Source Orientation in Human-Computer Interaction

By Shyam Sundar, Clifford Nass. Communication Research, 2000

314 citations recorded by the source corpus.

Subfields: Literature and Literary Theory, Sociology and Political Science, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/769d2adb10528348aee7db629e546ab647fe4280

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Citations in the corpus

Inhibitors and Enablers as Dual Factor Concepts in Technology Usage (2004, background): “Since users many times project a social presence onto computers (Kumar and Benbasat, 2002; Reeves and Nass, 1996; Sundar, 2000), it is likely that such misattribution occurs when a system is perceived to have negative characteristics.”
Artificial Intelligence and Journalism (2019, background): “HMC scholars also draw upon and generate scholarship that puts communication into dialogue with technology-focused fields, such as research that has shown that people treat computers as social actors (e.g., B. Reeves & Nass, 1998) and distinct sources of news (e.g., Sundar & Nass, 2000).”
How social is social responses to computers? The function of the degree of anthropomorphism in computer representations (2008, background): “Sundar and Nass (2000) have shown that computers are treated as an independent social actor, not as a representation of a programmer or another person over the network.”
UvA-DARE (Digital Academic Repository) Privacy concerns in chatbot interactions (unknown): “A human-like chatbot as a communication entity might be perceived as more personal and less anonymous, inducing more privacy concerns than a machine-like chatbot or a website [22, 35].”
Similarities and differences between human–human and human–automation trust: an integrative review (2007, background): “…1993, 1994, 1995, Nass and Moon 2000) that have demonstrated that social rules guiding human–human interaction may apply equally to human–computer interaction, with users responding to machines as independent entities rather than as a manifestation of their human creators (Sundar and Nass 2000).”
Can A Retail Web Site be Social? (2007, background): “The social response perspective assumes that a person’s orientation is toward the most proximate source of information (Sundar and Nass 2000).”
Building a Stronger CASA: Extending the Computers Are Social Actors Paradigm (2020, methodology): “The ability to enact and be perceived as a source of communication, rather than merely transmit it, indicates that a technological artifact has a degree of agency and is more than merely a channel (e.g., Sundar & Nass, 2000).”
behaviors on the perceived credibility of web-based information The role of site features, user attributes, and information verification (2007, background): “…2001b; Johnson and Kaye, 1998; Palmer et al., 2000; Shon et al., 2000), cross-media comparisons (Flanagin and Metzger, 2000; Kiousis, 2001; Sundar, 1999), source attributions (Sundar and Nass, 2000, 2001), and the role of users’ reliance on web-based information (Johnson and Kaye, 2000, 2002).”
Artificial intelligence and communication: A Human–Machine Communication research agenda (2019, background): “Although people know that a human programmed the machine, researchers have found that people direct their messages toward the device, not the programmer (Sundar and Nass, 2000).”
Effects of Information Source, Pedigree, and Reliability on Operator Interaction With Decision Support Systems (2007, background): “…Moon, Fogg, Reeves, & Dryer, 1995), which have demonstrated that social rules guiding human-human interaction may apply equally to human-computer interaction, with users responding to machines as independent entities rather than as a manifestation of their human creators (Sundar & Nass, 2000).”
Explicating Web Site Interactivity (2003, background): “A political campaign Web site is not a CMC system because it is not simply a medium but also a source of interaction (Sundar & Nass, 2000).”
Understanding Customer Trust in Agent-Mediated Electronic Commerce, Web-Mediated Electronic Commerce, and Traditional Commerce (2004, background): “For example, people respond to a computer entity as an independent social actor [ 91 ]; therefore, cognitive trust in the benevolence of a customer agent (i.e., a computer agent) exists.”