AI JOURNAL RAPHAEL S. SHELUKINGA - Copy.pdf

Artificial Intelligence (AI) has revolutionized human-computer interactions, but challenges persist in achieving seamless communication. This study explores strategies for improving AI-human interaction through real-time feedback mechanisms, context-awareness, and personalized responses. It identifies critical gaps in current systems and proposes a framework to enhance user experience. Findings show that AI responsiveness and adaptability are key factors influencing user satisfaction.

Publication Details

Journal
Figshare
Published
2025-01-01
DOI
https://doi.org/10.6084/m9.figshare.28464521.v1
Primary Topic
Innovative Human-Technology Interaction
Type
article
Field-Weighted Citation Impact
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AI JOURNAL RAPHAEL S. SHELUKINGA - Copy.pdf

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Innovative Human-Technology Interaction
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AI JOURNAL RAPHAEL S. SHELUKINGA - Copy.pdf

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Abstract

Artificial Intelligence (AI) has revolutionized human-computer interactions, but challenges persist in achieving seamless communication. This study explores strategies for improving AI-human interaction through real-time feedback mechanisms, context-awareness, and personalized responses. It identifies critical gaps in current systems and proposes a framework to enhance user experience. Findings show that AI responsiveness and adaptability are key factors influencing user satisfaction.

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Openalex Percentile: Top 50%
Innovative Human-Technology Interaction
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AI JOURNAL RAPHAEL S. SHELUKINGA - Copy.pdf · Figshare (2025) | TGRS Research Map | TGRS