| Autor: |
Syed Asil Ali Naqvi, Zaheeruddin Asif, Naveen Zehra Quazilbash |
| Rok vydání: |
2018 |
| Předmět: |
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| Zdroj: |
Information Systems and Neuroscience ISBN: 9783030010867 |
| DOI: |
10.1007/978-3-030-01087-4_17 |
| Popis: |
Significant research has been conducted on human decision making behavior in recommendation systems during the past decade, yet it remains a challenge to design effective and efficient recommendation systems so that they not only produce useful suggestions and ease the decision making task but also turn it into a pleasurable experience. Algorithms have been designed based on research that highlight individual theoretical constructs yet there is an absence of a comprehensive model of human decision-making. This research offers an insight into the core of this issue by examining the neural correlates of human decision-making using Electroencephalography (EEG). The insights generated maybe used to construct a comprehensive model of human decision making in recommendation systems and generate new design principles for the same. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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