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DBLP
Article . 2024
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Enabling Intentional Human Engagement with AI

Authors: Bushra Anjum;

Enabling Intentional Human Engagement with AI

Abstract

In this interview, Ubiquity's senior editor, Dr. Bushra Anjum, chats with Ming Yin, an assistant professor at Purdue University, about how intentional human interactions can fully realize the potential of AI in augmenting human intelligence. We also discuss Dr. Yin's research to empirically understand how humans engage with AI, computationally model this engagement, and design interventions to improve humans' engagement with AI by both influencing human behavior and adjusting AI designs.

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Published in a Diamond OA journal