Designing User-Friendly Interfaces with Human-Centered AI

This research aims to explore the potential of using mortal-centric artificial intelligence in the process of creating interfaces that support the lifestyles of stoners. It emphasizes the importance of stoner experience and the practicality of the most advanced technologies now on the market. The goal of this research is to better understand the ideas behind mortal-centered design so that we can use AI to improve how stoners interact with digital interfaces. The goal of this investigation is to create user interfaces that can adapt to the unique requirements and tastes of each stoner. This is the inquiry's objective. To achieve this, the principles of intuitive design and adaptive literacy algorithms will be applied. To determine the effectiveness of these AI-powered interfaces, a mixed-style approach is required. This technique combines the qualitative input from stoners with the quantitative needs for usability. The idea of employing artificial intelligence focused on mortals to transform stoner interface design is being advanced, as the main findings show notable gains in stoner pleasure and engagement. The goal of this study is to contribute to the emerging field of human-computer commerce by providing insight into the creation of digital environments that are more user-friendly and accessible to stoners through the deployment of potent artificial intelligence techniques. By giving information regarding the creation of digital environments, this will be achieved.

Authors

Publication Details

Published
2024-12-12
DOI
https://doi.org/10.1109/icses63760.2024.10910521
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
0.00
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article

Designing User-Friendly Interfaces with Human-Centered AI

R. Hemalatha, K Sujana, Jagana Deepak Kumar
Human-Automation Interaction and Safety
article

Designing User-Friendly Interfaces with Human-Centered AI

R. Hemalatha, K Sujana, Jagana Deepak Kumar
article en

Abstract

This research aims to explore the potential of using mortal-centric artificial intelligence in the process of creating interfaces that support the lifestyles of stoners. It emphasizes the importance of stoner experience and the practicality of the most advanced technologies now on the market. The goal of this research is to better understand the ideas behind mortal-centered design so that we can use AI to improve how stoners interact with digital interfaces. The goal of this investigation is to create user interfaces that can adapt to the unique requirements and tastes of each stoner. This is the inquiry's objective. To achieve this, the principles of intuitive design and adaptive literacy algorithms will be applied. To determine the effectiveness of these AI-powered interfaces, a mixed-style approach is required. This technique combines the qualitative input from stoners with the quantitative needs for usability. The idea of employing artificial intelligence focused on mortals to transform stoner interface design is being advanced, as the main findings show notable gains in stoner pleasure and engagement. The goal of this study is to contribute to the emerging field of human-computer commerce by providing insight into the creation of digital environments that are more user-friendly and accessible to stoners through the deployment of potent artificial intelligence techniques. By giving information regarding the creation of digital environments, this will be achieved.

Openalex Percentile: Top 64%
Human-Automation Interaction and Safety
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