Keep it Simple: How Visual Complexity and Preferences Impact Search Efficiency on Websites
Amanda Baughan, Tal August, Naomi Yamashita, Katharina Reinecke
Abstract
Past research has shown that people prefer different levels of visual complexity in websites: While some prefer simple websites with little text and few images, others prefer highly complex websites with many colors, images, and text. We investigated whether users' visual preferences reflect which website complexity they can work with most efficiently. We conducted an online study with 165 participants in which we tested their search efficiency and information recall. We confirm that the visual complexity of a website has a significant negative effect on search efficiency and information recall. However, the search efficiency of those who preferred simple websites was more negatively affected by highly complex websites than those who preferred high visual complexity. Our results suggest that diverse visual preferences need to be accounted for when assessing search response time and information recall in HCI experiments, testing software, or A/B tests.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext f6f26063-46ba-4db0-a4c0-a3a03559f1ddCited by top-tier papers3
- From Paper to Card: Transforming Design Implications with Generative AIDonghoon Shin, Lucy Lu Wang, Gary HsiehCHI 2024 · 28 citations
- Do Cross-Cultural Differences in Visual Attention Patterns Affect Search Efficiency on Websites?Amanda Baughan, Nigini Oliveira, Tal August, Naomi Yamashita et al.CHI 2021 · 17 citations
- Know Your Audience: The benefits and pitfalls of generating plain language summaries beyond the "general" audienceTal August, Kyle Lo, Noah A. Smith, Katharina ReineckeCHI 2024 · 11 citations
Related papers
- Relationship Between Visual Complexity and Aesthetics of WebpagesAliaksei Miniukovich, Maurizio MarcheseCHI 2020 · 24 citations
- How Relevant is Hick's Law for HCI?Wanyu Liu, Julien Gori, Olivier Rioul, Michel Beaudouin-Lafon et al.CHI 2020 · 67 citations
- Image or Information? Examining the Nature and Impact of Visualization Perceptual ClassificationAnjana Arunkumar, Lace M. K. Padilla, Gi-Yeul Bae, Chris BryanIEEE VIS 2023 · 15 citations
- Quantifying Emotional Responses to Immutable Data Characteristics and Designer Choices in Data VisualizationsCarter Blair, Xiyao Wang, Charles PerinIEEE VIS 2024 · 5 citations
- When Browsing Gets Cluttered: Exploring and Modeling Interactions of Browsing Clutter, Browsing Habits, and CopingRongjun Ma, Henrik Lassila, Leysan Nurgalieva, Janne LindqvistCHI 2023 · 16 citations
