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Are people drawn to faces on webpages?

Published: 04 April 2009 Publication History

Abstract

Three studies were conducted to investigate the effects of faces on webpages. In Study I, eye-tracking data showed that users were clearly drawn to faces when asked to look at pages and report what they remember. In Study II, the presence of a face next to a message on a webpage caused users to have a harder time finding that message. In Study III, photos of the authors of opinion articles caused users to be less likely to find the article and to give the page worse ratings.

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References

[1]
Cell Press (2006, April 9). Explaining How The Brain Recognizes Faces. ScienceDaily. Retrieved January 6, 2009, from http://www.sciencedaily.com­ /releases/2006/04/060409153926.htm.
[2]
Steinbrueck, U., Schaumburg, H., Duda, S., and Krueger, T., A, Picture Says More Than A Thousand Words -- Photographs As Trust Builders In E-Commerce Websites. Proceedings of CHI2002: Extended Abstracts. Minneapolis, MN, US, April 20--25, 2002, pp. 748--749.
[3]
J. Riegelsberger & M. A. Sasse (2002). Face it -- Photos don't make a Web Site Trustworthy. Extended Abstracts CHI2002, 20--25 April, Minneapolis, MN, pp. 742--743.

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  • (2022)Tracking unconscious response to visual stimuli to better understand a pattern of human behavior on a Facebook pageJournal of Innovation & Knowledge10.1016/j.jik.2022.1001667:1(100166)Online publication date: Jan-2022
  • (2018)An eye tracking study of viewing behaviour and preferences of Arabic, English and Chinese usersProceedings of the 32nd International BCS Human Computer Interaction Conference10.14236/ewic/HCI2018.51(1-13)Online publication date: 4-Jul-2018
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cover image ACM Conferences
CHI EA '09: CHI '09 Extended Abstracts on Human Factors in Computing Systems
April 2009
2470 pages
ISBN:9781605582474
DOI:10.1145/1520340
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Publication History

Published: 04 April 2009

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Author Tags

  1. faces
  2. people
  3. photos
  4. pictures
  5. web

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  • Extended-abstract

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CHI '09
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CHI EA '09 Paper Acceptance Rate 385 of 1,130 submissions, 34%;
Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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Cited By

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  • (2023)Using VR to Present a Mobile MRI Unit in Confined Physical Space: Reporting Results of a Field-Deployment at a Radiology Exhibition2023 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)10.1109/DASC/PiCom/CBDCom/Cy59711.2023.10361485(1051-1057)Online publication date: 14-Nov-2023
  • (2022)Tracking unconscious response to visual stimuli to better understand a pattern of human behavior on a Facebook pageJournal of Innovation & Knowledge10.1016/j.jik.2022.1001667:1(100166)Online publication date: Jan-2022
  • (2018)An eye tracking study of viewing behaviour and preferences of Arabic, English and Chinese usersProceedings of the 32nd International BCS Human Computer Interaction Conference10.14236/ewic/HCI2018.51(1-13)Online publication date: 4-Jul-2018
  • (2018)Multivariate Testing Confirms the Effect of Age–Gender Congruence on Click-Through Rates from Online Social Network Digital AdvertisementsCyberpsychology, Behavior, and Social Networking10.1089/cyber.2018.019721:10(646-654)Online publication date: Oct-2018
  • (2013)Does ad blindness on the web vary by age and gender?CHI '13 Extended Abstracts on Human Factors in Computing Systems10.1145/2468356.2468685(1833-1838)Online publication date: 27-Apr-2013
  • (2011)Visual hierarchy and viewing behaviorProceedings of the 14th international conference on Human-computer interaction: design and development approaches - Volume Part I10.5555/2022384.2022424(331-340)Online publication date: 9-Jul-2011
  • (2011)Visual Hierarchy and Viewing Behavior: An Eye Tracking StudyHuman-Computer Interaction. Design and Development Approaches10.1007/978-3-642-21602-2_36(331-340)Online publication date: 2011
  • (2010)Efficiency, Trust, and Visual AppealProceedings of the 2010 43rd Hawaii International Conference on System Sciences10.1109/HICSS.2010.171(1-10)Online publication date: 5-Jan-2010
  • (2010)Generation Y, web design, and eye trackingInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2009.12.00668:5(307-323)Online publication date: 1-May-2010

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