Negotiated Collusion: Modeling Social Language and its Relationship Effects in Intelligent Agents
By Justine Cassell, Timothy W. Bickmore. User modeling and user-adapted interaction, 2003
305 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Social Psychology
View Paper: https://www.semanticscholar.org/paper/c95a55ba44dec61287f58d44626117a9f73df89e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Marilyn A. Walker
- François Mairesse
- Jonathan Gratch
- Lisa Caruso
- Kerri Clough-Gorr
- Tim-Tomas Heeren
- Ewart J. de Visser
- W. L. Johnson
In Social Psychology
- François Mairesse
- Marilyn A. Walker
- Ewart J. de Visser
- Christopher Allen Miller
- Lisa Caruso
- Kerri Clough-Gorr
- Tim-Tomas Heeren
- Raja Parasuraman
Citations in the corpus
- The politeness effect: Pedagogical agents and learning outcomes (2008, background): “User interface and agent researchers are also beginning to apply the Brown and Levinson model of politeness to human-computer interaction in other contexts (Andre et al., 1998; Cassell and Bickmore, 2003; Miller, 2002).”
- Racial mirroring effects on human-agent interaction in psychotherapeutic conversations (2020, unknown): “Greetings [16] “Welcome! I’m Molly”; “Nice to meet you!””
- Creating Rapport with Virtual Agents (2007, background): “ening sense of interdependence that arises over time [30, 31].”
- Relational agents : effecting change through human-computer relationships (2003, background): “This work was previously published in (Cassell & Bickmore, 2001).”
- Trust and etiquette in high-criticality automated systems (2004, background): “We tend to trust that person more than interacting with someone who produces a negative effect (see [ 2 ] for a review of models of the role of social language in producing trust and positive effects).”
- Controlling User Perceptions of Linguistic Style: Trainable Generation of Personality Traits (2011, background): “…linguistic style, or other factors such as the user’s emotional state, her personality, or considerations of politeness strategies (Walker, Cahn, and Whittaker 1997; Lester, Towns, and Fitzgerald 1999; Lester, Stone, and Stelling 1999; Andr´e et al. 2000; Cassell and Bickmore 2003; Piwek 2003).”
- AI-based chatbots in customer service and their effects on user compliance (2020, background): “Smalltalk can be proactively used to develop a relationship and reduce the emotional distance between parties (Cassell and Bickmore 2003).”
- 'It's just like you talk to a friend' relational agents for older adults (2005, methodology): “Such interfaces move beyond the paradigm of computer as tool, to make systems that are delightful and engaging so that users want to use them over and over again, and that they will trust and really care about, as well as feel cared for by them (Bickmore & Picard, 2004; Cassell & Bickmore, 2003).”
- Almost human: Anthropomorphism increases trust resilience in cognitive agents. (2016, background): “Avatars and virtual agents are increasingly used as conversational agents (Cassell & Bickmore, 2003) and virtual therapists (Lucas, Gratch, King, & Morency, 2014).”
- Trainable Generation of Big-Five Personality Styles through Data-Driven Parameter Estimation (2008, background): “…are limited to variation along a small number of discrete points (Hovy, 1988; Walker et al., 1997; Lester et al., 1997; Power et al., 2003; Cassell and Bickmore, 2003; Pi-wek, 2003; Mairesse and Walker, 2007; Rehm and Andr´e, in press), we learn models that predict parameter values for…”