency and Skill Preservation

    AutomationXP26 Workshop at CHI’26: Agentic Automation Experiences—Rethinking the Interaction of Humans and AI Agents

  • PhD Viva—A Human–AI Interaction Model: Leveraging Human-Centred Design for Symbiotic AI

    PhD Viva at the University of Bari Aldo Moro