Article ID Journal Published Year Pages File Type
4937112 Computers in Human Behavior 2017 40 Pages PDF
Abstract
As human-machine communication has yet to become prevalent, the rules of interactions between human and intelligent machines need to be explored. This study aims to investigate a specific question: During human users' initial interactions with artificial intelligence, would they reveal their personality traits and communicative attributes differently from human-human interactions? A sample of 245 participants was recruited to view six targets' twelve conversation transcripts on a social media platform: Half with a chatbot Microsoft's Little Ice, and half with human friends. The findings suggested that when the targets interacted with Little Ice, they demonstrated different personality traits and communication attributes from interacting with humans. Specifically, users tended to be more open, more agreeable, more extroverted, more conscientious and self-disclosing when interacting with humans than with AI. The findings not only echo Mischel's cognitive-affective processing system model but also complement the Computers Are Social Actors Paradigm. Theoretical implications were discussed.
Related Topics
Physical Sciences and Engineering Computer Science Computer Science Applications
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