A Data-driven Statistical Approach to Customer Behaviour Analysis and Modelling in Online Freemium Games
Thesis
Singh Roy, A. A Data-driven Statistical Approach to Customer Behaviour Analysis and Modelling in Online Freemium Games. (Thesis)
Edinburgh Napier University. Retrieved from http://researchrepository.napier.ac.uk/Output/2090355
The video games industry is one of the most attractive and lucrative segments in the entertainment and digital media, with big business of more than $150 billion worldwide. A ...
Constructing and Evaluating Visualisation Task Classifications: Process and Considerations
Journal Article
Kerracher, N., & Kennedy, J. (2019)
Constructing and Evaluating Visualisation Task Classifications: Process and Considerations. Computer Graphics Forum, 36(3), 47-59. https://doi.org/10.1111/cgf.13167
Categorising tasks is a common pursuit in the visualisation research community, with a wide variety of taxonomies, typologies, design spaces, and frameworks having been develo...
The efficacy of Euler diagrams and linear diagrams for visualizing set cardinality using proportions and numbers
Journal Article
Stapleton, G., Chapman, P., Rodgers, P., Touloumis, A., Blake, A., & Delaney, A. (2019)
The efficacy of Euler diagrams and linear diagrams for visualizing set cardinality using proportions and numbers. PLOS ONE, 14(3), https://doi.org/10.1371/journal.pone.0211234
This paper presents the first empirical investigation that compares Euler and linear diagrams when they are used to represent set cardinality. A common approach is to use area...
Automated strategic visualisations and user confidence
Thesis
Le Bras, P. (2019)
Automated strategic visualisations and user confidence. (Thesis). Heriot-Watt University. Retrieved from http://researchrepository.napier.ac.uk/Output/2884475
Data visualisations aim at providing accessible and interpretable information for people. At a strategic level, such representations can be used to stimulate decision making. ...
Lightweight Reinforcement Learning for Energy Efficient Communications in Wireless Sensor Networks
Journal Article
Savaglio, C., Pace, P., Aloi, G., Liotta, A., & Fortino, G. (2019)
Lightweight Reinforcement Learning for Energy Efficient Communications in Wireless Sensor Networks. IEEE Access, 7, 29355-29364. https://doi.org/10.1109/access.2019.2902371
High-density communications in wireless sensor networks (WSNs) demand for new approaches to meet stringent energy and spectrum requirements. We turn to reinforcement learning,...
Analyzing Objective and Subjective Data in Social Sciences: Implications for Smart Cities
Journal Article
Erhan, L., Ndubuaku, M., Ferrara, E., Richardson, M., Sheffield, D., Ferguson, F. J., …Liotta, A. (2019)
Analyzing Objective and Subjective Data in Social Sciences: Implications for Smart Cities. IEEE Access, 7, 19890-19906. https://doi.org/10.1109/access.2019.2897217
The ease of deployment of digital technologies and the Internet of Things gives us the opportunity to carry out large-scale social studies and to collect vast amounts of data ...
A New Approach for Patent Use in Student Design Engineering Projects
Conference Proceeding
Maclachlan, R., Wodehouse, A., & Vasantha, G. (2018)
A New Approach for Patent Use in Student Design Engineering Projects. In Design Education: Diversity or Conformity? Proceedings of the 20th International Conference on Engineering and Product Design Education (E&PDE18)
This paper presents a new philosophy for patent use in student design projects; patents are more valuable when viewed as creative and learning resources rather than as a list ...
A Probabilistic Design Reuse Index
Conference Proceeding
Vasantha, G., Sherlock, A., Corney, J., & Quigley, J. (2018)
A Probabilistic Design Reuse Index. In ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
The benefits of being able to create a number of product variations from a limited range of components, or sub-assemblies, are widely recognized. Indeed it is clear that compa...
Feature-preserving detailed 3D face reconstruction from a single image
Conference Proceeding
Li, Y., Ma, L., Fan, H., & Mitchell, K. (2018)
Feature-preserving detailed 3D face reconstruction from a single image. In CVMP '18 Proceedings of the 15th ACM SIGGRAPH European Conference on Visual Media Productionhttps://doi.org/10.1145/3278471.3278473
Dense 3D face reconstruction plays a fundamental role in visual media production involving digital actors. We improve upon high fidelity reconstruction from a single 2D photo ...
Multi-reality games: an experience across the entire reality-virtuality continuum
Conference Proceeding
Casas, L., Ciccone, L., Çimen, G., Wiedemann, P., Fauconneau, M., Sumner, R. W., & Mitchell, K. (2018)
Multi-reality games: an experience across the entire reality-virtuality continuum. In Proceedings of the VRCAI2018https://doi.org/10.1145/3284398.3284411
Interactive play can take very different forms, from playing with physical board games to fully digital video games. In recent years, new video game paradigms were introduced ...