GamificationLab

Prof. Emanuele Panizzi, PI

Available theses

Master’s degree theses (updated: May 2024)

Revolutionizing Short Distance Estimation by Harnessing Deep Learning and Inertial Measurement Unit’s Data
~~Integrating LLMs in Non-Player Characters (NPCs) in videogames~~
GPS-denied Vehicle Localization Integrating Inertial Data with Map-Matching Embeddings
Creating a Basic Movements Dataset: Refining Signals with Generative AI
Creating a Basic Movements Dataset: Emulating Signals with Generative AI
Validating Location Synthetic Data Leveraging Adversarial Networks and LLMs
Generating Location Synthetic Data Leveraging Adversarial Networks and LLMs

Bachelor’s Degree Internships (Updated: May 2024)

prerequisites: (IUM || HCI) && WASA

Developing a model-based sensor in a smart-parking mobile app: IMU sensors
Utilizing Large Language Models for the Generation of Synthetic Location-Based Data
Assessing Usability and Information Gain in Implicit Natural User Interfaces
Utilizing Large Language Models for Generating Personas in UI Testing

Latest publications

Conference Paper - AVI 24 (accepted): Stefano Zeppieri, Alba Bisante, Emanuele Panizzi, Gabriella Trasciatti and Venkata Srikanth Varma Datla (2024) Enhancing Interface Design with AI: An Exploratory Study on a ChatGPT-4-Based Tool for Cognitive Walkthrough Inspired Evaluations Accepted at Advanced Visual Interfaces 2024, Genova, Italy, June 3-7 2024
Journal Article - SSCR: Antenore, M., Camacho Rodriguez, J. M., & Panizzi, E. (2023). A Comparative Study of Bot Detection Techniques With an Application in Twitter Covid-19 Discourse. Social Science Computer Review. https://doi.org/10.1177/08944393211073733
Conference Paper - SIGCHI 23: Bisante, A., Dix, A., Panizzi, E., & Zeppieri, S. (2023, September). To err is AI. In Proceedings of the 15th Biannual Conference of the Italian SIGCHI Chapter (pp. 1-11). https://doi.org/10.1145/3605390.3605414
Conference Paper - SIGCHI 23: Bassetti, E., Cavallaccio, G., De Marsico, M., & Panizzi, E. (2023, September). Poster: Human Presence Detection After Earthquakes: An AI-Based Implicit User Interface on the Smartphone. In Proceedings of the 15th Biannual Conference of the Italian SIGCHI Chapter (pp. 1-4). https://doi.org/10.1145/3605390.3610832
Conference Paper - AUTOUI 23: Bisante, A., Panizzi, E., & Zeppieri, S. (2023, September). Cruising-for-Parking Detection on the Smartphone Based on Implicit Interaction and Machine Learning. In 15th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (pp. 93-102). https://doi.org/10.1145/3580585.3607162
Journal Article - FGCS: Luciani, A.; Panizzi, E. Street Direction Classification using Implicit Vehicle Crowdsensing and Deep Learning Accepted for publication on Future Generation Computer Systems, 2023 https://doi.org/10.1016/j.future.2023.07.015

Projects

Grand Tour Afam, funded by MUR, 2024-2026
MICS, PNRR PE11, 2023-2026
SANLO, funded by DTC Lazio, 2020-2024
SeismoCloud, funded by Istituto Nazionale di Geofisica e Vulcanologia (INGV) 2029-2022
ProDoc, funded by Sapienza ARU, 2020-2024
HERMES, funded by DTC Lazio, 2020-2024
Generocity, partially funded by Sapienza Ateneo 2019

People

Prof. Emanuele Panizzi, Associate Professor, Head

Contract Professor

Prof. Francesco Lutrario

PhD Students

Alba Bisante
Stefano Zeppieri
Varma Venkata Srikanth Datla
Gabriella Trasciatti
José Camacho Rodriguez, Intern from Universidad Autónoma de Madrid (UAM). April-July 2024

Honor program students

Elena Jang

Master thesis students

Saurabh Bharat Nagarkar, Erasmus Intern from Artificial Intelligence program at UPC (Universitat Politècnica de Catalunya) - March-July 2024

Past members

Enrico Bassetti, PhD, Master’s student, PhD student, and Post-Doc from 2018 to February 2024

Past visiting professors

Prof. Alan Dix, Swansea University, Wales - October-November 2022