research-article

Influence of Visual Salience on Webpage Product Searches

Authors:

Jeremiah Still,

Mary StillAuthors Info & Claims

ACM Transactions on Applied Perception (TAP), Volume 16, Issue 1

Article No.: 3, Pages 1 - 11

https://doi.org/10.1145/3301413

Published: 13 February 2019 Publication History

Abstract

Visual salience can increase search efficiency in complex displays but does that influence persist when completing a specific search? In two experiments, participants were asked to search webpages for the prices of specific products. Those products were located near an area of high visual salience or low visual salience. In Experiment 1, participants were read the name of the product before searching; in Experiment 2, participants were shown an image of the exact product before searching. In both cases, participants completed their search more quickly in the high-salience condition. This was true even when there was no ambiguity about the visual characteristics of the product. Our findings suggest that salience guides users through complex displays under realistic, goal-driven task conditions. Designers can use this knowledge to create interfaces that are easier to search by aligning salience and task-critical elements.

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Cited By

Still JStill M(2024)Employing a Computational Model to Reveal Stimulus-Driven Influences in InterfacesProceedings of the Human Factors and Ergonomics Society Annual Meeting10.1177/10711813241260301Online publication date: 11-Aug-2024
https://doi.org/10.1177/10711813241260301
Rossi ACarli RBotes MFernandez ASergeeva ASánchez Chamorro L(2024)Who is vulnerable to deceptive design patterns? A transdisciplinary perspective on the multi-dimensional nature of digital vulnerabilityComputer Law & Security Review10.1016/j.clsr.2024.10603155(106031)Online publication date: Nov-2024
https://doi.org/10.1016/j.clsr.2024.106031
Yang MLei XRau P(2024)Commanding Consumers’ Visual Attention: Enhancement and AttenuationCross-Cultural Design10.1007/978-3-031-60901-5_19(270-284)Online publication date: 1-Jun-2024
https://doi.org/10.1007/978-3-031-60901-5_19
Show More Cited By

Index Terms

Influence of Visual Salience on Webpage Product Searches
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Empirical studies in HCI

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Published In

cover image ACM Transactions on Applied Perception

ACM Transactions on Applied Perception Volume 16, Issue 1

January 2019

104 pages

ISSN:1544-3558

EISSN:1544-3965

DOI:10.1145/3310277

Editors:
Martin Giese
University of Tübingen, Germany
,
Victoria Interrante
University of Minnesota, USA

Issue’s Table of Contents

Copyright © 2019 ACM.

Permission to make digital or hard copies of all or part 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 components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 February 2019

Accepted: 01 September 2018

Revised: 01 September 2018

Received: 01 May 2018

Published in TAP Volume 16, Issue 1

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Cited By

Still JStill M(2024)Employing a Computational Model to Reveal Stimulus-Driven Influences in InterfacesProceedings of the Human Factors and Ergonomics Society Annual Meeting10.1177/10711813241260301Online publication date: 11-Aug-2024
https://doi.org/10.1177/10711813241260301
Rossi ACarli RBotes MFernandez ASergeeva ASánchez Chamorro L(2024)Who is vulnerable to deceptive design patterns? A transdisciplinary perspective on the multi-dimensional nature of digital vulnerabilityComputer Law & Security Review10.1016/j.clsr.2024.10603155(106031)Online publication date: Nov-2024
https://doi.org/10.1016/j.clsr.2024.106031
Yang MLei XRau P(2024)Commanding Consumers’ Visual Attention: Enhancement and AttenuationCross-Cultural Design10.1007/978-3-031-60901-5_19(270-284)Online publication date: 1-Jun-2024
https://doi.org/10.1007/978-3-031-60901-5_19
Michels LOchmann JSchmitt KLaumer STiefenbeck V(2023)Salience, transparency, and self-nudging: a digital nudge to promote healthier food product choicesEuropean Journal of Information Systems10.1080/0960085X.2023.222978733:5(717-747)Online publication date: 29-Aug-2023
https://doi.org/10.1080/0960085X.2023.2229787
Zhang JYang ZJin LLu ZYu J(2022)Creating Word Paintings Jointly Considering Semantics, Attention, and AestheticsACM Transactions on Applied Perception10.1145/353961019:3(1-21)Online publication date: 2-Sep-2022
https://dl.acm.org/doi/10.1145/3539610
Ebert NAckermann KBearth A(2022)When information security depends on font size: how the saliency of warnings affects protection behaviorJournal of Risk Research10.1080/13669877.2022.214295226:3(233-255)Online publication date: 14-Nov-2022
https://doi.org/10.1080/13669877.2022.2142952
Still JHicks J(2020)Mobile Interface Attentional Priority ModelSN Computer Science10.1007/s42979-020-00166-31:3Online publication date: 25-Apr-2020
https://dl.acm.org/doi/10.1007/s42979-020-00166-3
(2019)Examining the Effects of Clutter and Target Salience in an E-Commerce Visual Search TaskProceedings of the Human Factors and Ergonomics Society Annual Meeting10.1177/107118131963121363:1(1761-1765)Online publication date: 20-Nov-2019
https://doi.org/10.1177/1071181319631213

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