HCI Vision for Automated Analysis and Mining of Web User Interfaces

Bakaev, Maxim; Heil, Sebastian; Khvorostov, Vladimir; Gaedke, Martin

doi:10.1007/978-3-319-91662-0_10

Cited by 15 publications

(8 citation statements)

References 9 publications

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“…In this chapter we first describe the Visual Analyzer tool that we developed for extracting WUI metrics through the HCI Vision approach [25] and applied for analysis of visual complexity. However, a single solution can hardly cover the numerous WUI metrics which keep emerging and being validated by researchers and designers.…”

Section: Methods and Toolsmentioning

confidence: 99%

“…In our paper (that extends previous work [25]) we describe both implementation of our own web UI visual analyzer tool (VA) and the platform we developed for integrating the metrics from different providers. We also demonstrate how the WUI metrics extracted with the novel HCI Vision approach can be useful in predicting users'perception of visual complexity.…”

Section: Research Problemmentioning

confidence: 99%

“…As described in [25], we undertook an experimental survey to collect subjective evaluations for homepages of several operational websites, per dimensions related to visual complexity. Since providing the evaluations in absolute numbers would be unattainable for the participants who were not web design professionals, we chose to rely on ordinal values.…”

Section: Subjective Evaluationsmentioning

confidence: 99%

“…In our decision to use the usual linear regression for modelling complexity in our research, we are well aware that dependent variable (SComplex) is of ordinal scale. However, ordinal regression (cf [25]…”

mentioning

confidence: 99%

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Auto-Extraction and Integration ofMetrics forWeb User Interfaces

Bakaev

Heil

Khvorostov

et al. 2019

JWE

Self Cite

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Metric-based assessment of web user interface (WUI) quality attributes is shifting from code (HTML/CSS) analysis to mining webpages'visual representations based on image recognition techniques. In our paper, we describe a visual analysis tool which takes a WUI screenshot and produces structured and machine-readable representation (JSON) of the interface elements' spatial allocation. The implementation is based on OpenCV (image recognition functions), dlib (trained detector for the elements' classification), and Tesseract (label and content text recognition). The JSON representation is used to automatically calculate several metrics related to visual complexity, which is known to have major effect on user experience with UIs. We further describe a WUI measurement platform that allows integration of the currently dispersed sets of metrics from different providers and demonstrate the platform's use with several remote services. We perform statistical analysis of the

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Section: Methods and Toolsmentioning

confidence: 99%

Section: Research Problemmentioning

confidence: 99%

Section: Subjective Evaluationsmentioning

confidence: 99%

mentioning

confidence: 99%

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Auto-Extraction and Integration ofMetrics forWeb User Interfaces

Bakaev

Heil

Khvorostov

et al. 2019

JWE

Self Cite

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“…Currently, there are some limitations in implementation due to specific requirements that focus on objective criteria in the visual representation of elements and semantically unstructured test-interface layouts. These mechanisms could be extended in the future with other non-visual criteria or automated user-interface web-mining functionalities [70] to retrieve "complexity signatures" on a large amount of pages that are part of a web portal. Experience Questionnaire), and task workload (NASA-Task Load Index questionnaire).…”

mentioning

confidence: 99%

Family-Centered Design: Interactive Performance Testing and User Interface Evaluation of the Slovenian eDavki Public Tax Portal

Trilar

Sobočan

Duh

2021

Sensors

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This is the latest article in a series of research on the family-centered design concept. The theoretical context was revisited and expounded to support its usefulness in conjunction with a user-centered design approach within distinct application domains. A very important contribution is applied through the development of the instruments—website capture, a public testing platform, results processing and the Web Content Accessibility Guide 2.1 recommendation tool—to conduct unmoderated remote testing of user interfaces that corresponds to the requirements of general digitalization efforts as well as the response to current and future health risks. With this set of instruments, an experiment was conducted to address the differences in usage, and performance-wise and user-based evaluation methods, of the eDavki public tax portal, among two generations, adults and elderly citizens, and between an original and an adapted user interface that respects accessibility and other recommendations. The differences found are further discussed and are congruent to particularities that have been modified within interfaces.

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Assessing Similarity for Case-Based Web User Interface Design

Bakaev

2018

Communications in Computer and Information Science

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HCI Vision for Automated Analysis and Mining of Web User Interfaces

Cited by 15 publications

References 9 publications

Auto-Extraction and Integration ofMetrics forWeb User Interfaces

Auto-Extraction and Integration ofMetrics forWeb User Interfaces

Family-Centered Design: Interactive Performance Testing and User Interface Evaluation of the Slovenian eDavki Public Tax Portal

Assessing Similarity for Case-Based Web User Interface Design

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