Outputs (234)

Deep Machine Learning provides state-of-the-art performance in image-based plant phenotyping (2016)
Preprint / Working Paper
Pound, M. P., Burgess, A. J., Wilson, M. H., Atkinson, J. A., Griffiths, M., Jackson, A. S., Bulat, A., Tzimiropoulos, G., Wells, D. M., Murchie, E. H., Pridmore, T. P., & French, A. P. Deep Machine Learning provides state-of-the-art performance in image-based plant phenotyping

Deep learning is an emerging field that promises unparalleled results on many data analysis problems. We show the success offered by such techniques when applied to the challenging problem of image-based plant phenotyping, and demonstrate state-of-th... Read More about Deep Machine Learning provides state-of-the-art performance in image-based plant phenotyping.

Towards a theory of reach (2016)
Journal Article
Fowler, J., & Hutton, G. (2016). Towards a theory of reach. Lecture Notes in Artificial Intelligence, 9547, https://doi.org/10.1007/978-3-319-39110-6

When testing a program, there are usually some parts that are rarely executed and hence more difficult to test. Finding inputs that guarantee that such parts are executed is an example of a reach problem, which in general seeks to ensure that targete... Read More about Towards a theory of reach.

Jogging at CHI (2016)
Presentation / Conference Contribution
Mueller, F. ‘., Marshall, J., Khot, R. A., Nylander, S., & Tholander, J. Jogging at CHI. Presented at CHI 2016: SIGCHI Conference on Human Factors in Computing Systems

HCI is increasingly paying attention to sports, and more and more CHI attendees are aiming to maintain being physically active while attending CHI. In response, we offer a SIG on the topic of sports-HCI and conduct it in a sportive way: we will go ou... Read More about Jogging at CHI.

A method for matching crowd-sourced and authoritative geospatial data (2016)
Journal Article
Du, H., Alechina, N., Jackson, M., & Hart, G. (2016). A method for matching crowd-sourced and authoritative geospatial data. Transactions in GIS, 21(2), 406-427. https://doi.org/10.1111/tgis.12210

A method for matching crowd-sourced and authoritative geospatial data is presented. A level of tolerance is defined as an input parameter as some difference in the geometry representation of a spatial object is to be expected. The method generates ma... Read More about A method for matching crowd-sourced and authoritative geospatial data.

Action-level intention selection for BDI agents (2016)
Presentation / Conference Contribution
Yao, Y., & Logan, B. (2016, May). Action-level intention selection for BDI agents. Presented at 15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2016), Singapore, Singapore

Belief-Desire-Intention agents typically pursue multiple goals in parallel. However the interleaving of steps in different intentions may result in conflicts, e.g., where the execution of a step in one plan makes the execution of a step in another co... Read More about Action-level intention selection for BDI agents.

Designing brutal multiplayer video games (2016)
Presentation / Conference Contribution
Marshall, J., Linehan, C., & Hazzard, A. Designing brutal multiplayer video games. Presented at 2016 CHI Conference on Human Factors in Computing Systems 2016

Non-digital forms of play that allow players to direct brute force directly upon each other, such as martial arts, boxing and full contact team sports,are very popular. However, inter-player brutality has largely been unexplored as a fe... Read More about Designing brutal multiplayer video games.

Interpersonal touch as a game interaction method (2016)
Presentation / Conference Contribution
Marshall, J., Linehan, C., Tennent, P., & Hazzard, A. Interpersonal touch as a game interaction method. Presented at Proxemic Mobile Collocated Interactions Workshop at ACM CHI Conference on Human Factors in Computing Systems 2016

Interpersonal touch is a key element of social behaviour, yet is largely ignored in HCI. In this paper, we describe two games which explore two extremes of interpersonal touch, and discuss key research questions relating to them.

Health technologies ‘In the wild’: experiences of engagement with computerised CBT (2016)
Journal Article
Rennick-Egglestone, S., Knowles, S., Toms, G., Bee, P., Lovell, K., & Bower, P. (2016). Health technologies ‘In the wild’: experiences of engagement with computerised CBT. https://doi.org/10.1145/2858036.2858128

The widespread deployment of technology by professional health services will provide a substantial opportunity for studies that consider usage in naturalistic settings. Our study has documented experiences of engaging with technologies intended to su... Read More about Health technologies ‘In the wild’: experiences of engagement with computerised CBT.

Accountable artefacts: The case of the Carolan Guitar (2016)
Presentation / Conference Contribution
Benford, S., Hazzard, A., Chamberlain, A., Glover, K., Greenhalgh, C., Xu, L., Hoare, M., & Darzentas, D. (2016, May). Accountable artefacts: The case of the Carolan Guitar. Presented at CHI'16: CHI Conference on Human Factors in Computing Systems, San Jose, California, USA

We explore how physical artefacts can be connected to digital records of where they have been, who they have encountered and what has happened to them, and how this can enhance their meaning and utility. We describe how a travelling technology probe... Read More about Accountable artefacts: The case of the Carolan Guitar.

#Scanners: Exploring the Control of Adaptive Films using Brain-Computer Interaction (2016)
Presentation / Conference Contribution
Pike, M., Ramchurn, R., Benford, S., & Wilson, M. L. (2016, May). #Scanners: Exploring the Control of Adaptive Films using Brain-Computer Interaction. Presented at CHI'16: CHI Conference on Human Factors in Computing Systems, San Jose, California, USA

This paper explores the design space of bio-responsive entertainment, in this case using a film that responds to the brain and blink data of users. A film was created with four parallel channels of footage, where blinking and levels of attention and... Read More about #Scanners: Exploring the Control of Adaptive Films using Brain-Computer Interaction.