• Corpus ID: 4691339

Making Sense of Time-Series Data: How Language Can Help Identify Long-Term Trends

@article{Harold2015MakingSO,
  title={Making Sense of Time-Series Data: How Language Can Help Identify Long-Term Trends},
  author={Jordan Harold and Kenny R. Coventry and Irene Lorenzoni and Thomas F. Shipley},
  journal={Cognitive Science},
  year={2015}
}
Real-world time-series data can show substantial short-term variability as well as underlying long-term trends. Verbal descriptions from a pilot study, in which participants interpreted a real-world line graph about climate change, revealed that trend interpretation might be problematic (Experiment 1). The effect of providing a graph interpretation strategy, via a linguistic warning, on the encoding of longterm trends was then tested using eye tracking (Experiment 2). The linguistic warning was… 
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