Visualizing Magnitude

Borghouts, Judith; Soboczenski, Frank; Cairns, Paul; Brumby, Duncan P.

doi:10.1177/1541931215591130

Cited by 4 publications

(2 citation statements)

References 13 publications

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“…The data entry task is very important for several companies because it is a relatively straightforward task. The errors and the consequences can range from mildly annoying to very severe (Borghouts, Soboczenski, Cairns, & Brumby, 2015), by requiring additional information (Wiseman, Borghouts, Grgic, Brumby, & Cox, 2015) or using alternative input technology affecting the data entry processing (Oladimeji, Thimbleby, & Cox, 2011). The researchers confirm this by using several previous research statements that the data entry task is very suitable and chosen to develop in this study.…”

Section: Introductionsupporting

confidence: 51%

Work Performance Measurement of Data Entry Employees in E-Commerce Industry Based on Mental Workload Value

Soenandi

2019

ComTech

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This reseach aimed to measure the mental workload of data entry processing tasks in the e-commerce industry based on mental workload value. It was to determine the factors influencing mental workload mainly induced by the data entry process. The experiments without work instruction and with two types of work instruction were conducted to diagnose the mental workload. The measurement of the initial mental workload condition of data entry employees was conducted in the laboratory. Then, the Electroencephalogram (EEG) measurement using sensors from Emotiv was performed every 30 minutes, and the data of EEG measurements (focus, engagement, and stress) were collected using the laptop. Meanwhile, pulse measurement (heart rate) was measured before and after the work. Raw National Aeronautics and Space Administration Task Load Index (NASA-TLX) and reaction time measurement were conducted after the work. Through these experiments, the researchers identify that mental effort and fatigue are the significant determinants of mental workload value in the data entry process of the e-commerce industry. In respect of the results of work performance analysis, it is recommended that the placement of work instruction should be near the employee. Then, the task demand (minimum completion target) should be adjusted according to each employee’s capacity.

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Section: Introductionsupporting

confidence: 51%

Work Performance Measurement of Data Entry Employees in E-Commerce Industry Based on Mental Workload Value

Soenandi

2019

ComTech

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“…Incomplete information is a problem and the more information the better so that healthcare decisions are morally justified. Indeed, much of the recent health informatics work focuses on providing the maximum accurate information possible to avoid medical errors [5,6].…”

Section: Social Value and The Problem With Clinical Criteria For Triagementioning

confidence: 99%

Operative public values as a tool for healthcare decisions: the social value and clinical criteria of triage

Cordeiro‐Rodrigues

2022

Philos Ethics Humanit Med

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With the current pandemic, many scholars have contended that clinical criteria offer the best way to implement triage. Further, they dismiss the criteria of social value as a good one for triage. In this paper, I respond to refute this perspective. In particular, I present two sets of arguments. Firstly, I argue that the objections to the social value criteria they present apply to the clinical criteria they favor. Secondly, they exaggerate the negative aspects of the social value criteria, while I suggest it is reasonable to use this. I end the article by recommending how operative public values can be a good way to make triaging decisions.

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Does data visualization affect users’ understanding of electricity consumption?

Herrmann

Brumby

Oreszczyn

et al. 2017

Building Research & Information

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Different data visualizations are investigated for how they enable occupants to learn about domestic energy consumption. Smart metering can potentially encourage householders to change their behaviour and save energy. However, concerns exist about whether users understand domestic energy feedback. Two challenges are addressed: feedback displays typically show aggregate consumption and they show time-series data visualizations, which are difficult to relate to everyday actions in the household. A laboratory experiment (N = 43) assessed changes in participants' knowledge of how much electricity everyday actions consume after being exposed to different forms of energy-consumption data visualizations: (1) an aggregated time-series line graph, (2) a disaggregated time-series line graph and (3) a normalized disaggregated visualization that deemphasized time. Participants played an energy game both before and after they saw the simulation. Participants in condition (3) were more accurate and more confident in their post-test judgments about everyday domestic electricity consumption than other participants. These findings suggest that the type of data visualization affects users' understanding of domestic electricity consumption. The visualization of disaggregated energy feedback at the appliance level should be considered for future generations of technology.

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Visualizing Magnitude

Cited by 4 publications

References 13 publications

Work Performance Measurement of Data Entry Employees in E-Commerce Industry Based on Mental Workload Value

Work Performance Measurement of Data Entry Employees in E-Commerce Industry Based on Mental Workload Value

Operative public values as a tool for healthcare decisions: the social value and clinical criteria of triage

Does data visualization affect users’ understanding of electricity consumption?

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