Predicting user error for ambient systems by integrating model-based UI development and cognitive modeling

Halbrügge, Marc; Quade, Michael H.; Engelbrecht, Klaus-Peter; Möller, Sebastian; Albayrak, Şahin

doi:10.1145/2971648.2971667

Cited by 7 publications

(2 citation statements)

References 31 publications

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“…While this is useful to advance on task modeling notations, the lack of empirical studies on the use of task modeling tools prevents the community from moving forward. This is critical as novel applications of modeling tools are emerging in fields such as the Internet of Things and ubiquitous computing [8].…”

Section: Introductionmentioning

confidence: 99%

The usability of task modeling tools

Vigo

Santoro

Paternò

2017

2017 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)

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User interface modeling tools can play a useful role for engineering interactive systems. However, little is known about how these tools are used, the strategies and workarounds employed, and whether usability problems are encountered. To start answering this question, we run a user study with software engineers carrying out task modeling activities. The analysis of the data generated by an instrumented CTTE and an eyetracker uncovers five workflows that illustrate how the task model hierarchy is populated and edited, operators are added to tasks, and when model consistency is checked. These findings inform design implications for task modeling tools and formulate hypotheses for future work.

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Section: Introductionmentioning

confidence: 99%

The usability of task modeling tools

Vigo

Santoro

Paternò

2017

2017 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)

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show abstract

“…Cognitive architectures have been successfully applied to predict errors in different tasks [62,205]. However, they use simulations to estimate aggregate probability, i.e.…”

Section: Related Workmentioning

confidence: 99%