Recognizing User Behavior from Interactions for Adaptive Consumer Information Systems

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Date
2023
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
Consumer Information Systems, which experience widespread application, benefit substantially from adapting the conveyed information to specific user needs, by addressing various impairments such as color blindness, deficient preknowledge, and/or graph illiteracy. Ideally, to allow for an unperturbed exploration process, the system automatically recognizes and responds to the need for adaptation. While it has been shown that users' interactions with a system can be leveraged to this end, there exists no generalized taxonomy covering all possible interactions/processes and how they relate to each other. This paper garners different interactions, defined in the literature, and classifies them regarding complexity and inter-dependencies in a 'processes landscape'. Using this landscape, we outline a concept how low-level interactions (e.g., 'Clicking', 'Typing') can be combined with context-sensitive ones (e.g., 'Hovering') to estimate high-level behavior such as 'Reading' or 'Exploring'. Knowledge of the latter allows a system to intervene and adapt in a reasonably manner.
Description

CCS Concepts: Information systems -> Personalization; Human-centered computing -> Interactive systems and tools; Systems and tools for interaction design; Applied computing -> Health care information systems

        
@inproceedings{
10.2312:imet.20231251
, booktitle = {
International Conference on Interactive Media, Smart Systems and Emerging Technologies (IMET)
}, editor = {
Pelechano, Nuria
and
Liarokapis, Fotis
and
Rohmer, Damien
and
Asadipour, Ali
}, title = {{
Recognizing User Behavior from Interactions for Adaptive Consumer Information Systems
}}, author = {
Lengauer, Stefan
and
Bedek, Michael A.
and
Kupfer, Cordula
and
Shao, Lin
and
Albert, Dietrich
and
Schreck, Tobias
}, year = {
2023
}, publisher = {
The Eurographics Association
}, ISBN = {
978-3-03868-233-2
}, DOI = {
10.2312/imet.20231251
} }
Citation