TY - JOUR
T1 - User-centered design for knowledge imbalance analysis
T2 - 5th International Workshop on Visualization and Interaction for Ontologies and Linked Data, VOILA 2020
AU - Ramadhana, Nadyah Hani
AU - Darari, Fariz
AU - Hadi Putra, Panca O.
AU - Nutt, Werner
AU - Razniewski, Simon
AU - Akbar, Refo Ilmiya
N1 - Funding Information:
Our research was supported by the project grant ?Knowledge Graph-based AI - Analysis and Applications? by Universitas Indonesia. We thank Dinda Mutiara Qur'ani Putri for her help in analyzing the interview data. We also thank the anonymous reviewers for their detailed feedback. We are grateful to Lydia Pintscher and Elisabeth Giesemann for their support in the creation of a blog post of this research work.15
Publisher Copyright:
Copyright © 2020 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
PY - 2020
Y1 - 2020
N2 - Not all topics within a knowledge graph are represented at the same depth, which might lead to biased conclusions derived from the graph. Tools have been created in an effort to highlight knowledge imbalances, one of which is ProWD, built to analyze imbalances in the Wikidata knowledge graph. However, as often found, the usability aspect of Semantic Web tools is commonly overlooked, resulting in their limited acceptance. In this paper, we utilize the standard approach to improve usability, i.e., the User-Centered Design (UCD), for ProWD. We employ the full range of steps of UCD to improve the user experience of ProWD despite the complex nature of knowledge graph concepts underlying ProWD. The result of the ProWD redesign is then evaluated using the System Usability Scale (SUS) and User Experience Questionnaire (UEQ) scores, as well as the task success rate and completion time, suggesting that the overall usability of ProWD has successfully improved.
AB - Not all topics within a knowledge graph are represented at the same depth, which might lead to biased conclusions derived from the graph. Tools have been created in an effort to highlight knowledge imbalances, one of which is ProWD, built to analyze imbalances in the Wikidata knowledge graph. However, as often found, the usability aspect of Semantic Web tools is commonly overlooked, resulting in their limited acceptance. In this paper, we utilize the standard approach to improve usability, i.e., the User-Centered Design (UCD), for ProWD. We employ the full range of steps of UCD to improve the user experience of ProWD despite the complex nature of knowledge graph concepts underlying ProWD. The result of the ProWD redesign is then evaluated using the System Usability Scale (SUS) and User Experience Questionnaire (UEQ) scores, as well as the task success rate and completion time, suggesting that the overall usability of ProWD has successfully improved.
KW - Knowledge Imbalance
KW - User-Centered Design
KW - Wikidata
UR - http://www.scopus.com/inward/record.url?scp=85098230603&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:85098230603
SN - 1613-0073
VL - 2778
SP - 14
EP - 27
JO - CEUR Workshop Proceedings
JF - CEUR Workshop Proceedings
Y2 - 2 November 2020
ER -