Time-Penalty Impact on Effective Index of Difficulty and Throughputs in Pointing Tasks

Yamanaka, Shota; Yokota, Keisuke; Komatsu, Takanori

doi:10.1007/978-3-030-85610-6_7

Cited by 3 publications

(2 citation statements)

References 40 publications

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“…Schwab et al conducted crowdsourced page-scrolling tasks and found that Fitts' law held with R 2 = 0.983 and 0.972 for desktop and mobile devices, respectively [23]. Our research group has conducted crowdsourced experiments to evaluate several variations of Fitts law, and found that the fits were as high as in previous laboratory-based experiments [33], [42].…”

Section: Crowdsourced Studies On Gui Operationsmentioning

confidence: 66%

Sample-size and Repetition Effects on the Prediction Accuracy of Time and Error-rate Models in Steering Tasks

Yamanaka

2024

Journal of Information Processing

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A previous study on target pointing has shown that the accuracy of performance models improves as the number of participants and clicks increases, but the task was limited to artificially simplified one-dimensional movements. Practical user interfaces often require more complex operations, and thus we examine the effects of the number of participants and task repetitions on the fit of existing models for path-steering tasks. Empirical results showed that the model for predicting movement times consistently fitted the data with high accuracy, even when the numbers of participants and repetitions were small. However, the model for predicting error rates was less accurate in terms of R 2 , MAE, and RMSE. Therefore, the benefit of recruiting numerous participants is relatively greater for the error-rate prediction model, which supports the previous study on target-pointing tasks.

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Section: Crowdsourced Studies On Gui Operationsmentioning

confidence: 66%

Sample-size and Repetition Effects on the Prediction Accuracy of Time and Error-rate Models in Steering Tasks

Yamanaka

2024

Journal of Information Processing

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“…Because the outlier workers also exhibited trial-level outliers, the data from 4,513 trials were removed (2.40%), which was similar to previous studies [16,46].…”

Section: Outlier Data Screeningmentioning

confidence: 97%

Test-retest Reliability on Movement Times and Error Rates in Target Pointing

Yamanaka¹

2022

Designing Interactive Systems Conference

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Target-selection tasks have been frequently conducted to evaluate novel input devices and pointing-facilitation techniques. Recently, Sharif et al. showed that a unifed metric to evaluate the pointing performance, called throughput TP, was not stable across two sessions performed by the same participant group, which indicates poor test-retest reliability. Because there are cases in which using TP is inappropriate depending on the research topic, we extend their fnding to two other metrics: movement time MT and error rate ER. We demonstrated that, even for the participants who kept their TPs across two sessions stable, they would exhibit unstable MT s and ERs. Thus, if time allows, researchers should design their experiments to run multiple sessions for obtaining the central tendency of user performance, which increases the validity of their user studies. CCS CONCEPTS• Human-centered computing → HCI theory, concepts and models; Pointing.

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Varying Subjective Speed-accuracy Biases to Evaluate the Generalizability of Experimental Conclusions on Pointing-facilitation Techniques

Yamanaka¹,

Kinoshita

Oba

et al. 2023

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

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Time-Penalty Impact on Effective Index of Difficulty and Throughputs in Pointing Tasks

Cited by 3 publications

References 40 publications

Sample-size and Repetition Effects on the Prediction Accuracy of Time and Error-rate Models in Steering Tasks

Sample-size and Repetition Effects on the Prediction Accuracy of Time and Error-rate Models in Steering Tasks

Test-retest Reliability on Movement Times and Error Rates in Target Pointing

Varying Subjective Speed-accuracy Biases to Evaluate the Generalizability of Experimental Conclusions on Pointing-facilitation Techniques

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