Journal article
Wei Wang, LinLi, Shavindra Wickramathilaka, John Grundy, HouriehKhalajzadeh, Humphrey O. Obie, Anuradha Madugalla
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APA
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Wang, W., LinLi, Wickramathilaka, S., Grundy, J., HouriehKhalajzadeh, Obie, H. O., & Madugalla, A. Development of an Adaptive User Support System Based on Multimodal Large Language Models.
Chicago/Turabian
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Wang, Wei, LinLi, Shavindra Wickramathilaka, John Grundy, HouriehKhalajzadeh, Humphrey O. Obie, and Anuradha Madugalla. “Development of an Adaptive User Support System Based on Multimodal Large Language Models” (n.d.).
MLA
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Wang, Wei, et al. Development of an Adaptive User Support System Based on Multimodal Large Language Models.
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@article{wei-a,
title = {Development of an Adaptive User Support System Based on Multimodal Large Language Models},
author = {Wang, Wei and LinLi and Wickramathilaka, Shavindra and Grundy, John and HouriehKhalajzadeh and Obie, Humphrey O. and Madugalla, Anuradha}
}
Abstract
—As software systems become more complex, some users find it challenging to use these tools efficiently, leading to frustration and decreased productivity. We tackle the short-comings of conventional user support mechanisms in software and aim to create and assess a user support system that integrates Multimodal Large Language Models (MLLMs) for producing support messages. Our system initially segments the user interface to serve as a reference for selection and requests users to specify their preferences for support messages. Following this, the system creates personalised user support messages for each individual. We propose that user support systems enhanced with MLLMs can provide more efficient and bespoke assistance compared to conventional methods.
