Image-based Emotion Feedback: How Does the Crowd Feel? And Why? (2017)
Presentation / Conference Contribution
Robb, D. A., Padilla, S., Methven, T. S., Kalkreuter, B., & Chantler, M. J. (2017, June). Image-based Emotion Feedback: How Does the Crowd Feel? And Why?. Presented at 2017 Conference on Designing Interactive Systems, Edinburgh, United Kingdom

In previous work we developed a method for interior designers to receive image-based feedback about a crowd’s emotions when viewing their designs. Although the designers clearly desired a service which provided the new style of feedback, we wanted to... Read More about Image-based Emotion Feedback: How Does the Crowd Feel? And Why?.

Understanding Concept Maps: A Closer Look at How People Organise Ideas (2017)
Presentation / Conference Contribution
Padilla, S., Methven, T. S., Robb, D. A., & Chantler, M. J. (2017, May). Understanding Concept Maps: A Closer Look at How People Organise Ideas. Presented at 2017 CHI Conference on Human Factors in Computing Systems: Explore, Innovate, Inspire, Denver, Colorado, USA

Research into creating visualisations that organise ideas into concise concept maps often focuses on implicit mathematical and statistical theories which are built around algorithmic efficacy or visual complexity. Although there are multiple techniqu... Read More about Understanding Concept Maps: A Closer Look at How People Organise Ideas.

An Adaptively Speculative Execution Strategy Based on Real-Time Resource Awareness in a Multi-Job Heterogeneous Environment (2017)
Journal Article
Liu, Q., Cai, W., Liu, Q., Shen, J., Fu, Z., Liu, X., & Linge, N. (2017). An Adaptively Speculative Execution Strategy Based on Real-Time Resource Awareness in a Multi-Job Heterogeneous Environment. KSII transactions on internet and information systems, 11(2), https://doi.org/10.3837/tiis.2017.02.004

MapReduce (MRV1), a popular programming model, proposed by Google, has been well used to process large datasets in Hadoop, an open source cloud platform. Its new version MapReduce 2.0 (MRV2) developed along with the emerging of Yarn has achieved obvi... Read More about An Adaptively Speculative Execution Strategy Based on Real-Time Resource Awareness in a Multi-Job Heterogeneous Environment.