1. Introduction
2. Users and Context
3. Design
4. Evaluation
5. Implementation and Deployment
6. Social, Ethical and Political Implications
7. Fundamental Theories
8. Research Methods
Biography
Alan Dix is Professor Emeritus at Cardiff Metropolitan University and at Swansea University. He started his academic career as a mathematician and was part of the British team to the International Mathematical Olympiad in 1978. However, he is best known for his work in human–computer interaction (HCI), including writing one of the key textbooks in the area. He was elected to the ACM SIGCHI Academy in 2013 and is a Fellow of the Learned Society of Wales. Outside academia, Alan has been co-founder of two dot-com era tech companies, developed intelligent lighting and worked in local government and even submarine design.
In every role, Alan seeks to understand and innovate in all aspects where people and technology meet. He has often been prescient in recognising the implications of digital technology, in 1990 writing the first paper on privacy within the HCI literature, in 1992 predicting the potential danger of ethnic, gender and socio-economic bias in black-box machine learning algorithms, and in 1995 the first journal paper on mobile HCI.
Alan writes and talks extensively on the connections between computers, artificial intelligence and human issues, both in terms of individual user interfaces and also social implications. This has included leading the algorithmic social justice theme within the UK Not-Equal programme and participating in the European TANGO project on synergistic human–AI decision making.
His other books include Artificial Intelligence: humans at the heart of algorithms (second edition published in June 2025), Human–Computer Interaction (with Janet Finlay, Gregory Abowd and Russell Beale), one of the key international textbooks in the area; TouchIT: Understanding Design in a Physical-Digital World (with Steve Gill, Devina Ramduny-Ellis and Jo Hare) on the design of physical-digital products; and Statistics for HCI: Making Sense of Quantitative Data. He is also completing two books in the for CRC/Taylor \& Francis AI for Everything series, AI for Social Justice (with Clara Crivellaro) and AI for HCI.
