Natural Language Generation for Nature Conservation: Automating Feedback to help Volunteers identify Bumblebee Species

Steven Blake, Advaith Siddharthan, Hien Nguyen, Nirwan Sharma, Anne-Marie Robinson, Elaine O'Mahony, Ben Darvill, Christopher Stuart Mellish, Rene Van Der Wal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Citations (Scopus)
8 Downloads (Pure)

Abstract

This paper explores the use of Natural Language Generation (NLG) for facilitating the provision of feedback to citizen scientists in the context of a nature conservation programme, BeeWatch. BeeWatch aims to capture the distribution of bumblebees, an ecologically and economically important species group in decline, across the UK and beyond. The NLG module described here uses comparisons of visual features of bumblebee species as well as contextual information to improve the citizen scientists' identification skills and to keep them motivated. We report studies that show a positive effect of NLG feedback on accuracy of bumblebee identification and on volunteer retention, along with a positive appraisal of the generated feedback.
Original languageEnglish
Title of host publicationCOLING 2012 :
Subtitle of host publication24th International Conference on Computational Linguistics : Proceedings of COLING 2012 : Technical Papers
EditorsMartin Kay, Christian Boitet
Place of PublicationMumbai
PublisherThe COLING 2012 Organizing Committee
Pages311-324
Number of pages14
Publication statusPublished - 2012

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