Smart sheba: an investigation on the effectiveness of integrating LLM enabled chatbots and using a user-centred design strategy to enhance user experience of older adults
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024.
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Brac University
2024
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| 在线阅读: | http://hdl.handle.net/10361/22769 |
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10361-227692024-05-08T21:01:39Z Smart sheba: an investigation on the effectiveness of integrating LLM enabled chatbots and using a user-centred design strategy to enhance user experience of older adults Chisty, Sharfuddin Khan Abbasi, Khaled Imtiaz Afsana, Fairana Shefa, Sanjida Afroz Noor, Jannatun Department of Computer Science and Engineering, Brac University HCI eHealth UI design LLM Artificial intelligence--Medical applications Health--Data processing This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024. Cataloged from PDF version of thesis. Includes bibliographical references (pages 61-67). Elderly users face physical, behavioral, and cognitive constraints as they age. As a considerable portion of the world’s population comprises elderly people, the graphical user interfaces (GUI) of commercial technology applications should be simplified to mobilize this age bracket’s soft skills and technology consumption. Yet, the comfort of this age range is often overlooked while designing smart technology interfaces. Several studies indicate potential design strategies for different technologies. The paper, subsequently, tests an e-health application designed using UCD strategies, consisting of chatbots using AI, to meet the cognitive needs of the elderly and to make their interactions with the application easy, intuitive, and comfortable. The paper introduces the use of AI, specifically the Large Language Model (LLM) of the Natural Language Processing (NLP) system, to create a friendly and humanlike chatbot that will assist elderly individuals or their caretakers in determining the nature of the illness, suggest the type of specialist to refer to, and list down hospitals that provide the required care. This research aims to build an e-health application to study the design methodologies that might assist elderly people with intuitive instructions across all interfaces, explore new possibilities by incorporating User-Centric Designs (UCD) and Artificial Intelligence (AI) in the application, and propose findings to conclude a model design for conventional applications to exhibit an elderly-friendly framework. After testing out this application on elderly people (N = 18), the findings from the data gathered suggest design strategies that can be implemented or have further research done on them to empower the elderly population to use applications on smartphones and other smart devices independently. To conclude, this research seeks to suggest ways to optimize smartphones and smart devices for the cognitive needs of the elderly. This research will address the specific needs and preferences of elderly users and assist them with medical trepidations. By addressing this gap in design, this research seeks to effectively design e-health interfaces that can be altered and used in other such interface designs to make them elderly-friendly. Sharfuddin Khan Chisty Khaled Imtiaz Abbasi Fairana Afsana Sanjida Afroz Shefa B.Sc. in Computer Science 2024-05-08T03:47:32Z 2024-05-08T03:47:32Z ©2024 2024-01 Thesis ID: 21341043 ID: 23241060 ID: 22241172 ID: 19101056 http://hdl.handle.net/10361/22769 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 83 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
HCI eHealth UI design LLM Artificial intelligence--Medical applications Health--Data processing |
| spellingShingle |
HCI eHealth UI design LLM Artificial intelligence--Medical applications Health--Data processing Chisty, Sharfuddin Khan Abbasi, Khaled Imtiaz Afsana, Fairana Shefa, Sanjida Afroz Smart sheba: an investigation on the effectiveness of integrating LLM enabled chatbots and using a user-centred design strategy to enhance user experience of older adults |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024. |
| author2 |
Noor, Jannatun |
| author_facet |
Noor, Jannatun Chisty, Sharfuddin Khan Abbasi, Khaled Imtiaz Afsana, Fairana Shefa, Sanjida Afroz |
| format |
Thesis |
| author |
Chisty, Sharfuddin Khan Abbasi, Khaled Imtiaz Afsana, Fairana Shefa, Sanjida Afroz |
| author_sort |
Chisty, Sharfuddin Khan |
| title |
Smart sheba: an investigation on the effectiveness of integrating LLM enabled chatbots and using a user-centred design strategy to enhance user experience of older adults |
| title_short |
Smart sheba: an investigation on the effectiveness of integrating LLM enabled chatbots and using a user-centred design strategy to enhance user experience of older adults |
| title_full |
Smart sheba: an investigation on the effectiveness of integrating LLM enabled chatbots and using a user-centred design strategy to enhance user experience of older adults |
| title_fullStr |
Smart sheba: an investigation on the effectiveness of integrating LLM enabled chatbots and using a user-centred design strategy to enhance user experience of older adults |
| title_full_unstemmed |
Smart sheba: an investigation on the effectiveness of integrating LLM enabled chatbots and using a user-centred design strategy to enhance user experience of older adults |
| title_sort |
smart sheba: an investigation on the effectiveness of integrating llm enabled chatbots and using a user-centred design strategy to enhance user experience of older adults |
| publisher |
Brac University |
| publishDate |
2024 |
| url |
http://hdl.handle.net/10361/22769 |
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