Alan Dix

Alan Dix is an internationally renowned expert in human-computer interaction (HCI). He currently serves as the Director of the College of Computer Science at Swansea University, leading the Computational Foundry initiative, which aims to advance world-class research for societal benefit. With over 40 years of experience in the field of HCI, he is one of its founding figures and authored the seminal textbook Human-Computer Interaction. He has published more than 500 research papers on topics such as formal methods, mobile interfaces, privacy protection, and biases in AI. In 2013, he was inducted as an ACM SIGCHI Fellow, the highest honor in HCI research. His career spans both academia and industry, including positions at the University of Birmingham, Lancaster University, and working as a Senior Researcher at Talis. His research covers diverse areas, from agricultural technology to digital humanities, with an emphasis on the intersection of technology and social equity.

• 2018–Present·Swansea University·Director of Computational Foundry
  • Leading the Computational Foundry to drive social and economic impact through computing, focusing on AI, big data, and socially equitable applications of digital technology.
• 2012–2018·University of Birmingham·Professor
  • Taught and conducted research at the HCI Centre, including HCI theory, mobile interactions, and learning analytics, while leading workshops on revolutionizing HCI education technologies.
• 2010–2017·Talis·Senior Researcher
  • Worked on commercial research projects, developed educational technologies and intelligent web interfaces, and advanced the digitization of academic resources.
• 2000–2012·Lancaster University·Professor
  • Taught in the Computing Department, researching formal methods, CSCW (Computer-Supported Cooperative Work), and physical interaction systems, and published numerous foundational papers.

• Detailed education background not provided, but mentioned studies at Cambridge University in Mathematics (Maths Tripos, completed in 2 years) with early exposure to computer science.