Evaluating the consistency of immediate aesthetic perceptions of web pages

By Noam Tractinsky, Avivit Cokhavi, Moti Kirschenbaum, Tal Sharfi. Int. J. Hum. Comput. Stud., 2006

378 citations recorded by the source corpus.

Subfields: Social Psychology, Sociology and Political Science, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/5bd55a71cfe888c0dd9f7e9a849f5c30f93b58aa

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In Social Psychology

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Citations in the corpus

The effect of context attractiveness on product attractiveness and product quality: the moderating role of product familiarity (2017, background): “Literature shows that attractive websites are high in classical and expressive aesthetics, whereas unattractive websites are low in both aesthetic dimensions (Tractinsky et al. 2006).”
Facets of visual aesthetics (2010, background): “For example, the stability of the evaluation of visual aesthetics over time has been investigated repeatedly (Lindgaard et al., 2006; Tractinsky et al., 2006; van Schaik and Ling, 2009) and there are various experimental studies targeted at identifying characteristics of user-interfaces that influen”
Digital innovation strategy: A framework for diagnosing and improving digital product and service innovation (2017, background): “Users are affected by beauty and appearance; therefore, these aspects need to be carefully lever-aged and aimed at evoking a positive emotional response from the user (Hassenzahl & Tractinsky, 2006; Tractinsky, Cokhavi, Kirschenbaum, & Sharﬁ, 2006).”
The role of visual complexity and prototypicality regarding first impression of websites: Working towards understanding aesthetic judgments (2012, background): “Tractinsky et al. (2006), study 2 Attractiveness 24; 53 first trial: 500 ms, second trial: unlimited no classical & expressive aesthetics d High correlation between attractiveness and classical/expressive aesthetics (Lavie and Tractinsky, 2004).”
Predicting users' first impressions of website aesthetics with a quantification of perceived visual complexity and colorfulness (2013, background): “Since users make reliable judgments within the ﬁrst 50 to 500ms [23, 32], we believe that it must be possible to employ low-level image statistics of static website screenshots to predict whether a user will like the site.”