Paper Info
Title
Predicting user error for ambient systems by integrating model-based UI development and cognitive modeling.
Abstract
With the move to ubiquitous computing, user interfaces (UI) are no longer bound to specific devices. While this problem can be tackled using the model-based UI development (MBUID) process, the usability of the device-specific interfaces is still an open question. We are presenting a combined system that integrates MBUID with a cognitive modeling framework in order to provide usability predictions at development time. Because of their potential impact, our focus within usability problems lies on user errors. These are captured in a cognitive model that capitalizes on meta-information provided by the MBUID system such as the abstract role of a UI element within a task sequence (e.g., input, output, command). The free parameters of the cognitive model were constrained using data from two previous studies. A validation experiment featuring a new application and UI yielded an unexpected error pattern that was nonetheless consistent with the model predictions.
Year
DOI
Venue
2016
10.1145/2971648.2971667
UbiComp
Keywords
Field
DocType
Automated Usability Evaluation, Human Error, Model-Based Engineering, Smart Home, Cognitive User Model
Computer science,Heuristic evaluation,Usability,User Error,Human–computer interaction,Cognitive walkthrough,Usability inspection,Ubiquitous computing,Cognitive model,User interface
Conference
Citations 
PageRank 
References 
2
0.39
20
Authors
5
Name
Order
Citations
PageRank
Marc Halbrügge141.44
Michael Quade2555.58
Engelbrecht, Klaus-Peter3112.64
Sebastian Möller4877141.17
sahin albayrak51298158.51