Organisers
Alan Dix
Alan, J, Dix is Director of the Computational Foundry at Swansea University, Professorial Fellow at Cardiff Metropolitan University and general chair for EICS 2023. He has worked at the boundaries of HCI and AI over many years including co-founding an intelligent internet interface start-up in the dot-com years and more than 30 years ago publishing on the dangers of social, gender and racial bias in black-box machine learning algorithms [5] as well as speaking more recently on the topic [6]. Amongst other things, he is currently writing a book on AI for HCI and a second edition of an earlier AI textbook [7].
Sven Mayer
Sven Mayer is an assistant professor of computer science at LMU Munich (Germany). His research sits at the intersection between Human-Computer Interaction and Artificial Intelligence, where he focuses on the next generation of computing systems. He uses artificial intelligence to design, build, and evaluate future human-centered interfaces. In particular, he envisions enabling humans to outperform their performance in collaboration with the machine. He focuses on areas such as augmented and virtual reality, mobile scenarios, and robotics. He has served as a program committee member at numerous conferences, e.g., ACM CHI, and in various organizing committees, e.g., as General Chair for the International Conference on Hybrid Human-Artificial Intelligence (HHAI’23).
Philippe Palanque
Philippe Palanque is Professor in Computer Science at the University Toulouse 3 "Paul Sabatier" in Toulouse France. Since the late 80s he has been working on the development and application of formal description techniques for interactive system. For more than 20 years he has been working on automation and its integration in interactive systems [4]. For instance, he was involved in the research network HALA! (Higher Automation Levels in Aviation) funded by SESAR programme which targeted at building the future European air traffic management system. The main driver of Philippe's research over the last 20 years has been to address in an even way Usability, Safety and Dependability [3] in order to build trustable safety critical interactive systems. As for conferences, he is a member of the program committee of conferences in these domains such as SAFECOMP 2023 (42nd Conference on Computer Safety, Reliability and Security), DSN 2014 (44th conference on Dependable Systems and Networks), EICS 2023 (15th annual conference on Engineering Interactive Computing Systems).
Emanuele Panizzi
Emanuele Panizzi Emanuele Panizzi is an Associate Professor in Computer Science at Sapienza University of Rome, Italy. He directs a research team focusing on human-computer interaction, app design, gamification, and context-aware mobile interaction. In the two areas of smart parking and earthquake detection, his current study uses AI to recognise users' behaviour and context. Designing mobile user interfaces with implicit interaction and crowdsensing applications is the experimental component of this study. He served as the conference's program chair for Advanced Visual Interfaces AVI2022. He is currently serving as Associate Chair for ACM AutomotiveUI '23. He teaches HCI and software architecture. He has served as a consultant for major national and international corporations.
Lucio Davide Spano
Lucio Davide Spano is an Associate Professor at the Univerity of Cagliari since 2019. He is chair of the IFIP 2.7/13.4 WG on User Interface Engineering since June 2022 and Delegate for the Research of the Extended Committee of SIGCHI-Italy. He has been a member of the Model-Based User Interface WG of the World Wide Web Consortium (W3C). He has been Programme Co-Chair for ACM Intelligent User Interfaces in 2020, and an associate editor for a special issue in ACM Transactions on Intelligent Interactive Systems. He is a member of the Senior Programme Committee of high-level international conferences in Human-Computer Interaction (e.g., IUI, INTERACT, EICS, NordiCHI). He is currently investigating the relationship between the logic reasoning style (inductive, abductive, deductive) in eXplainable AI (XAI) interfaces. He published results considering image, text [1] and temporal series [2] data types.