Adapting visualizations and interfaces to the user-Reference-Cited by-同舟云学术

Adapting visualizations and interfaces to the user

Published:2022-08-01 Issue:4-5 Volume:64 Page:133-143
ISSN:2196-7032
Container-title:it - Information Technology
language:en
Short-container-title:

Author:

Chiossi Francesco¹,Zagermann Johannes²,Karolus Jakob¹,Rodrigues Nils³,Balestrucci Priscilla⁴,Weiskopf Daniel³,Ehinger Benedikt³,Feuchtner Tiare²,Reiterer Harald²,Chuang Lewis L.⁵,Ernst Marc⁴,Bulling Andreas³,Mayer Sven¹,Schmidt Albrecht¹

Affiliation:

1. LMU Munich , Munich , Germany

2. 26567 University of Konstanz , Konstanz , Germany

3. University of Stuttgart , Stuttgart , Germany

4. Ulm University , Ulm , Germany

5. TU Chemnitz Chemnitz , Germany

Abstract

Abstract Adaptive visualization and interfaces pervade our everyday tasks to improve interaction from the point of view of user performance and experience. This approach allows using several user inputs, whether physiological, behavioral, qualitative, or multimodal combinations, to enhance the interaction. Due to the multitude of approaches, we outline the current research trends of inputs used to adapt visualizations and user interfaces. Moreover, we discuss methodological approaches used in mixed reality, physiological computing, visual analytics, and proficiency-aware systems. With this work, we provide an overview of the current research in adaptive systems.

Funder

Deutsche Forschungsgemeinschaft

Publisher

Walter de Gruyter GmbH

Subject

General Computer Science

Link

https://www.degruyter.com/document/doi/10.1515/itit-2022-0035/pdf

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