• Corpus ID: 4691339

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

  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},
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… 
1 Citations

Figures and Tables from this paper

Cognitive and psychological science insights to improve climate change data visualization

Climate change communication often relies on visualization of climate data. This Review highlights research from the cognitive and psychological sciences that can inform practices for increasing



Toward a Model of Knowledge-Based Graph Comprehension

According to this model, knowledge-based graph comprehension involves an interaction of top-down and bottom up processes and several types of knowledge are brought to bear on graphs: domain knowledge, graphical skills, and explanatory skills.

Graphs as aids to knowledge construction: Signaling techniques for guiding the process of graph comprehension.

It is established that graphs can be redesigned to improve viewers' interpretations by minimizing the inferential processes and maximizing the pattern association processes required to interpret relevant information.

Stimulus complexity and information integration in the spontaneous interpretations of line graphs

Viewers of a graph will readily interpret its contents, even when given no explicit instructions regarding what information to extract. However, little is known about the strategies that subjects

A Model of the Perceptual and Conceptual Processes in Graph Comprehension

A model of the comprehension of line graphs that emphasizes the close interaction between conceptual processes, such as interpreting labels and scales, and perceptual processes,such as encoding and interpreting the slopes and patterns of the lines themselves is proposed.

Modeling the Effect of Task and Graphical Representation on Response Latency in a Graph Reading Task

Two models are described, using the ACT rational perceptual motor (ACT-R/PM) cognitive architecture, that replicate the pattern of observed response latencies and the complex scan paths revealed by the eye movement study.

Bars and lines: A study of graphic communication

These predictions predict that people should more readily associate bars with discrete comparisons between data points because bars are discrete entities and facilitate point estimates.

The Effect of Gestalt Laws of Perceptual Organization on the Comprehension of Three-Variable Bar and Line Graphs

A new design is proposed that provides a more balanced representation of the data than the standard line graph for nonexpert users to comprehend the full range of relationships in two-way factorial research designs and may therefore be considered a more appropriate representation for use in educational and other nonexpert contexts.

Spatial language influences memory for spatial scenes

The results support the interactive encoding account in which spatial language influences the encoding and memory of spatial relations.

Relational language and the development of relational mapping

When goals constrain: Eye movements and memory for goal‐Oriented map study

Perspective goals, such as studying a map to learn a route through an environment or the overall layout of an environment, produce memory congruent with the goal-directed rather than the studied