Layout Complexity: Does It Measure Usability?

Comber, Tim; Maltby, J. R.

doi:10.1007/978-0-387-35175-9_109

Cited by 19 publications

(6 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Effective performance of these components is crucial to provide users with an excellent aesthetic experience and ease of use across different screen sizes. Designing consistent and aesthetically pleasing layouts while avoiding complex arrangements is essential [80]. Another important aspect of layout design is visual balance.…”

Section: Designmentioning

confidence: 99%

Conceptualization and Survey Instrument Development for Over-the-Top Platforms’ Usability

Pekpazar,

Coskun,

Altin Gumussoy

2023

JTAER

View full text Add to dashboard Cite

OTT (over-the-top) streaming is a subscription-based video service model that delivers video-on-demand content, films, and series directly to end-users over the Internet, bypassing the need for traditional satellite receiver systems. The most popular OTT service providers include Netflix, Hulu, Amazon Prime, and Disney+. During the COVID-19 pandemic, the viewership rates and subscriber numbers for OTT platforms rapidly increased. Like various other products and systems, usability problems can substantially impact user satisfaction, loyalty, and the intention to continue using OTT services. Therefore, this study aimed to conceptualize the usability of OTT platforms and develop an OTT Usability Measurement Scale for the usability evaluation of OTT platforms based on the Apple tvOS Guidelines and the literature. OTT platform usability was conceptualized with nine constructs, including Accessibility and Customization, Account Management, Data Entry and Search, Branding, Privacy, Navigation, Help, Content, and Design, and the concepts were measured with a scale including 48 items. The validity of the developed scale was tested through two separate survey studies conducted with Netflix web application users. The first survey involved 650 participants. At this stage, an exploratory factor analysis was used to evaluate the scale’s measurement properties, and the developed factor structure was confirmed. In the second stage, a survey with 600 participants was conducted, and a confirmatory factor analysis was applied to validate the scale properties. Furthermore, a nomological validation of the developed scale was performed, examining the relationship between the acquired OTT factors and elements such as continued intention to use, satisfaction, and brand loyalty. As a result of the nomological validation, it was observed that the privacy and design factors significantly affected each of the three dependent variables.

show abstract

Section: Designmentioning

confidence: 99%

Conceptualization and Survey Instrument Development for Over-the-Top Platforms’ Usability

Pekpazar,

Coskun,

Altin Gumussoy

2023

JTAER

View full text Add to dashboard Cite

show abstract

“…This approach has been materialised into a set of low-level metrics (e.g. amount of elements, size of elements, amount of colors, such as in Sherlock (Mahajan and Shneiderman (1997)), one high-level metric at a time (such as the Layout Complexity (Comber and Maltby (1997)) or the Layout Appropriateness (Sears (1993)) or a set of high-level metrics (such as metrics borrowed from visual design). When aesthetics are attempted to be characterised by a set of metrics, some approaches are aimed at minimizing the amount of metrics required to grasp aesthetics as a whole (e.g.…”

Section: Aesthetic Metricsmentioning

confidence: 99%

Assessing User Interface Aesthetics based on the Inter-subjectivity of Judgment

Zen

Vanderdonckt

2016

Electronic Workshops in Computing

View full text Add to dashboard Cite

How to assess user interface aesthetics?" remains a question faced by many user interface researchers and designers during the user interface development life cycle since aesthetics positively influence usability, user experience, pleasureability, and trust. Visual techniques borrowed from visual design suggest that the graphical user interface layout could be assessed by aesthetic metrics such as balance, symmetry, proportion, regularity, and simplicity, to name a few. Whereas different formulas exist for computing each aesthetic metric and different interpretations to sum up their results, no consensus exists today on how to consistently evaluate these metrics in a way that is aligned with human judgement, which is intrinsically subjective. In order to address the challenging alignment of human subjectivity with machine objectivity, this paper reports on an experiment comparing the results issued from the inter-subjectivity of judgment of fifteen participants evaluating four main aesthetic metrics on a sample of ten graphical user interfaces and the values of these metrics calculated semi-automatically by a web-based application. The experiment suggests that some metrics, e.g. symmetry, proportion, simplicity, as computed from the formula are actually positively correlated with human judgment, while some other metrics, such as balance, are surprisingly not correlated with the formula computed, thus indicating that another formula or another interpretation should be determined. Therefore, a new formula for computing balance is defined that decomposes balance into horizontal and vertical balances which re-establish a correlation. This paper then provides some new insights on how to rely on these aesthetic metrics and other related metrics, whether they are interpreted manually or computed automatically.

show abstract

“…Second, it returns a set of widgets that does not account for the interface layout nor constraints such as the screen size. Notably, it does not leverage the body of HCI research that has studied and quantified interface layout and usability (Comber and Maltby 1997;Gajos and Weld 2004). Third, it ignores the effort needed to use the interface to express the sequence of input queries.…”

Section: Introductionmentioning

confidence: 99%

Monte Carlo Tree Search for Generating Interactive Data Analysis Interfaces

Chen

2020

Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data

View full text Add to dashboard Cite

Interactive tools like user interfaces help democratize data access for end-users by hiding underlying programming details and exposing the necessary widget interface to users. Since customized interfaces are costly to build, automated interface generation is desirable. SQL is the dominant way to analyze data and there already exists logs to analyze data. Previous work proposed a syntactic approach to analyze structural changes in SQL query logs and automatically generates a set of widgets to express the changes. However, they do not consider layout usability and the sequential order of queries in the log. We propose to adopt Monte Carlo Tree Search(MCTS) to search for the optimal interface that accounts for hierarchical layout as well as the usability in terms of how easy to express the query log.

show abstract

Layout Complexity: Does It Measure Usability?

Cited by 19 publications

References 6 publications

Conceptualization and Survey Instrument Development for Over-the-Top Platforms’ Usability

Conceptualization and Survey Instrument Development for Over-the-Top Platforms’ Usability

Assessing User Interface Aesthetics based on the Inter-subjectivity of Judgment

Monte Carlo Tree Search for Generating Interactive Data Analysis Interfaces

Contact Info

Product

Resources

About