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Blogging Birds: Telling informative stories about the lives of birds from telemetric data

Siddharthan, Advaith; Ponnamperuma, Kapila; Mellish, Chris; Zeng, Chen; Heptinstall, Danny; Robinson, Annie; Benn, Stuart and van der Wal, René (2019). Blogging Birds: Telling informative stories about the lives of birds from telemetric data. Communications of the ACM, 62(3) pp. 68–77.

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URL: https://cacm.acm.org/magazines/2019/3/234928-blogg...
DOI (Digital Object Identifier) Link: https://doi.org/10.1145/3231588
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Abstract

We introduce and evaluate Blogging Birds, a novel artificial intelligence program that generates creative texts to communicate telemetric data derived from satellite tags fitted to red kites as part of a species reintroduction programme. We address the substantial challenge of effectively communicating telemetric sensor data in real time by (a) enriching this data with meteorological and cartographic data, (b) codifying ecological knowledge to allow creative interpretation of the behaviour of individual animals with respect to such enriched data, and (c) dynamically generating informative and engaging data-driven blogs aimed at the general public. Our evaluation found that summarising environmentally-enriched satellite-tag data as informative, engaging and fluent blogs was highly challenging even for trained ecologists, and that the computer-generated blogs were preferred by readers, notably where movements of focal animals were wide-ranging. We conclude that Natural Language Generation, and specifically data-to-text technology, has come of age sufficiently to achieve more than just the factual summarisation of data for professional use, thus opening up new avenues for addressing societal challenges related to communicating data effectively and engaging the public with scientific research.

Item Type: Journal Item
Copyright Holders: 2019 The Authors
ISSN: 0001-0782
Project Funding Details:
Funded Project NameProject IDFunding Body
dot.rural Digital Economy HubEP/G066051/1RCUK
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Item ID: 55341
Depositing User: Advaith Siddharthan
Date Deposited: 12 Jun 2018 08:24
Last Modified: 15 Mar 2019 12:25
URI: http://oro.open.ac.uk/id/eprint/55341
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