A software tool for evaluating navigation
McCall, R., & Benyon, D. (1997)
A software tool for evaluating navigation. In J. May, J. Siddiqui, & J. Wilkinson (Eds.), HCI’98 Conference Companion, 72-73
Traditional methods of evaluating the usability of software systems largely ignore the problem of navigation within computer based environments. In contrast the 'Navigation of...
Adaptive systems: from intelligent tutoring to autonomous agents
Benyon, D., & Murray, D. (1993)
Adaptive systems: from intelligent tutoring to autonomous agents. Knowledge-Based Systems, 6(4), 197-219. https://doi.org/10.1016/0950-7051%2893%2990012-i
Computer systems which can automatically alter aspects of their functionality or interface to suit the needs of individuals or groups of users have appeared over the years in ...
Adaptive systems: A solution to usability problems
Benyon, D. (1993)
Adaptive systems: A solution to usability problems. User Modeling and User-Adapted Interaction, 3(1), 65-87. https://doi.org/10.1007/bf01099425
Improving the usability of computer systems is perhaps the most important goal of human-computer interaction research. Current approaches to usability engineering tend to focu...
DIY Community WiFi Networks: Insights on Participatory Design
Smyth, M., & Helgason, I. (2019)
DIY Community WiFi Networks: Insights on Participatory Design. In Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systemshttps://doi.org/10.1145/3290607.3313073
This paper presents a first version of a set of insights developed collaboratively by researchers during a three-year participatory design project spread across four European ...
A Look at the Effects of Handheld and Projected Augmented-reality on a Collaborative Task
Mackamul, E. B., & Esteves, A. (2018)
A Look at the Effects of Handheld and Projected Augmented-reality on a Collaborative Task. In SUI '18 Symposium on Spatial User Interactionhttps://doi.org/10.1145/3267782.3267793
This paper presents a comparative study between two popular AR systems during a collocated collaborative task. The goal of the study is to start a body of knowledge that descr...
From the Virtual to the RealWorld: Referring to Objects in Real-World Spatial Scenes
Gkatzia, D., Rieser, V., Bartie, P., & Mackaness, W. (2015)
From the Virtual to the RealWorld: Referring to Objects in Real-World Spatial Scenes. In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 1936-1942. https://doi.org/10.18653/v1/d15-1224
Predicting the success of referring expressions (RE) is vital for real world applications such as navigation systems. Traditionally, research has focused on studying Referring...
A Game-Based Setup for Data Collection and Task-Based Evaluation of Uncertain Information Presentation
Gkatzia, D., Cercas Curry, A., Rieser, V., & Lemon, O. (2015)
A Game-Based Setup for Data Collection and Task-Based Evaluation of Uncertain Information Presentation. In Proceedings of the 15th European Workshop on Natural Language Generation, 112-113. https://doi.org/10.18653/v1/w15-4720
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 w...
A Snapshot of NLG Evaluation Practices 2005 - 2014
Gkatzia, D., & Mahamood, S. (2015)
A Snapshot of NLG Evaluation Practices 2005 - 2014. https://doi.org/10.18653/v1/w15-4708
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 th...
Generating and Evaluating Landmark-Based Navigation Instructions in Virtual Environments
Cercas Curry, A., Gkatzia, D., & Rieser, V. (2015)
Generating and Evaluating Landmark-Based Navigation Instructions in Virtual Environments. In Proceedings of the 15th European Workshop on Natural Language Generation, 90-94. https://doi.org/10.18653/v1/w15-4715
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 ...
Comparing Multi-label Classification with Reinforcement Learning for Summarisation of Time-series Data
Gkatzia, D., Hastie, H., & Lemon, O. (2014)
Comparing Multi-label Classification with Reinforcement Learning for Summarisation of Time-series Data. In Proceedings of the Conference Volume 1: Long Papers, 1231-1240. https://doi.org/10.3115/v1/p14-1116
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 selec...