Personalized Instant Messaging UI Design for Elderly

Nurul Sakinah, Mohd Heree and Hamimah, Ujir and Irwandi Hipni, Mohamad Hipiny (2022) Personalized Instant Messaging UI Design for Elderly. In: OITS International Conference on Information Technology 2022 (OCIT2022), 14-16 December 2022, KIIT University, Bhubaneswar, India.

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Abstract

There is a paucity of studies on the consumption of digital content by elderly people utilising smart devices as well as strategies to get elderly people acquainted with smart gadgets. Usability and familiarity with smart devices for senior persons to utilise and get the most out of smart devices and digital content must be prioritised. A cognitive reaction-based intelligent UI suited for senior persons is proposed in this paper, which is based on the user's cognitive performance and demographics. A cognitive response feedback and demography dataset was built by interviewing a group of elderly in Malaysia. The context of the interview is associated with the unique cognitive keywords that may be anticipated by contextual semantic search. In this paper, two classifiers are used, Support Vector Machine (SVM), and Naïve Bayes (NB), and they are compared in terms of classification performances. The classifiers are validated using k-fold cross-validation (10-fold) using unigram TF-IDF and bigram TF-IDF, and the results were presented using accuracy, precision, recall, and F1 scores. Thus, user interface (UI) pre-sets lists will be matched to the user model based on the dataset classification.

Item Type: Proceeding (Paper)
Additional Information: Information, Communication and Creative Technology
Uncontrolled Keywords: personalization, user interface design, machine learning classification, elderly.
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology
Faculties, Institutes, Centres > Faculty of Computer Science and Information Technology
Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology
Depositing User: Ujir
Date Deposited: 13 Feb 2023 06:49
Last Modified: 09 Jan 2024 02:22
URI: http://ir.unimas.my/id/eprint/41305

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