An Investigation of Placement of Textual and Graphical Information Using Human Performance and Eye Tracking Data

Chao Shi, Ayala Cohen, Ling Rothrock, Tatiana Umansky

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper reports the findings of a human-machine system (HMS) experiment, which was conducted to explore how to combine textual and graphical information in an interface. Specifically, this paper explored how the location of textual and graphical information would influence response time, accuracy and eye movement. We also explored the effectiveness of three different configurations (9, 16, and 25 points). Our findings suggest that if the accuracy was the highest priority, the textual information should be placed at the left side of the screen and the graphical information should not be placed at the center of the screen. If a quicker response time was the highest priority, the graphical information should not be placed at the corners and bottom right margins. Finally, if an interface includes both textual and graphical elements, graphical information could be placed at corner and margin areas and textual information could be placed at corner areas to facilitate the efficiency of information processing. From the perspective of response accuracy and response time, the 9-point configuration was most appropriate for the calibration process.

Original languageEnglish (US)
Title of host publicationHuman Interface and the Management of Information. Visual Information and Knowledge Management - Thematic Area, HIMI 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings
EditorsSakae Yamamoto, Hirohiko Mori
PublisherSpringer Verlag
Pages122-136
Number of pages15
ISBN (Print)9783030226596
DOIs
StatePublished - Jan 1 2019
EventThematic Area on Human Interface and the Management of Information, HIMI 2019, held as part of the 21st International Conference on Human-Computer Interaction, HCI International 2019 - Orlando, United States
Duration: Jul 26 2019Jul 31 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11569 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceThematic Area on Human Interface and the Management of Information, HIMI 2019, held as part of the 21st International Conference on Human-Computer Interaction, HCI International 2019
CountryUnited States
CityOrlando
Period7/26/197/31/19

Fingerprint

Man machine systems
Eye Tracking
Human Performance
Eye movements
Placement
Calibration
Response Time
Experiments
Margin
Configuration
Eye Movements
Graphics
Information Processing

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Shi, C., Cohen, A., Rothrock, L., & Umansky, T. (2019). An Investigation of Placement of Textual and Graphical Information Using Human Performance and Eye Tracking Data. In S. Yamamoto, & H. Mori (Eds.), Human Interface and the Management of Information. Visual Information and Knowledge Management - Thematic Area, HIMI 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings (pp. 122-136). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11569 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-030-22660-2_9
Shi, Chao ; Cohen, Ayala ; Rothrock, Ling ; Umansky, Tatiana. / An Investigation of Placement of Textual and Graphical Information Using Human Performance and Eye Tracking Data. Human Interface and the Management of Information. Visual Information and Knowledge Management - Thematic Area, HIMI 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings. editor / Sakae Yamamoto ; Hirohiko Mori. Springer Verlag, 2019. pp. 122-136 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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Shi, C, Cohen, A, Rothrock, L & Umansky, T 2019, An Investigation of Placement of Textual and Graphical Information Using Human Performance and Eye Tracking Data. in S Yamamoto & H Mori (eds), Human Interface and the Management of Information. Visual Information and Knowledge Management - Thematic Area, HIMI 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11569 LNCS, Springer Verlag, pp. 122-136, Thematic Area on Human Interface and the Management of Information, HIMI 2019, held as part of the 21st International Conference on Human-Computer Interaction, HCI International 2019, Orlando, United States, 7/26/19. https://doi.org/10.1007/978-3-030-22660-2_9

An Investigation of Placement of Textual and Graphical Information Using Human Performance and Eye Tracking Data. / Shi, Chao; Cohen, Ayala; Rothrock, Ling; Umansky, Tatiana.

Human Interface and the Management of Information. Visual Information and Knowledge Management - Thematic Area, HIMI 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings. ed. / Sakae Yamamoto; Hirohiko Mori. Springer Verlag, 2019. p. 122-136 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11569 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Shi C, Cohen A, Rothrock L, Umansky T. An Investigation of Placement of Textual and Graphical Information Using Human Performance and Eye Tracking Data. In Yamamoto S, Mori H, editors, Human Interface and the Management of Information. Visual Information and Knowledge Management - Thematic Area, HIMI 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings. Springer Verlag. 2019. p. 122-136. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-030-22660-2_9