Literature DB >> 26390488

Beyond Memorability: Visualization Recognition and Recall.

Michelle A Borkin, Zoya Bylinskii, Nam Wook Kim, Constance May Bainbridge, Chelsea S Yeh, Daniel Borkin, Hanspeter Pfister, Aude Oliva.   

Abstract

In this paper we move beyond memorability and investigate how visualizations are recognized and recalled. For this study we labeled a dataset of 393 visualizations and analyzed the eye movements of 33 participants as well as thousands of participant-generated text descriptions of the visualizations. This allowed us to determine what components of a visualization attract people's attention, and what information is encoded into memory. Our findings quantitatively support many conventional qualitative design guidelines, including that (1) titles and supporting text should convey the message of a visualization, (2) if used appropriately, pictograms do not interfere with understanding and can improve recognition, and (3) redundancy helps effectively communicate the message. Importantly, we show that visualizations memorable "at-a-glance" are also capable of effectively conveying the message of the visualization. Thus, a memorable visualization is often also an effective one.

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Year:  2015        PMID: 26390488     DOI: 10.1109/TVCG.2015.2467732

Source DB:  PubMed          Journal:  IEEE Trans Vis Comput Graph        ISSN: 1077-2626            Impact factor:   4.579


  5 in total

1.  Visual short-term memory capacity predicts the "bandwidth" of visual long-term memory encoding.

Authors:  Keisuke Fukuda; Edward K Vogel
Journal:  Mem Cognit       Date:  2019-11

2.  VIStory: interactive storyboard for exploring visual information in scientific publications.

Authors:  Wei Zeng; Ao Dong; Xi Chen; Zhang-Lin Cheng
Journal:  J Vis (Tokyo)       Date:  2020-08-16       Impact factor: 1.974

3.  The visual and semantic features that predict object memory: Concept property norms for 1,000 object images.

Authors:  Mariam Hovhannisyan; Alex Clarke; Benjamin R Geib; Rosalie Cicchinelli; Zachary Monge; Tory Worth; Amanda Szymanski; Roberto Cabeza; Simon W Davis
Journal:  Mem Cognit       Date:  2021-01-19

4.  Dimensional Taxonomy of Data Visualization: A Proposal From Communication Sciences Tackling Complexity.

Authors:  Victor Cavaller
Journal:  Front Res Metr Anal       Date:  2021-04-19

Review 5.  Design and user experience testing of a polygenic score report: a qualitative study of prospective users.

Authors:  Deanna G Brockman; Lia Petronio; Jacqueline S Dron; Bum Chul Kwon; Trish Vosburg; Lisa Nip; Andrew Tang; Mary O'Reilly; Niall Lennon; Bang Wong; Kenney Ng; Katherine H Huang; Akl C Fahed; Amit V Khera
Journal:  BMC Med Genomics       Date:  2021-10-01       Impact factor: 3.622

  5 in total

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