@inproceedings{148a885086494bf38cf5aa87c84a801d,
title = "The Adaptation of a Post-Acceptance Model for Information System Continuance in Recommender Systems",
abstract = "Recommender systems (RS) are extensively deployed to provide online users with advisory services, and the design of RS functional features has received substantial attention in academic studies. The social aspects of human-RS interactions, however, have been less explored. Furthermore, measuring user experience, though natural in a business environment, is often challenging for RS research. Therefore, this study provides the first empirical test of the adaptation of a post-acceptance model for information system continuance in the context of recommender systems. An experimental design is used and a questionnaire is developed to analysis. The results demonstrate that the proposed model is supported and the visual recommender system can indeed significantly enhance user satisfaction and continuance intention.",
author = "Liang, {Wen Yau}",
year = "2017",
month = nov,
day = "15",
doi = "10.1109/IIAI-AAI.2017.147",
language = "English",
series = "Proceedings - 2017 6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "369--372",
editor = "Kiyota Hashimoto and Naoki Fukuta and Tokuro Matsuo and Sachio Hirokawa and Masao Mori and Masao Mori",
booktitle = "Proceedings - 2017 6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017",
address = "United States",
note = "6th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2017 ; Conference date: 09-07-2017",
}