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Roberts, Larry E.; Rankin, Leigh R.; Silver, Edward A.; Moore, Darryl; Plunkett, Stephanie; Washburn, David A.; Wilch-Ringen, Brenda

doi:10.1145/766006.766010

Cited by 2 publications

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“…Prior research has found that attractiveness leads into better ratings of interfaces primarily due to the use of graphic elements, such as icons (Roberts et al 2003). Icons are one main component of GUI design, and results show that attractive and appropriately designed icons increase consumer interest and interaction within online storefront interfaces, such as app stores (Burgers et al 2016 .…”

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confidence: 98%

Development of measurement instrument for visual qualities of graphical user interface elements (VISQUAL): a test in the context of mobile game icons

Jylhä

Hamari

2020

User Model User-Adap Inter

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Graphical user interfaces are widely common and present in everyday human–computer interaction, dominantly in computers and smartphones. Today, various actions are performed via graphical user interface elements, e.g., windows, menus and icons. An attractive user interface that adapts to user needs and preferences is progressively important as it often allows personalized information processing that facilitates interaction. However, practitioners and scholars have lacked an instrument for measuring user perception of aesthetics within graphical user interface elements to aid in creating successful graphical assets. Therefore, we studied dimensionality of ratings of different perceived aesthetic qualities in GUI elements as the foundation for the measurement instrument. First, we devised a semantic differential scale of 22 adjective pairs by combining prior scattered measures. We then conducted a vignette experiment with random participant (n = 569) assignment to evaluate 4 icons from a total of pre-selected 68 game app icons across 4 categories (concrete, abstract, character and text) using the semantic scales. This resulted in a total of 2276 individual icon evaluations. Through exploratory factor analyses, the observations converged into 5 dimensions of perceived visual quality: Excellence/Inferiority, Graciousness/Harshness, Idleness/Liveliness, Normalness/Bizarreness and Complexity/Simplicity. We then proceeded to conduct confirmatory factor analyses to test the model fit of the 5-factor model with all 22 adjective pairs as well as with an adjusted version of 15 adjective pairs. Overall, this study developed, validated, and consequently presents a measurement instrument for perceptions of visual qualities of graphical user interfaces and/or singular interface elements (VISQUAL) that can be used in multiple ways in several contexts related to visual human-computer interaction, interfaces and their adaption.

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confidence: 98%

Development of measurement instrument for visual qualities of graphical user interface elements (VISQUAL): a test in the context of mobile game icons

Jylhä

Hamari

2020

User Model User-Adap Inter

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“…As it was also the case for generic user interfaces the various studies reported conflicting results regarding the usability-beauty relationship for websites leaving the debate to be inconclusive. Apart from perceived usability many other constructs were investigated showing indications of a positive influence of website aesthetics to perceived reliability (Basso et al, 2001), trustworthiness (Kim & Moon, 1998;Sillence et al, 2006;Cyr et al, 2008;Lindgaard, et al, 2011), credibility (Fogg et al, 2002;Fogg, et al, 2003;Papachristos & Avouris, 2011b), perceived information quality (Aladwani & Palvia, 2002;De Angeli et al, 2006;Hartmann, et al, 2007Hartmann, et al, , 2008b, satisfaction (Lindgaard & Dudek, 2003;Cyr, et al, 2008) and overall preference (Schenkman & Jönsson, 2000;Roberts et al, 2003;Hartmann, et al, 2008b;Papachristos & Avouris, 2011a). Research findings from the domain of marketing and e-commerce showed a positive influence of website aesthetics on buying intention (Parboteeah et al, 2009), in customer loyalty formation (Chang & Chen, 2009) and on intention of use (Mahlke, 2002).…”

Section: Website Aestheticsmentioning

confidence: 99%

Development of evaluation method for visual design with multivariate statistical techniques

Papachristos¹,

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These findings emphasize the need for methodologies and measurement tools that can be used to evaluate the quality of websites visual design. In practice, however, the rapid development cycle of websites usually results in design evaluation being overlooked, while final quality of the design relies only on the web designers' ability and experience. If visual design evaluation is conducted, it usually involves simple comparison of average user ratings on some semantic differential scales. This kind of evaluation, however, does not yield any useful information about possible improvements of the visual design. Furthermore, averaging over participants may introduce methodological flows. The assumption in the simple comparison of averages is that the mean statistic is representative of the whole sample. In real-life scenarios however, people do not always agree about what they like or what they prefer (Meullenet et al., 2007). Two websites, Case Study 2 Case Study 3 Case Study 4 Website genre University Department Hospital websites Hotel websites Web design companies Sample type Prototypes Actual websites Actual websites Actual websites Number of designs 6 15 18 12

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Cited by 2 publications

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Development of measurement instrument for visual qualities of graphical user interface elements (VISQUAL): a test in the context of mobile game icons

Development of measurement instrument for visual qualities of graphical user interface elements (VISQUAL): a test in the context of mobile game icons

Development of evaluation method for visual design with multivariate statistical techniques

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