{"pk":25528,"title":"Making Sense of Time-Series Data: How Language Can Help Identify\nLong-Term Trends","subtitle":null,"abstract":"Real-world time-series data can show substantial short-term\nvariability as well as underlying long-term trends. Verbal\ndescriptions from a pilot study, in which participants\ninterpreted a real-world line graph about climate change,\nrevealed that trend interpretation might be problematic\n(Experiment 1). The effect of providing a graph interpretation\nstrategy, via a linguistic warning, on the encoding of longterm\ntrends was then tested using eye tracking (Experiment\n2). The linguistic warning was found to direct visual attention\nto task-relevant information thus enabling more detailed\ninternal representations of the data to be formed. Language\nmay therefore be an effective tool to support users in making\nappropriate spatial inferences about data","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[{"word":"graph comprehension; language; visual attention"}],"section":"Papers","is_remote":true,"remote_url":"https://escholarship.org/uc/item/1j5461g2","frozenauthors":[{"first_name":"Jordan","middle_name":"","last_name":"Harold","name_suffix":"","institution":"University of East Anglia","department":""},{"first_name":"Kenny","middle_name":"R","last_name":"Coventry","name_suffix":"","institution":"University of East Anglia","department":""},{"first_name":"Irene","middle_name":"","last_name":"Lorenzoni","name_suffix":"","institution":"University of East Anglia","department":""},{"first_name":"Thomas","middle_name":"F","last_name":"Shipley","name_suffix":"","institution":"Temple University","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"2015-01-01T18:00:00Z","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/25528/galley/15152/download/"}]}