Linking objective web-design factors to facets of subjective aesthetic perception

Seckler, Mirjam; Tuch, Alexandre N.

doi:10.1145/2399016.2399159

Cited by 5 publications

(6 citation statements)

References 4 publications

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“…rVAE can be interpreted as using the lowest possible VAE to perceive as much useful information (noise free signal) as possible in the constraint of the display (bandwidth). This explanation is in line with the aesthetic principle, "Maximum effect for minimum means" (Hekkert, 2006), which is rooted in evolutionary aesthetics (Shimamura and Palmer, 2012). The theory argues that the basic aesthetic preferences of Homo sapiens have evolved in order to enhance survival and reproductive success.…”

mentioning

confidence: 58%

“…Research on webpage aesthetics primarily focuses on finding predictable features within webpages such as visual complexity and order (Deng and Poole, 2010); low-level image statistics (Zheng et al, 2009); high level objective design metrics (Ivory et al, 2001). Seckler et al (2015) examined how design factors such as structure and color are linked to different facets of subjective aesthetic perception of webpages. Reinecke et al (2013) introduced computational models of perceived visual complexity and colorfulness of webpages, and they found the two models are predictive of people's aesthetic preferences.…”

Section: Eye Tracking and Webpage Aestheticsmentioning

confidence: 99%

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Predicting webpage aesthetics with heatmap entropy

Jin

Chang

et al. 2020

Behaviour & Information Technology

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Today, eye trackers are extensively used in user interface evaluations. However, it's still hard to analyze and interpret eye tracking data from the aesthetic point of view. To find quantitative links between eye movements and aesthetic experience, we tracked 30 observers' initial landings for 40 web pages (each displayed for 3 seconds). The web pages were also rated based on the observers' subjective aesthetic judgments. Shannon entropy was introduced to analyze the eye-tracking data. The result shows that the heatmap entropy (visual attention entropy, VAE) is highly correlated with the observers' aesthetic judgements of the web pages. Its improved version, relative VAE (rVAE), has a more significant correlation with the perceived aesthetics. (r=-0.65, F= 26.84, P<0.0001). This single metric alone can distinguish between good-and bad-looking pages with an approximate 85% accuracy. Further investigation reveals that the performance of both VAE and rVAE became stable after 1 second. The curves indicate that their performances could be better, if the tracking time was extended beyond 3 seconds.

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mentioning

confidence: 58%

Section: Eye Tracking and Webpage Aestheticsmentioning

confidence: 99%

Predicting webpage aesthetics with heatmap entropy

Jin

Chang

et al. 2020

Behaviour & Information Technology

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“…Especially the influence of cultural backgrounds [2,7,24] and the influence of sex [23,24] have been pointed out. Seckler and Tuch [27] were able to show that there is an influence of hue, luminance and saturation on the judgment of aesthetic design. Colorfulness as an influence factor in human computer interaction can be found when aesthetic perception is operationalized using questionnaires [15,22] and in models for algorithmic prediction of user interface aesthetics [20,24].…”

Section: Colorfulnessmentioning

confidence: 98%

“…Tuch, Bargas-Avila & Opwis [35] manipulated the symmetry of websites by hand and showed that a positive effect on intuitive, classical, as well as expressive aesthetics can be reached. Seckler and Tuch [27] were able to show that there is a strong positive influence of bilateral symmetry on categories of the aesthetics questionnaire VisAWI [22]. Miniukovich and De Angeli [20] used symmetry in their algorithmic prediction model for user interface aesthetics.…”

Section: Symmetrymentioning

confidence: 99%

“…In order to be able to formulate empirically valid recommendations for the aesthetic design of user interfaces, various attributes of user interfaces have been identified in empirical studies, which carry a relationship with aesthetics. Relevant predictors can be symmetry [27], the colorfulness or variety of colors [20,25] as well as the visual complexity [3,4,20,24,36] of a user interface.…”

Section: Introductionmentioning

confidence: 99%

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The Influence of User Interface Attributes on Aesthetics

Schmidt

Wolff

2018

I-Com

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In this paper we present an empirical study among 40 participants which investigates the relationship between various factors of user interface aesthetics on the one hand, and the influence of the user interface attributes, symmetry, colorfulness as well as visual complexity on user interface aesthetics on the other hand. The user interface aesthetics will be classified in intuitive aesthetics (1st impression with a presentation time of 500 ms) and reflective aesthetics (reflective long-term impression after a longer presentation). Reflective aesthetics is further classified in classical aesthetics (common attractiveness) as well as expressive aesthetics (creativity). For this study we have set up a corpus of 30 websites which are used as stimulus material. In a multi-step lab experiment, participants rate aesthetics and their subjective impression concerning user interface attributes using questionnaires. We are able to show that the intuitive aesthetic judgment correlates strongly with the reflective judgment. The symmetry of a website positively correlates with all definitions of aesthetics, especially with the classical or traditional interpretation in the sense of attractiveness. Visual complexity can be seen as the strongest predictor for the aesthetic judgement of users and it negatively correlates with all definitions. Concerning colorfulness, a preference for websites of a medium degree of colorfulness for the intuitive as well as the classical aesthetics can be stated. Concerning expressive aesthetics, websites of moderate to high colorfulness receive the best judgments. The relationships which we have found are finally discussed in the context of previous research and some implications for future user interface design are given.

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