Measuring the Screen Complexity of Web Pages

Fu, Fong-Ling; Chiu, S.; Su, Chiu Hung

doi:10.1007/978-3-540-73354-6_79

Cited by 8 publications

(3 citation statements)

References 7 publications

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“…Although we do not attempt to quantify information density here (e.g. calculating a screen complexity score (Fu et al, 2007)), it could be that these screens all display a relatively high amount of clinical and demographic data with minimal dead space. In addition, these four screens may provide a high degree of navigational flexibility, allowing users to access many other screens quickly by way of hyperlinks, tabs or expandable/collapsible menus.…”

Section: Discussionmentioning

confidence: 99%

Analysing EHR navigation patterns and digital workflows among physicians during ICU pre-rounds

Coleman

Gotz

Eaker

et al. 2020

HIM J

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Background: Some physicians in intensive care units (ICUs) report that electronic health records (EHRs) can be cumbersome and disruptive to workflow. There are significant gaps in our understanding of the physician–EHR interaction. Objective: To better understand how clinicians use the EHR for chart review during ICU pre-rounds through the characterisation and description of screen navigation pathways and workflow patterns. Method: We conducted a live, direct observational study of six physician trainees performing electronic chart review during daily pre-rounds in the 30-bed medical ICU at a large academic medical centre in the Southeastern United States. A tailored checklist was used by observers for data collection. Results: We observed 52 distinct live patient chart review encounters, capturing a total of 2.7 hours of pre-rounding chart review activity by six individual physicians. Physicians reviewed an average of 8.7 patients (range = 5–12), spending a mean of 3:05 minutes per patient (range = 1:34–5:18). On average, physicians visited 6.3 (±3.1) total EHR screens per patient (range = 1–16). Four unique screens were viewed most commonly, accounting for over half (52.7%) of all screen visits: results review (17.9%), summary/overview (13.0%), flowsheet (12.7%), and the chart review tab (9.1%). Navigation pathways were highly variable, but several common screen transition patterns emerged across users. Average interrater reliability for the paired EHR observation was 80.0%. Conclusion: We observed the physician–EHR interaction during ICU pre-rounds to be brief and highly focused. Although we observed a high degree of “information sprawl” in physicians’ digital navigation, we also identified common launch points for electronic chart review, key high-traffic screens and common screen transition patterns. Implications: From the study findings, we suggest recommendations towards improved EHR design.

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Section: Discussionmentioning

confidence: 99%

Analysing EHR navigation patterns and digital workflows among physicians during ICU pre-rounds

Coleman

Gotz

Eaker

et al. 2020

HIM J

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“…The level of alignment is the perpendicular and horizontal ordered degree of visual division (Alemerien and Magel, 2014;Fu et al, 2007). The balancedness means variances of the number of visual objects in each visual division.…”

Section: J Ergon Soc Koreamentioning

confidence: 99%

Developing Visual Complexity Metrics for Automotive Human-Machine Interfaces

Kim¹,

Hwangbo²,

Ji³

2015

Journal of the Ergonomics Society of Korea

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Objective: The purpose of this study is to develop visual complexity metrics based on theoretical bases. Background:With the development of IT technologies, drivers process a large amount of information caused by automotive human-machine interface (HMI), such as a cluster, a head-up display, and a center-fascia. In other words, these systems are becoming more complex and dynamic than traditional driving systems. Especially, these changes can lead to the increase of visual demands. Thus, a concept and tool is required to evaluate the complicated systems. Method:We reviewed prior studies in order to analyze the visual complexity. Based on complexity studies and human perceptual characteristics, the dimensions characterizing the visual complexity were determined and defined.Results: Based on a framework and complexity dimensions, a set of metrics for quantifying the visual complexity was developed. Conclusion:We suggest metrics in terms of perceived visual complexity that can evaluate the in-vehicle displays.Application: This study can provide the theoretical bases in order to evaluate complicated systems. In addition, it can quantitatively measure the visual complexity of In-vehicle information system and be helpful to design in terms of preventing risks, such as human error and distraction.

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“…Nevertheless, the relationship between both evaluation methods has been previously studied [13], even in usability research field [14], In this respect, some previous research works have focused on this area. In [3] and [15], the authors define different sets of parameters to evaluate the complexity of a web, but these studies do not provide a final model for evaluating aesthetics, and they depends of a screen division which is not an standardized process. In [16] the authors provide another simple method for assessing aesthetics considering the content elements of the web, but they do not take into account the color analysis.…”

Section: Related Workmentioning

confidence: 99%

MPEG-7 low level image descriptors for modeling users' web pages visual appeal opinion

Uribe

Álvarez

Menéndez

2015

2015 IEEE 5th International Conference on Consumer Electronics - Berlin (ICCE-Berlin)

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Abstract-The study of the users' web pages first impression is an important factor for interface designers, due to its influence over the final opinion about a site. In this regard, the analysis of web aesthetics can be considered as an interesting tool for evaluating this early impression, and the use of low level image descriptors for modeling it in an objective way represents an innovative research field. According to this, in this paper we present a new model for website aesthetics evaluation and users' opinion prediction based on the use of some parameters derived from the MPEG-7 standard, which are related to three different dimensions of the image: texture, chrominance and luminance. The obtained results confirms the power of our solution, as well as the usefulness of the model for reducing costs during the design and implementation process of new websites by providing a rapid feedback about the interface visual appeal.Index Terms-web aesthetics, first opinion, image descriptor, regression model.

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Measuring the Screen Complexity of Web Pages

Cited by 8 publications

References 7 publications

Analysing EHR navigation patterns and digital workflows among physicians during ICU pre-rounds

Analysing EHR navigation patterns and digital workflows among physicians during ICU pre-rounds

Developing Visual Complexity Metrics for Automotive Human-Machine Interfaces

MPEG-7 low level image descriptors for modeling users' web pages visual appeal opinion

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