A User-centric System for Improving Human-Computer Interaction through Fuzzy Logic-based Assistive Messages

Christos Troussas, Akrivi Krouska, Cleo Sgouropoulou

2021

Abstract

The fast growth of the internet and communication technology in recent years has resulted in rendering computers easily accessible to everyone. However, people have different knowledge and characteristics that can affect their ability to use computers and at the same time create barriers to achieve an effective user experience. The reason for this is to provide dynamic adaptability to users' individual needs. In view of this compelling need, this paper presents a user-centric system that seeks mainly to improve the interaction of users with the software they use. To achieve this, the system employs fuzzy logic to model the computer knowledge of users and based on this classification, it delivers assistive messages, which are pertinent to the interaction with the system. These messages are tailored to the user groups that have been created, as well as the degree of detail which is more adequate for each group. As a testbed for our research, the presented approach has been incorporated in a learning management system to support tutors towards having a better experience while interacting with this software. The system has been evaluated by users during the COVID-19 lockdown with promising results.

Paper Citation

in Harvard Style

Troussas C., Krouska A. and Sgouropoulou C. (2021). A User-centric System for Improving Human-Computer Interaction through Fuzzy Logic-based Assistive Messages. In Proceedings of the 17th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST, ISBN 978-989-758-536-4, pages 365-370. DOI: 10.5220/0010702800003058

in Bibtex Style

@conference{webist21,
author={Christos Troussas and Akrivi Krouska and Cleo Sgouropoulou},
title={A User-centric System for Improving Human-Computer Interaction through Fuzzy Logic-based Assistive Messages},
booktitle={Proceedings of the 17th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,},
year={2021},
pages={365-370},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010702800003058},
isbn={978-989-758-536-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,
TI - A User-centric System for Improving Human-Computer Interaction through Fuzzy Logic-based Assistive Messages
SN - 978-989-758-536-4
AU - Troussas C.
AU - Krouska A.
AU - Sgouropoulou C.
PY - 2021
SP - 365
EP - 370
DO - 10.5220/0010702800003058