Dr Ioannis Doumanis
Lecturer in Computing
School of Engineering and Computing
Ioannis teaches across a range of subjects for our computing team. With particular expertise in Human-Computer Interaction (HCI), experimental methods and evaluation, requirements and design, Ioannis has led the UX of international collaborative projects with universities and industry. He has authored more than 30 articles and is a regular reviewer for several journals and books (e.g., IEEE Games, and the International Conference on Human-Computer Interaction). Ioannis is an Associate Fellow of the Higher Education Academy. Ioannis also supervises postgraduate projects in computing and human-centred cybersecurity.
As a Lecturer, Ioannis leads a number of modules related to Human-Computer Interaction (HCI) and Software Engineering. His responsibilities include but are not limited to:
• Carry out teaching in modules related to the above areas
• Prepare teaching and learning materials
• Integrate research into teaching
• Design appropriate assessment instruments to assess students’ work.
Ioannis has published in several journals including Computers and Education (Impact Factor: 5,296), Personal and Ubiquitous Computing (Impact Factor: 2.212), ACM International Journal of Network Management (Impact Factor: 1.338). He has also presented in several conferences including the IEEE International Conference of the Immersive Learning Research Network, ACM Pocket Video Workshop and SPIE (International Society for Optics and Photonics). Currently, Ioannis research efforts focus on the learning sciences and on optimising student performance on the Web through the use of Artificial Intelligence (AI) technologies and Human Factors design principles.
Ioannis has extensive teaching and research experience in academia and industry. Ioannis has 16 years’ experience in teaching and learning roles and 10 years’ experience in industry and consultancy roles. Ioannis has led and taught various computing modules at both undergraduate and postgraduate levels. His teaching and learning expertise includes significant programme leadership experience. Ioannis worked in the industry as a software developer before moving onto UX research lead in collaborative research projects funded by the UK and European Union. Before joining UCLan, Ioannis worked in the industry as a postdoctoral researcher on the POINT (iP Over IcN - the betTer ip) project. As part of the project, he led an international group of researchers (consisting of universities and companies) investigating the user experience of conventional (e.g., online digital video) and emerging multimedia services (e.g., VR video narratives and Smart city games). Alongside his research, Ioannis continued teaching as a visiting Lecturer in Computing at various London-based universities. Ioannis graduated from Bradford University with an Honours Degree in Telecommunications and Multimedia Systems. He was awarded a PhD in 2013 in Human-Computer Interaction and Serious Games.
- PhD Computing, Middlesex University, 2013
- BEng (Hons) Telecommunications and Multimedia Systems, University of Bradford, 1999
- Artificial Intelligence in Education (AIEd)
- Immersive Learning in VR/AR/XR
- Serious Games/Gamification
- Web/Mobile applications (including smart city games)
- HCI/UX Research
- QoE Research
- Biometric Research
- Associate Fellow of Higher Education Academy
Web 2.0 has made it possible for groups of students to engage in online collaborative learning activities. This educational approach to teaching and learning involves groups of students working together to solve a problem or complete a task. Most of these activities take place asynchronously using multimedia content (e.g., video, audio and text) on a web-based platform (e.g., VoiceThread). However, the absence of support (e.g., from an expert instructor) can have a detrimental impact on the learning experience and quality of learning outcomes. The goal of this project is to explore ways in which conversational AI (Artificial Intelligence) can be used to support students in all stages of the collaborative learning process. Such a conversational AI can have the role of an expert (e.g., that provides targeted support at the right time) or a virtual peer (e.g., that offers alternative points to stimulate reflection). I will use user-centred design to develop conversational AIs having both roles and explore their impact in various problem-based learning scenarios. Problem-based learning is a common pedagogical approach within a number of disciplines (e.g., medical and business). However, the project will focus on students of computing and psychology. I will run multiple studies in the lab with both undergraduate and postgraduate students. The first round of studies will focus on gathering insights to guide the design of a conversational AI. The second round will focus on measuring the impact of conversational AI using biometrics (e.g., eye tracking and EEG data). Ultimately, I would like to integrate AI-supported problem-based learning activities in the teaching and learning of my modules at UCLan.
Use the links below to view their profiles:
- Child Computer Interaction Group (ChiCI)
- Immersive Learning Research Network
- TELFest North West
- International Packet Video Workshop Series
- European Conference on Networks and Communication
- Workshop on Eye Gaze in Intelligent Human-Machine Interaction: Eye-Gaze & Multimodality
Use the links below to view their profiles: