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About this paper
Shuoqi Sun
This research outlines a plan to characterize how information seeking is changing with Generative AI, proposing the Information Seeking in Modern Information Environments (ISMIE) framework to theoretically understand these shifts. It details empirical studies designed to investigate user preferences for search interfaces and measure cognitive efforts during interactions with GenAI using neurophysiological signals.
Key insights
- The ISMIE framework offers a theoretical lens to systematically understand the dynamic nature of information seeking in GenAI-driven environments, outlining essential components, activities, and variables.
- Empirical investigation into user SUI preferences is crucial for informing the design of future Information Retrieval (IR) systems that are better aligned with evolving user needs and interaction patterns.
- Using neurophysiological signals provides objective insights into human cognitive processes, offering a deeper understanding of the mental demands and processes involved when users engage with AI-generated information.
Summary by alphaXiv.
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