Outputs (12)

Applying the Right UX based on Users' Needs and Future Trends of UX (2024)
Presentation / Conference Contribution
Cameron, J. (2024, October). Applying the Right UX based on Users' Needs and Future Trends of UX. Presented at BINUS Business School International Lecture Week 2024, Jakarta, Indonesia and online

This lecture by Dr Jackie Cameron, an experienced digital marketing lecturer at Edinburgh Napier University, provides a comprehensive overview of user experience (UX) principles and their application in digital marketing contexts. Covering key defini... Read More about Applying the Right UX based on Users' Needs and Future Trends of UX.

Excess deaths at home: engagement with service providers (2021)
Presentation / Conference Contribution
Mahoney, C., Garcia-Lopez, Y., & Atherton, I. (2021, August). Excess deaths at home: engagement with service providers. Presented at Scottish Bereavement Steering Group 2021, Glasgow, UK

A tool for generating synthetic data (2018)
Presentation / Conference Contribution
Peng, T., & Telle, A. (2018, October). A tool for generating synthetic data. Presented at DATA '18 First International Conference on Data Science, E-learning and Information Systems, Madrid, Spain

It is popular to use real-world data to evaluate data mining techniques. However, there are some disadvantages to use real-world data for such purposes. Firstly, real-world data in most domains is difficult to obtain for several reasons, such as budg... Read More about A tool for generating synthetic data.

The REAL Corpus: a crowd-sourced corpus of human generated and evaluated spatial references to real-world urban scenes (2016)
Presentation / Conference Contribution
Bartie, P., Mackaness, W., Gkatzia, D., & Rieser, V. (2016, May). The REAL Corpus: a crowd-sourced corpus of human generated and evaluated spatial references to real-world urban scenes. Presented at 10th International Conference on Language Resources and Evaluation (LREC)

We present a newly crowd-sourced data set of natural language references to objects anchored in complex urban scenes (In short: The REAL Corpus – Referring Expressions Anchored Language). The REAL corpus contains a collection of images of real-world... Read More about The REAL Corpus: a crowd-sourced corpus of human generated and evaluated spatial references to real-world urban scenes.

From the Virtual to the RealWorld: Referring to Objects in Real-World Spatial Scenes (2015)
Presentation / Conference Contribution
Gkatzia, D., Rieser, V., Bartie, P., & Mackaness, W. (2015, September). From the Virtual to the RealWorld: Referring to Objects in Real-World Spatial Scenes. Presented at 2015 Conference on Empirical Methods in Natural Language Processing, Lisbon

Predicting the success of referring expressions (RE) is vital for real world applications such as navigation systems. Traditionally, research has focused on studying Referring Expression Generation (REG) in virtual, controlled environments. In this p... Read More about From the Virtual to the RealWorld: Referring to Objects in Real-World Spatial Scenes.

A Game-Based Setup for Data Collection and Task-Based Evaluation of Uncertain Information Presentation (2015)
Presentation / Conference Contribution
Gkatzia, D., Cercas Curry, A., Rieser, V., & Lemon, O. (2015, September). A Game-Based Setup for Data Collection and Task-Based Evaluation of Uncertain Information Presentation. Presented at 15th European Workshop on Natural Language Generation (ENLG 2015), University of Brighton, Brighton, UK

Decision-making is often dependent on uncertain data, e.g. data associated with confidence scores, such as probabilities. A concrete example of such data is weather data. We will demo a game-based setup for exploring the effectiveness of different ap... Read More about A Game-Based Setup for Data Collection and Task-Based Evaluation of Uncertain Information Presentation.

A Snapshot of NLG Evaluation Practices 2005 - 2014 (2015)
Presentation / Conference Contribution
Gkatzia, D., & Mahamood, S. (2015, September). A Snapshot of NLG Evaluation Practices 2005 - 2014. Presented at Proceedings of the 15th European Workshop on Natural Language Generation (ENLG), University of Brighton Brighton, UK

In this paper we present a snapshot of endto-end NLG system evaluations as presented in conference and journal papers1 over the last ten years in order to better understand the nature and type of evaluations that have been undertaken. We find that re... Read More about A Snapshot of NLG Evaluation Practices 2005 - 2014.

Generating and Evaluating Landmark-Based Navigation Instructions in Virtual Environments (2015)
Presentation / Conference Contribution
Cercas Curry, A., Gkatzia, D., & Rieser, V. (2015, September). Generating and Evaluating Landmark-Based Navigation Instructions in Virtual Environments. Presented at 15th European Workshop on Natural Language Generation (ENLG 2015), University of Brighton, Brighton, UK

Referring to landmarks has been identified to lead to improved navigation instructions. However, a previous corpus study suggests that human “wizards” also choose to refer to street names and generate user-centric instructions. In this paper, we cond... Read More about Generating and Evaluating Landmark-Based Navigation Instructions in Virtual Environments.

An approach to using a laser pointer as a mouse (2015)
Presentation / Conference Contribution
Aizeboje, J., & Peng, T. (2015, April). An approach to using a laser pointer as a mouse. Presented at 17th International Conference on Enterprise Information Systems

Modern technologies have evolved to present different ways users can interact with computers. Nowadays, computers and projectors are commonly used in teaching and presentations, in which the mouse and the USB wireless presenter are two of the main pr... Read More about An approach to using a laser pointer as a mouse.

Comparing Multi-label Classification with Reinforcement Learning for Summarisation of Time-series Data (2014)
Presentation / Conference Contribution
Gkatzia, D., Hastie, H., & Lemon, O. (2014, June). Comparing Multi-label Classification with Reinforcement Learning for Summarisation of Time-series Data. Presented at The 52nd Annual Meeting of the Association for Computational Linguistics, Baltimore

We present a novel approach for automatic report generation from time-series data, in the context of student feedback generation. Our proposed methodology treats content selection as a multi-label (ML)
classification problem, which takes as input ti... Read More about Comparing Multi-label Classification with Reinforcement Learning for Summarisation of Time-series Data.

Dimensional analysis based causal ordering (1999)
Presentation / Conference Contribution
Shen, Q., Peng, T., & Milne, R. (1999, December). Dimensional analysis based causal ordering. Presented at QR-99

This paper presents a novel approach for generating causal dependencies between system variables, from an acausal description of the system behaviour, and for identifying the end causal impact; in terms of whether a change in the value of an influenc... Read More about Dimensional analysis based causal ordering.

A discrete formalism for reasoning about action and change (1997)
Presentation / Conference Contribution
Knight, B., Ma, J., & Peng, T. (1997, July). A discrete formalism for reasoning about action and change. Presented at The Twelfth International Conference on Artificial Intelligence in Engineering

No abstract available.