Computational models and experimental investigations of effects of balance and symmetry on the aesthetics of text-overlaid images

Lai, Chien-Yin; Chen, Pai-Hsun; Shih, Sheng-Wen; Liu, Yili; Hong, Jen-Shin

doi:10.1016/j.ijhcs.2009.08.008

Cited by 47 publications

(25 citation statements)

References 25 publications

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“…Kawabata & Zeki, 2004;Vartanian & Goel, 2004); the visual complexity of pictures, websites and graphic patterns has a significant influence on aesthetic appeal judgements (e.g. Berlyne, 1974;Bauerly & Liu, 2008;Jacobsen & Hofel, 2002;Lai et al, 2010;Moshagen & Theilsch, 2010Orth & Wirtz, 2014); and, of course, familiarity enhances appeal for a wide range of…”

Section: Stimulus Characteristics That Might Affect Icon Appeal Evalumentioning

confidence: 99%

What makes icons appealing? The role of processing fluency in predicting icon appeal in different task contexts

et al. 2016

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Although icons appear on almost all interfaces, there is a paucity of research examining the determinants of icon appeal. The experiments reported here examined the icon characteristics determining appeal and the extent to which processing fluency -the subjective ease with which individuals process information -was used as a heuristic to guide appeal evaluations. Participants searched for, and identified, icons in displays. The initial appeal of icons was held constant while ease of processing was manipulated by systematically varying the complexity and familiarity of the icons presented and the type of task participants were asked to carry out. Processing fluency reliably influenced users' appeal ratings and appeared to be based on users' unconscious awareness of the ease with which they carried out experimental tasks.

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Section: Stimulus Characteristics That Might Affect Icon Appeal Evalumentioning

confidence: 99%

What makes icons appealing? The role of processing fluency in predicting icon appeal in different task contexts

et al. 2016

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“…Moreover, these measures can provide researchers with quantitative tools that can help in systematical study of different design aspects and give a numerical basis for direct comparison between different design proposals. These measures can also be useful in cases where on-the-fly designs are needed for nonprofessional designers as in online tools for designing websites [15].…”

Section: Screen Layout-based Measuresmentioning

confidence: 99%

“…The reason for using abstract screens is to be able to easily manipulate and study the related elements in a controlled environment that would insure obtaining statistically valid results. This procedure was also used in similar previous studies [14,15].…”

Section: Introductionmentioning

confidence: 99%

Investigating Effects of Screen Layout Elements on Interface and Screen Design Aesthetics

Altaboli

Lin

2011

Advances in Human-Computer Interaction

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A recent study suggested the use of the screen layout elements of balance, unity, and sequence as a part of a computational model of interface aesthetics. It is argued that these three elements are the most contributed terms in the model. In the current study, a controlled experiment was designed and conducted to systematically investigate effects of these three elements (balance, unity, and sequence) on the perceived interface aesthetics. Results showed that the three elements have significant effects on the perceived interface aesthetics. Significant interactions were also found among the three elements. A regression model relating the perceived visual aesthetics to the three elements was constructed. When validating the model using standard questionnaire scores of real web pages, high correlations were found between the values computed by the model and scores of questionnaire items related to visual layout of the web pages, indicating that layout-based measures are good at assessing the classical dimension of website aesthetics.

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“…Computational aesthetic modeling attempts to overcome this problem by proposing objective measure of aesthetics [10,16,24].…”

Section: Related Workmentioning

confidence: 99%

Semi-supervised Learning Based Aesthetic Classifier for Short Animations Embedded in Web Pages

Bansal

Bhattacharya

2013

Human-Computer Interaction – INTERACT 2013

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Abstract. We propose a semi-supervised learning based computational model for aesthetic classification of short animation videos, which are nowadays part of many web pages. The proposed model is expected to be useful in developing an overall aesthetic model of web pages, leading to better evaluation of web page usability. We identified two feature sets describing aesthetics of an animated video. Based on the feature sets, we developed a Naïve-Bayes classifier by applying Co-training, a semi-supervised machine learning technique. The model classifies the videos as good, average or bad in terms of their aesthetic quality. We designed 18 videos and got those rated by 17 participants for use as the initial training set. Another set of 24 videos were designed and labeled using Co-training. We conducted an empirical study with 16 videos and 23 participants to ascertain the efficacy of the proposed model. The study results show 75% model accuracy.

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Computational models and experimental investigations of effects of balance and symmetry on the aesthetics of text-overlaid images

Cited by 47 publications

References 25 publications

What makes icons appealing? The role of processing fluency in predicting icon appeal in different task contexts

What makes icons appealing? The role of processing fluency in predicting icon appeal in different task contexts

Investigating Effects of Screen Layout Elements on Interface and Screen Design Aesthetics

Semi-supervised Learning Based Aesthetic Classifier for Short Animations Embedded in Web Pages

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