OPEN SPACE,
OPEN MIND

List of faculty members

FRANK, Ian Professor

FRANK, Ian Professor

Affiliation:

Department of Complex and Intelligent Systems、 Intelligent Information Science Field

Research Fields

AI, games, entertainment, education innovation, wayfinding

研究キーワード

“Wayfinding”: computational, educational, organisational, societal

Academic Background

Electro Technical Laboratory

Subjects in Charge (Undergraduate)

Basic AI, Autonomous Systems, AI Programming II, (C Programming, 2007-2025)

Subjects in Charge (Graduate School)

History & Future of Intelligent Systems

Degree

PhD, Edinburgh University

Message for Students

We are what we repeatedly do. Read widely, involve yourself in the world and see the changes, differences, and patterns of connection. Allow yourself to dream. You will find your own “voice”.

Research Contents

An interdisciplinary stance, with a foundation in Artificial Intelligence. I was a member of the DReaM Group (Discovery and Reasoning in Mathematics) at Edinburgh University, where my PhD research was on computer game playing and how to automatically explain a computer՚s choices to humans, winning a national Distinguished Dissertation award. Students in my lab work on algorithms for games, machine learning, online worlds, education, and a wide range of applications including audio and video.

Some research questions:

  • How can we create information processing tools that help humans and computers collaborate?
  • How do people think, and how can research in areas such as cognitive science and neuroscience be fed back into the improvement of education and critical thinking skills?
  • In what ways can information processing technology, or human thinking mindsets, be employed to better the lives of people, both in the local community and over the world?

The design notion of “wayfinding” is a guiding framework for my thinking, providing a coherent and integrated perspective. The space between the words “human” and “information processing” is becoming increasingly virtual: how can we understand and navigate this space, through experience?

Collaborations

I have published across diverse fields, including artificial intelligence, theoretical computer science, education, cognitive science and social science. I welcome students with varied interests as a way of finding new combinations of ideas. My work is characterised by a constant exchange between research and practical endeavours in the real world. Current interests include AI and education, learner agency, games and interactive systems, educational infrastructure, and the use of low-code and DX tools to support teaching, research and organisational practice.

Alongside my academic work, I have extensive experience in educational training and event design. As Festival Director of the World Music and Dance Festival, working under the theme of “Long Now”, I have developed approaches that emphasise global and long-term thinking. I have also applied low-code and digital tools to online courses, video-based healthcare training, research management, and the operation of large-scale events.

The design concept of “wayfinding” provides a connecting idea across these activities: helping people understand where they are, where they might go, and how they can navigate there. I apply this idea broadly across research, education and organisational design, particularly where technology changes the relationship between human agency, information and action.

Achievements

I was part of the team that was awarded the RoboCup Scientific Challenge award two years in a row, and my PhD thesis chosen as a winner of the UK Distinguished Dissertations Award. I regularly teach thinking skills workshops inspired by readings in cognitive science (see the Related Links at the foot of this page).

Selected Writings