The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Can computers be teammates?
Abstract
This study investigated the claim that humans will readily form team relationships with computers. Drawing from the group dynamic literature in human-human interactions, a laboratory experiment ( n =56) manipulated identity and interdependence to create team affiliation in a human-computer interaction. The data show that subjects who are told they are interdependent with the computer affiliate with the computer as a team. The data also show that the effects of being in a team with a computer are the same as the effects of being in a team with another human: subjects in the interdependence conditions perceived the computer to be more similar to themselves, saw themselves as more cooperative, were more open to influence from the computer, thought the information from the computer was of higher quality, found the information from the computer friendlier, and conformed more to the computer's information. Subjects in the identity conditions showed neither team affiliation nor the effects of team affiliation.
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“Across many different types of social situations, people also behave and interact with computers in ways that are common in human-human interactions, applying social norms derived from experiences with other people to interactions with computers.”
From Psychological, Relational, and Emotional Effects of Self-Disclosure After Conversations With a Chatbot (2018) · cites this paper as Nass, Fogg, & Moon, 1996
Citations
Cites
Anthropomorphism, agency, and ethopoeia: computers as social actors
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“According to this framework, people instinctively perceive, react to, and interact with computers as they do with other people, without consciously intending to do so (Reeves & Nass, 1996).”
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Metadata
- Authors
- Nass, C., Fogg, B. J., & Moon, Y.
- Venue
- International Journal of Human-Computer Studies
- Publisher
- Elsevier BV
- Published
- 1996-12
- Volume
- 45
- Issue
- 6
- Pages
- 669-678
- ISSN
- 1071-5819
- Cited by
- 536
- References
- 1
- Language
- en
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