Browsing School of Electronic Engineering and Computer Science by Author "Tokarchuk, L"
Now showing items 1-20 of 32
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Actions, not gestures: Contextualising embodied controller interactions in immersive virtual reality
Ratcliffe, J; Ballou, N; Tokarchuk, L (2021-12-08)Modern immersive virtual reality (IVR) often uses embodied controllers for interacting with virtual objects. However, it is not clear how we should conceptualise these interactions. They could be considered either gestures, ... -
Compressing and Comparing the Generative Spaces of Procedural Content Generators
Withington, O; Tokarchuk, L; IEEE Conference on Games (CoG) (2022-09-20)The past decade has seen a rapid increase in the level of research interest in procedural content generation (PCG) for digital games, and there are now numerous research avenues focused on new approaches for driving and ... -
Compressing and Comparing the Generative Spaces of Procedural Content Generators
Withington, O; Tokarchuk, L (2022-05-30) -
Compressing and Comparing the Generative Spaces of Procedural Content Generators.
Withington, O; Tokarchuk, L (IEEE, 2022)The past decade has seen a rapid increase in the level of research interest in procedural content generation (PCG) for digital games, and there are now numerous research avenues focused on new approaches for driving and ... -
Detecting Group Formations using iBeacon Technology
Katevas, K; Haddadi, H; Tokarchuk, L; Clegg, RG; Machinery, AC (2016) -
Developing a play-anywhere handheld AR storytelling app using remote data collection
Raeburn, G; Welton, M; Tokarchuk, L (2022) -
Editorial: Remote XR user studies
Tokarchuk, L; Ratcliffe, J; Hoover, M; Men, L; Ortega, FR; Bryan-Kinns, N (Frontiers, 2023) -
Editorial: Remote XR user studies.
Tokarchuk, L; Ratcliffe, J; Hoover, M; Men, L; Ortega, FR; Bryan-Kinns, N (2023) -
Effects of Valence and Arousal on Working Memory Performance in Virtual Reality Gaming
Gabana, D; Tokarchuk, L; Hannon, E; Gunes, H; IEEE (2017) -
Evidence for embodied cognition in immersive virtual environments using a second language learning environment
Ratcliffe, J; Tokarchuk, L; 2020 IEEE Conference on Games (CoG) -
Exploring Minecraft Settlement Generators with Generative Shift Analysis
Hervé, J-B; Withington, O; Hervé, M; Tokarchuk, L; Salge, C (2023-09-11) -
Exploring Minecraft Settlement Generators with Generative Shift Analysis.
Hervé, J-B; Withington, O; Hervé, M; Tokarchuk, L; Salge, C (CEUR-WS.org, 2023) -
Exploring user motor behaviour in bimanual interactive video games
Perez, NP; Tokarchuk, L; Burdet, E; Farkhatdinov, I; IEEE Conference on Computatonal Intelligence and Game (2019-08-01)Video games have proved very valuable in rehabilitation technologies. They guide therapy and keep patients engaged and motivated. However, in order to realize their full potential, a good understanding is required of the ... -
Extended Reality (XR) Remote Research: a Survey of Drawbacks and Opportunities
Ratcliffe, J; Soave, F; Bryan-Kinns, N; Tokarchuk, L; Farkhatdinov, I (ACM, 2021-05)Extended Reality (XR) technology - such as virtual and augmented reality - is now widely used in Human Computer Interaction (HCI), social science and psychology experimentation. However, these experiments are predominantly ... -
Finding Dory in the Crowd: Detecting Social Interactions using Multi-Modal Mobile Sensing
Katevas, K; Hansel, K; Clegg, R; Leontiadis, I; Haddadi, H; Tokarchuk, L; Machinery, AC (2019) -
Harnessing Phenotypic Diversity towards Multiple Independent Objectives
Smith, D; Tokarchuk, L; Wiggins, G (2016) -
Identifying Relevant Event Content for Real-time Event Detection
Wang, X; Tokarchuk, L; Poslad, S (2014) -
MADNS: Multiple Assessment Directed Novelty Search
Smith, D; Wiggins, G; Tokarchuk, L; The Genetic and Evolutionary Computation Conference -
Measuring Affective, Physiological and Behavioural Differences in Solo, Competitive and Collaborative Games
Arellano, DG; Tokarchuk, L; Gunes, H (2017) -
Modelling player preferences in AR mobile games
Warriar, VR; Woodward, JR; Tokarchuk, L; IEEE Conference on Computatonal Intelligence and Game (2019-08-01)© 2019 IEEE. In this paper, we use preference learning techniques to model players' emotional preferences in an AR mobile game. This exploratory study uses player behaviour to make these preference predictions. The described ...