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Probabilistic UI Representation and Reasoning in Touch Interfaces

Title data

Buschek, Daniel:
Probabilistic UI Representation and Reasoning in Touch Interfaces.
In: Williamson, John H. ; Oulasvirta, Antti ; Kristensson, Per Ola ; Banovic, Nikola (ed.): Bayesian Methods for Interaction and Design. - Cambridge, UK ; New York, USA : Cambridge University Press , 2022 . - pp. 163-187
ISBN 978-1-108-79270-7
DOI: https://doi.org/10.1017/9781108874830

Project information

Project title:
Project's official titleProject's id
AI Tools - Continuous Interaction with Computational Intelligence ToolsNo information

Abstract in another language

This chapter describes and reflects on the ProbUI framework as an example of a probabilistic alternative to the representation of input behaviour in graphical user interfaces (GUIs), in particular for touch: Concretely, ProbUI treats touch input as uncertain and decouples the GUI elements' visuals from their internal representation of user behaviour. This opens up three generalisations beyond the current standard of bounding boxes, namely allowing for probabilistic handling of input behaviour, multiple such behaviour representations per GUI element, and sequential models. The chapter reflects on ProbUI and more broadly on probabilistic approaches for building GUIs, extracting a generalised perspective of viewing GUIs as a method for structuring signal and noise in an abstract input behaviour space. The chapter concludes with implications for the design of (touch) GUIs to improve usability and user experience, in particular by building adaptive GUIs that reason about, and react to, ongoing user input behaviour

Further data

Item Type: Article in a book
Refereed: Yes
Institutions of the University: Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
Date Deposited: 10 Nov 2022 12:10
Last Modified: 10 Nov 2022 12:10
URI: https://eref.uni-bayreuth.de/id/eprint/72744