Towards a systematic understanding of graphical cues in communication through statistical graphs

Statistical graphs in particular, line graphs and bar graphs are efficient means of communication in a wide range of non-expert settings. In communication settings, statistical graphs do not only serve as visualizations of individual data points but also provide visual access to various aspects of the information contained in data. Moreover, specific types of graphs are better means for providing visual access to certain aspects of data. For instance, trend information is visually conveyed through line graphs and bar graphs in the time domain. The interpretation of the information content in a graph is influenced by several factors, such as perceptual salience of line segments in a line graph. In addition, the presence of graphical cues substantially influences the interpretation of graph readers. Graphical cues are visual elements, usually in the form of point markers, non-directional lines, curves and arrows. They play a communicative role in communication through graphs. The present study reports an experimental investigation, in which the participants provided verbal descriptions of a set of graphs with/without graphical cues. The stimuli involved line graphs and bar graphs that represented the same data. The analyses of eye movements and verbal protocols reveal that the interpretations of the participants are systematically influenced by the presence or absence of a graphical cue, the type of the graphical cue (i.e., a point marker vs. an arrow), as well as the type of the graph (i.e., a line graph vs. a bar graph).


Towards designing audio assistance for comprehending haptic graphs A multimodal perspective
DENİZ, OZAN; MEHMETCAN, FAL; Acartürk, Cengiz (2013-07-31)
Statistical graphs, such as line graphs are widely used in multimodal communication settings. Language accompanies graphs and humans produce gestures during the course of communication. For visually impaired people, haptic-audio interfaces provide perceptual access to graphical representations. The local and sequential character of haptic perception introduces limitations in haptic perception of hard-to-encode information, which can be resolved by providing audio assistance. In this article we first present...
Verbally assisted haptic graph comprehension The role of taking initiative in a joint activity
Deniz, Ozan; Mehmetcan, Fal; Acartürk, Cengiz (2014-08-31)
Statistical graphs are tools for multimodal communication in daily life settings. For visually impaired people, haptic interfaces provide perceptual access to the information provided by the graph. Haptic comprehension is facilitated by audio and verbal assistance. We investigate the circumstances under which verbal assistance facilitates haptic comprehension of graphs. For this, we focus on cases where unaided haptic graph comprehension has limitations, such as when describing a global (rather than a local...
Gesture and language production in communication through bar graphs
Özge, Alaçam; Christopher, Habel; Acartürk, Cengiz (Cognitive Science Society; 2013-08-31)
Bar graphs and line graphs are commonly used ways of graphical communication. Due to the difference in their perceptual visuo-spatial properties, they facilitate comprehension of different events. Bar graphs are commonly used in the domain of precipitation although the data intrinsically carry information that is averaged over long time spans. In this study, we investigate how the presence of incongruence between consecutive graph pairs influences conceptualization of the represented information about preci...
Learning Graph Signal Representations with Narrowband Spectral Kernels
Kar, Osman Furkan; Turhan, Gülce; Vural, Elif (2022-01-01)
In this work, we study the problem of learning graph dictionary models from partially observed graph signals. We represent graph signals in terms of atoms generated by narrowband graph kernels. We formulate an optimization problem where the kernel parameters are learnt jointly with the signal representations under a triple regularization scheme: While the first regularization term aims to control the spectrum of the narrowband kernels, the second term encourages the reconstructed graph signals to vary smoot...
Eye tracking in multimodal comprehension of graphs
Acartürk, Cengiz (2012-07-31)
Eye tracking methodology has been a major empirical research approach for the study of online comprehension processes in reading and scene viewing. The use of eye tracking methodology for the study of diagrammatic representations, however, has been relatively limited so far. The investigation of specific types of diagrammatic representations, such as statistical graphs is even scarce. In this study, we propose eye tracking as an empirical research approach for a systematic analysis of multimodal comprehensi...
Citation Formats
C. Acartürk, “Towards a systematic understanding of graphical cues in communication through statistical graphs,” JOURNAL OF VISUAL LANGUAGES AND COMPUTING, pp. 76–88, 2014, Accessed: 00, 2020. [Online]. Available: