%0 Conference Paper %1 reda2015effects %A Reda, Khairi %A Johnson, Andrew E. %A Papka, Michael E. %A Leigh, Jason %B Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems %C New York, NY, USA %D 2015 %I Association for Computing Machinery %K displays visualization %P 2759–2768 %R 10.1145/2702123.2702406 %T Effects of Display Size and Resolution on User Behavior and Insight Acquisition in Visual Exploration %U https://doi.org/10.1145/2702123.2702406 %X Large high-resolution displays are becoming increasingly common in research settings, providing data scientists with visual interfaces for the analysis of large datasets. Numerous studies have demonstrated unique perceptual and cognitive benefits afforded by these displays in visual analytics and information visualization tasks. However, the effects of these displays on knowledge discovery in exploratory visual analysis are still poorly understood. We present the results of a small-scale study to better understand how display size and resolution affect insight. Analyzing participants' verbal statements, we find preliminary evidence that larger displays with more pixels can significantly increase the number of discoveries reported during visual exploration, while yielding broader, more integrative insights. Furthermore, we find important differences in how participants performed the same visual exploration task using displays of varying sizes. We tie these results to extant work and propose explanations by considering the cognitive and interaction costs associated with visual exploration. %@ 9781450331456

@inproceedings{reda2015effects, abstract = {Large high-resolution displays are becoming increasingly common in research settings, providing data scientists with visual interfaces for the analysis of large datasets. Numerous studies have demonstrated unique perceptual and cognitive benefits afforded by these displays in visual analytics and information visualization tasks. However, the effects of these displays on knowledge discovery in exploratory visual analysis are still poorly understood. We present the results of a small-scale study to better understand how display size and resolution affect insight. Analyzing participants' verbal statements, we find preliminary evidence that larger displays with more pixels can significantly increase the number of discoveries reported during visual exploration, while yielding broader, more integrative insights. Furthermore, we find important differences in how participants performed the same visual exploration task using displays of varying sizes. We tie these results to extant work and propose explanations by considering the cognitive and interaction costs associated with visual exploration.}, added-at = {2024-06-10T14:14:11.000+0200}, address = {New York, NY, USA}, author = {Reda, Khairi and Johnson, Andrew E. and Papka, Michael E. and Leigh, Jason}, biburl = {https://www.bibsonomy.org/bibtex/230d4a365c306906d32fd192787b1e584/abernstetter}, booktitle = {Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems}, day = 18, description = {Effects of Display Size and Resolution on User Behavior and Insight Acquisition in Visual Exploration | Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems}, doi = {10.1145/2702123.2702406}, interhash = {af1bee695aa66985630e1100187f3531}, intrahash = {30d4a365c306906d32fd192787b1e584}, isbn = {9781450331456}, keywords = {displays visualization}, location = {Seoul, Republic of Korea}, month = {4}, pages = {2759–2768}, publisher = {Association for Computing Machinery}, series = {CHI '15}, timestamp = {2024-06-10T14:14:11.000+0200}, title = {Effects of Display Size and Resolution on User Behavior and Insight Acquisition in Visual Exploration}, url = {https://doi.org/10.1145/2702123.2702406}, year = 2015 }