Efficiency assessment of an e-commerce data management tool using learning curves

Rivera, Diego; Eng, P.

doi:10.1037/e577232012-034

Cited by 2 publications

(3 citation statements)

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“…A three-period moving average was computed based on the average time taken for each trial. The data was plotted and fit to a power function [Rivera, 2004], as shown in Figures 6 and 7. The computed learning coefficients for each of the experimental conditions are shown in Table 2 below: A repeated measure, Analysis of Variance (ANOVA), on the learning coefficients showed a significant main effect on customization mode (F(1,44)=7.71 , p < .008).…”

Section: Ui Efficiency As Measured By Learning Curvesmentioning

confidence: 99%

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The Effect of Information Overhead on Perceived Workload and Learning

Rivera

2005

Proceedings of the Human Factors and Ergonomics Society Annual

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E-commerce sites today contain variety product information to inform shoppers about a company's products offerings. Although the number of attributes used to describe products depends on the product being described, attributes can be in the hundreds. One of the key business challenges is to maintain the ever increasing product information up-to-date. It is important that data management tools used for these tasks are efficient and easy to use. The present study describes the effect of information overhead on perceived workload. Participants were asked to create 20 different products using four different web prototypes that varied in content density and customization capability. Mean time on task over 20 trials was fit using a power function and perceived workload was collected using NASA Task Load Index. The results obtained indicate that unused information does increase perceived workload and negatively affect performance. Also, that UI customization can help reduce perceived workload and allow users to reach peak performance faster. Finally, participants performed faster and with higher satisfaction under the customization conditions.

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Section: Ui Efficiency As Measured By Learning Curvesmentioning

confidence: 99%

“…Learning coefficients of learning curves of 95% and 93% were found for the customization and no customization conditions, respectively. Learning curves were used because they have been demonstrated to be sensitive to learning behavior as an indicator of ease of use [Rivera, 2004].…”

Section: Ui Efficiency As Measured By Learning Curvesmentioning

confidence: 99%

The Effect of Information Overhead on Perceived Workload and Learning

Rivera

2005

Proceedings of the Human Factors and Ergonomics Society Annual

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“…Learning coefficients of Learning curves of 95% and 93% were found for the customization and no customization conditions respectively. Learning curves were used because they have demonstrated the sensitivity of learning behavior as an indicator of ease of use[8]. Learning curves for high density treatmentsLDC vs LDNC 3-Period Moving Average of Time on Task…”

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confidence: 99%

The effect of content customization on learnability and perceived workload

Rivera

2005

CHI '05 Extended Abstracts on Human Factors in Computing Systems

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One of the key e-commerce challenges is to maintain an increasing amount of information up-to-date. This is a challenging task because frequently there is a substantial amount of data being created under tight deadlines. It is important that data management tools used for these tasks are efficient and easy to use. The present study describes the effect of UI content customization on learnability and perceived workload. Participants were asked to create 20 different products using four different web prototypes that varied in content density and customization capability. Mean time on task over 20 trials was fit using a power function and perceived workload was collected using NASA Task Load Index. The results obtained indicate that content customization allows users to reach peak performance faster and reduce task learning. Also, content customization reduces perceived mental demand and frustration as content density increases. Finally, participants performed faster and with higher satisfaction under the customization conditions.

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Efficiency assessment of an e-commerce data management tool using learning curves

Cited by 2 publications

References 0 publications

The Effect of Information Overhead on Perceived Workload and Learning

The Effect of Information Overhead on Perceived Workload and Learning

The effect of content customization on learnability and perceived workload

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