Does computer-synthesized speech manifest personality? Experimental tests of recognition, similarity-attraction, and consistency-attraction.

By Clifford Nass, Kwan Min Lee. Journal of experimental psychology. Applied, 2001

555 citations recorded by the source corpus.

Subfields: Clinical Psychology, Experimental and Cognitive Psychology, Social Psychology

View Paper: https://www.semanticscholar.org/paper/97c709ce30c43e4333a89c78d4a48e7b4ce06693

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Citations in the corpus

Trust in Automation: Designing for Appropriate Reliance (2004, background): “In addition, people may attribute intentionality and impute motivation to automation as it becomes increasingly sophisticated and takes on human characteristics, such as speech communication (Barley, 1988; Nass & Lee, 2001; Nass & Moon, 2000).”
The Multiple Source Effect and Synthesized Speech: Doubly-Disembodied Language as a Conceptual Framework (2004, methodology): “In fact, previous work has empirically shown that if the language and vocal cues are mismatched, people will be confused, less convinced, and have negative feelings about the synthesized speech they heard (Nass & Lee, 2001).”
The media inequality: Comparing the initial human-human and human-AI social interactions (2017, background): “They found that introverted participants would like to interact with a computer that has introverted voice, while extroverted participants preferred to talk with an extroverted computer (Nass & Lee, 2001).”
From ‘automation’ to ‘autonomy’: the importance of trust repair in human–machine interaction (2018, unknown): “…will become a required interface feature because we believe it represents an optimal (high-bandwidth, but low-resource-demanding) way to convey the complexities of autonomous behaviour to humans (e.g. facial expressions; Cher noff 1973; Nass and Lee 2001; Nelson 2007; Semigran et al. 2016).”
Can robots manifest personality? : An empirical test of personality recognition, social responses, and social presence in human-robot interaction (2006, methodology): “Using an earlier version of the CSLU toolkit, Nass and Lee (2001) successfully manipulated the extroversion/introversion of synthetic voices used in an e-commerce Web site.”
When stereotypes meet robots: The double-edge sword of robot gender and personality in human-robot interaction (2014, background): “According to prior research, non-verbal cues are effective in manifesting extroversion in synthesized speech (Nass & Lee, 2001) and in social robots (Lee et al., 2006).”
Linguistic alignment between people and computers (2010, background): “Nass and Lee (2001) investigated the effects of alignment of personality, as indexed by four acoustic features (intensity, fundamental frequency, frequency range and speech rate) in a speech-based dialogue system that presented participants with book reviews.”
Anthropomorphic Interactions with a Robot and Robot–like Agent (2008, background): “Participants recognize extroverted and introverted synthetic speech on a book buying website and reveal similarity–attraction responses in their book reviews and reviewer ratings (Nass & Lee, 2001).”
User—robot personality matching and assistive robot behavior adaptation for post-stroke rehabilitation therapy (2008, methodology): “A direct relationship between personality and behavior has long been recognized [8,10, 34].”
Almost human: Anthropomorphism increases trust resilience in cognitive agents. (2016, background): “The media-equation hypothesis proposes that computers are social actors and that people apply social rules and expectations to them (Nass & Lee, 2001; Nass et al., 1994; Reeves & Nass, 1996).”
Social signal processing: Survey of an emerging domain (2009, background): “, entities involved in the same kind of interactions as humans, has been explored in [127][128], where computers have been shown to be attributed a personality and to elicit the same reactions as those elicited by persons.”