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Research based on the Computers-Are-Social-Actors (CASA) paradigm has documented that people’s responses to computers are fundamentally “social”—that is, people apply social rules, norms, and expectations core to interpersonal relationships when they interact with computers. In light of the CASA paradigm, identifying the conditions that foster or undermine trust in the context of interpersonal communication and relationships may help us better understand the trust dynamics in human-computer communication. This chapter discusses experimental studies grounded in the CASA paradigm that demonstrate how (1) perceived people-computer similarity in personality, (2) manifestation of caring behaviors in computers, and (3) consistency in human/non-human representations of computers affect the extent to which people perceive computers as trustworthy.
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Papers that cite the same references — the relational fallback while embeddings are still backfilling.
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