Establishing and maintaining long-term human-computer relationships

By Timothy W. Bickmore, Rosalind W. Picard. 2005

1,353 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Social Psychology, Human-Computer Interaction

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Citations in the corpus

Neural Theory-of-Mind? On the Limits of Social Intelligence in Large LMs (2022, neutral): “For example, new technologies are emerging where AI is used to interact and adapt to users (Bickmore and Picard, 2005; Jaques, 2019), e.g., voice assistants, and tutoring systems; or where AI helps enhance communication between multiple users, e.g., email autocom-plete (Chen et al., 2019),…”
Building a Stronger CASA: Extending the Computers Are Social Actors Paradigm (2020, background): “Ongoing and long-term interactions present the opportunity for individuals to develop relationships with media agents similar to those with humans (Bickmore & Cassell, 2001; Bickmore & Picard, 2005).”
Stupid computer! Abuse and social identities (2005, background): “Our paper deals with spontaneous interactions, analysing conversations held in a natural, unconstrained setting, whereas most of previous empirical research was carried out in controlled studies, in which the users were well aware of being observed [3].”
Social Robots for Long-Term Interaction: A Survey (2013, background): “While routine behaviours are those who “people engage in for other reasons which serve to maintain a relationship as a side effect” [7], strategic behaviours are those which “individuals enact with the conscious intent of preserving or improving the rela-tionship” [65].”
“Love ya, jerkface”: Using Sparse Log-Linear Models to Build Positive and Impolite Relationships with Teens (2012, background): “…and Levinson, 1978), including in the vast majority of computational approaches to rapport-building in dialogue (Stronks et al., 2002; Johnson and Rizzo, 2004; Bickmore and Picard, 2005; Gratch et al., 2006; McLaren et al., 2007; Cassell et al., 2007; Baker et al., 2008; Bickmore et al., 2011).”
The Benefits of Interactions with Physically Present Robots over Video-Displayed Agents (2011, background): “Many studies use questionnaires to capture participants’ perceptions [3, 4, 6, 9, 10], however participants’ responses to questionnaires can be biased by factors outside of the intended experimental manipulation.”
Too human and not human enough: A grounded theory analysis of mental health harms from emotional dependence on the social chatbot Replika (2022, background): “Replika is likely particularly effective in this regard because its design utilizes strategies found in human–human interactions that facilitate bond formation (Bickmore and Picard, 2005).”
AI-based chatbots in customer service and their effects on user compliance (2020, background): “By means of small talk, the actors can develop a common ground for the conversation (Bickmore and Picard 2005; Cassell and Bickmore 2003).”
The influence of empathy in human-robot relations (2013, background): “Empathy is a research topic that has received a lot of attention in the field of virtual agents (Paiva et al., 2004; Prendinger and Ishizuka, 2005; Bickmore and Picard, 2005; Brave et al., 2005; McQuiggan and Lester, 2007).”
Defining Internet-Supported Therapeutic Interventions (2009, background): “Such applications have been shown to be associated with improved compliance with treatment [79].”
An affective guide robot in a shopping mall (2009, methodology): “Bickmore and Picard used this strategy for relational agents for building relationships with users [24].”
Affect-aware tutors: recognising and responding to student affect (2009, background): “…have affect perception and use that knowledge, along with knowledge about cognitive progress, to reason about a series of student actions and interventions, not simply a single-shot action or interaction, but as an ongoing and evolving relationship (Picard et al., 2004; Bickmore and Picard, 2004).”
Intimacy, familiarity and continuance intention: An extended expectation-confirmation model in web-based services (2011, background): “Finally, in IS research, Bickmore and Picard (2005) studied the establishment and maintenance of long-term human–computer relationships, and argued that the relationships could be better maintained when emotional support in the form of intimacy is fostered.”
Racial mirroring effects on human-agent interaction in psychotherapeutic conversations (2020, methodology): “how these characteristics might influence human-agent relationship [9,10,59].”
Empathy in Virtual Agents and Robots (2017, background): “Research on empathic virtual agents has shown, among other things, that these agents are perceived as more likeable, trustworthy, and caring (Brave et al. 2005) and that they can build and sustain long-term socioemotional relationships with human partners (Bickmore and Picard 2005).”