Data-to-Text Generation Improves Decision-Making Under Uncertainty (2017)
Journal Article
Gkatzia, D., Lemon, O., & Rieser, V. (2017). Data-to-Text Generation Improves Decision-Making Under Uncertainty. IEEE Computational Intelligence Magazine, 12(3), 10-17. https://doi.org/10.1109/MCI.2017.2708998

Decision-making is often dependent on uncertain data, e.g. data associated with confidence scores or probabilities. This article presents a comparison of different information presentations for uncertain data and, for the first time, measures their e... Read More about Data-to-Text Generation Improves Decision-Making Under Uncertainty.

Natural Language Generation enhances human decision-making with uncertain information. (2016)
Presentation / Conference Contribution
Gkatzia, D., Lemon, O., & Rieser, V. (2016, August). Natural Language Generation enhances human decision-making with uncertain information. Presented at 54th Annual Meeting of the Association for Computational Linguistics (ACL) Volume 2 (short papers)

Decision-making is often dependent on uncertain data, e.g. data associated with confidence scores or probabilities. We present a comparison of different information presentations for uncertain data and, for the first time, measure their effects on hu... Read More about Natural Language Generation enhances human decision-making with uncertain information..

Exploratory Navigation for Runners Through Geographic Area Classification with Crowd-Sourced Data (2015)
Presentation / Conference Contribution
McGookin, D., Gkatzia, D., & Hastie, H. (2015, August). Exploratory Navigation for Runners Through Geographic Area Classification with Crowd-Sourced Data. Presented at 17th International Conference on Human-Computer Interaction with Mobile Devices and Services, Copenhagen, Denmark

Navigation when running is exploratory, characterised by both starting and ending in the same location, and iteratively foraging the environment to find areas with the most suitable running conditions. Runners do not wish to be explicitly directed, o... Read More about Exploratory Navigation for Runners Through Geographic Area Classification with Crowd-Sourced Data.

Generating Verbal Descriptions from Medical Sensor Data: A Corpus Study on User Preferences (2014)
Presentation / Conference Contribution
Gkatzia, D., Rieser, V., Mcsporran, A., Mcgowan, A., Mort, A., & Dewar, M. (2014, September). Generating Verbal Descriptions from Medical Sensor Data: A Corpus Study on User Preferences. Presented at BCS Health Informatics Scotland, Glasgow

Understanding and interpreting medical sensor data is an essential part of pre-hospital care in medical emergencies, but requires training and previous knowledge. In this paper, we describe ongoing work towards a medical decision support tool, which... Read More about Generating Verbal Descriptions from Medical Sensor Data: A Corpus Study on User Preferences.

Multi-adaptive Natural Language Generation using Principal Component Regression (2014)
Presentation / Conference Contribution
Gkatzia, D., Hastie, H., & Lemon, O. (2014, June). Multi-adaptive Natural Language Generation using Principal Component Regression. Presented at International Natural Language Generation Conference (INLG)

We present FeedbackGen, a system that uses a multi-adaptive approach to Natural Language Generation. With the term 'multi-adaptive', we refer to a system that is able to adapt its content to different user groups simultaneously, in our case adapting... Read More about Multi-adaptive Natural Language Generation using Principal Component Regression.