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A visual analytics framework to study honey bee behaviour

Engelke, U, Marendy, P, Susanto, F, Williams, R, Mahbub, S, Nguyen, H and De Souza, P 2017 , 'A visual analytics framework to study honey bee behaviour', in J Chen and LT Yang (eds.), Proceedings from the Second IEEE International Conference on Data Science and Systems , Institute of Electrical and Electronics Engineers, United States, pp. 1504-1511 , doi: 10.1109/HPCC-SmartCity-DSS.2016.54.

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Abstract

We present an end-to-end visual analytics framework that aims to facilitate prediction and decision making about honey bee health based on micro sensing data. The framework is particularly tailored to cope with heterogeneous data from micro sensors and environmental sensors that are deployed to collect information about bees and their environment. The framework design allows for a wide range of end users, including scientists, bee keepers, and decision makers, to effectively explore the bee data through interactive visual interfaces. User centred design is deployed throughout the development to meet the various requirements of the users. A large scale study is being planned to evaluate and further refine the framework based on user experiences.

Item Type: Conference Publication
Authors/Creators:Engelke, U and Marendy, P and Susanto, F and Williams, R and Mahbub, S and Nguyen, H and De Souza, P
Keywords: information visualisation, modelling, user interface, visual analytics
Journal or Publication Title: Proceedings from the Second IEEE International Conference on Data Science and Systems
Publisher: Institute of Electrical and Electronics Engineers
DOI / ID Number: 10.1109/HPCC-SmartCity-DSS.2016.54
Copyright Information:

Copyright 2016 IEEE

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