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Understanding and Improving Information SearchChallenges for a Computational Cognitive Psychology for the New Digital Ecosystem

Understanding and Improving Information Search: Challenges for a Computational Cognitive... [Advances in computational cognitive psychology have played an important role in understanding and engineering human–information interaction systems. These computational models include several addressing the cognition involved in the human sensemaking process, user models that capture the knowledge that humans acquire from interaction, and how people judge the credibility of online Twitter users who influence decision-making. The models presented in this chapter build on earlier information foraging models in which it is important to model individual-level knowledge and experience because these clearly influence human–information interaction processes. This chapter concludes with a discussion of challenges to computational cognitive models as digital information interaction becomes increasingly pervasive and complex.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Understanding and Improving Information SearchChallenges for a Computational Cognitive Psychology for the New Digital Ecosystem

Part of the Human–Computer Interaction Series Book Series
Editors: Fu, Wai Tat; van Oostendorp, Herre
Pirolli, Peter
Understanding and Improving Information Search — May 30, 2020
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Publisher
Springer International Publishing
Copyright
© Springer Nature Switzerland AG 2020
ISBN
978-3-030-38824-9
Pages
13 –27
DOI
10.1007/978-3-030-38825-6_2
Publisher site
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Abstract

[Advances in computational cognitive psychology have played an important role in understanding and engineering human–information interaction systems. These computational models include several addressing the cognition involved in the human sensemaking process, user models that capture the knowledge that humans acquire from interaction, and how people judge the credibility of online Twitter users who influence decision-making. The models presented in this chapter build on earlier information foraging models in which it is important to model individual-level knowledge and experience because these clearly influence human–information interaction processes. This chapter concludes with a discussion of challenges to computational cognitive models as digital information interaction becomes increasingly pervasive and complex.]

Published: May 30, 2020

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