Designing an intelligent UI/UX system based on the cognitive response for smart senior

Yun, You-Dong; Lee, Chanhee; Lim, Heuiseok

doi:10.1109/icsitech.2016.7852648

Cited by 3 publications

(11 citation statements)

References 8 publications

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“…According to [1], the sensory and cognitive processes can be measured using several approaches. To assess visual function, various sized and coloured objects and letters are given in their assessment.…”

Section: Related Work A) Data Acquisitionmentioning

confidence: 99%

“…Cognitive response Based' is defined by [1] as intelligently adjusting UI/UX system for the user-based cluster group based on the user's outline and the contents' characteristics, boosting content usability and user familiarity with the smart device.…”

Section: B) Personalized Systemmentioning

confidence: 99%

“…User Experience (UX) covers all elements of the user's contact with the company, its services, products, and overall customer experience [1]. The way a person feels when interacting with a system, such as a website, software, mobile application, or gadget, is referred to as the user experience.…”

Section: Introductionmentioning

confidence: 99%

“…Meeting the specific client demands and knowing their behavioural patterns is the most important prerequisite for a successful User Interface (UI). [1] also mention machine learning (ML) enables UI/UX Designers to provide consumers with next-level customization. Personalization based on ML is a more scalable and accurate approach to delivering a unique experience for each user.…”

Section: Introductionmentioning

confidence: 99%

“…Rather than segmenting consumers through rule-based customization, it enables us to provide these one-to-one experiences using algorithms, often in the form of product or content suggestions. However, smart device manufacturing businesses are designing mobile layouts just to sell their product, and no one is using this personalization concept in enhancing the elderly quality of life by thinking about what interface will make it easier for them to utilise smart devices [1].…”

Section: Introductionmentioning

confidence: 99%

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Personalized Instant Messaging UI Design for Elderly

Heree

Ujir

Hipiny

2022

2022 OITS International Conference on Information Technology (OCIT)

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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-folds) 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 result and be visualized using a mobile app interface builder.

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Section: Related Work A) Data Acquisitionmentioning

confidence: 99%

Section: B) Personalized Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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