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David J. King

Lecturer

  • 130 Citations
  • 7 h-Index
19992019

Research output per year

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Personal profile

Personal profile

I graduated from the University of Abertay in 1995 with a BEng (Hons) Electronic and Electrical Engineering and went on to get a PhD in Power System Protection using Neural Networks at Robert Gordon University in 2000.

I returned to Abertay as a Research Assistant working on fuzzy control for a pumped storage hydro plant. In 2003 I was appointed as a teaching fellow and in 2006 became a lecturer. At that time my teaching responsibilities moved from engineering into the computer games area and I was the Programme Tutor for the new BSc (Hons) Computer Game Application Development from 2008 to 2011.

I was made the Director of Academic Programmes for the School of Engineering, Computing & Applied Mathematics in 2011 and have now moved to the School of Design and Informatics after university restructuring in 2013. I am currently also seconded to the Director of Teaching and Learning Enhancement (TLE) and am involved in taking forward the TLE agenda for the university. In particular I led the development of the university's CPD framework under the 'Going for Gold' banner and am a mentor and assessor for the scheme.

In 2007 I gained a PGCert in Higher Education Teaching and in 2014 I became a Senior Fellow of the Higher Education Academy.

I am also a member of the SICSA AI Group and the SHED SIG for Managers of HEA accredited CPD schemes.

Teaching

Lecturer in Artificial Intelligence and Mathematics in BSc (Hons.) Computer Game Application Develop, BSc (Hons) Computer Games Technology, BSc (Hons) Computing, MSc Computer Games Technology and MProf Games Development.

Research interests

My research interests are in the practical applications of Artificial Intelligence (AI).

In particular I have been involved in the use of Artificial Neural Networks in Power System Protection, and Fuzzy Inference Systems in the control of a Hydro Power Plant.

I am interested in extending these applications in other areas, such as Computer Games Technology, Power Systems Management and Intelligent and Smart Systems.

I am particularly interested in using Affective Computing techniques to improve game AI, particularly the interactions between players and game characters so that these interactions include an emotional element. This involves finding unobtrusive ways to detect players' emotions and using them to influence game mechanices, realistically modelling emotions in game characters and then closing the Affective Loop by having these emotions affected by, and realistic portrayed to, the player.

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Research Output

  • 130 Citations
  • 7 h-Index
  • 23 Conference contribution
  • 2 Abstract
  • 2 Article

Affective games: adaptation and design

Hamdy, S. & King, D. J., 20 Sep 2019, 20th International Conference on Intelligent Games and Simulation: GAME-ON'2019. Grigg, R. (ed.). Ostend: EUROSIS, p. 11-18 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
  • Implementing drama management for improved player agency in interactive storytelling

    McEvoy, C. & King, D. J., 20 Sep 2019, 20th International Conference on Intelligent Games and Simulation: GAME-ON'2019. Grigg, R. (ed.). Ostend: EUROSIS, p. 63-66 4 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    File
  • Affective games: a multimodal classification system

    Hamdy, S. & King, D., 29 Aug 2018, GAME-ON'2018: 19th annual European Conference on Simulation and AI in Computer Games. King, D. (ed.). EUROSIS, 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    File
  • Affect and believability in game characters: a review of the use of affective computing in games

    ElSayed, S. & King, D. J., 24 Aug 2017, Game-On’17: the 18th International Conference on Intelligent Games and Simulation. Kehoe, J. (ed.). EUROSIS, p. 90-97 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    File
  • An investigation of two real time machine learning techniques that could enhance the adaptability of game AI agents

    King, D. J. & Bennett, C., 30 Sep 2016, Proceedings of GAMEON'2016: the 17th International Conference on Intelligent Games and Simulation. Barabas, H. (ed.). EUROSIS, p. 41-48 9 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    File