External manifestations of trustworthiness in the interface

By Justine Cassell, Timothy W. Bickmore. CACM, 2000

297 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Experimental and Cognitive Psychology, Language and Linguistics

View Paper: https://www.semanticscholar.org/paper/90c7b0097a9d43144ae508920f898249e3374428

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Citations in the corpus

Evaluating Anthropomorphic Product Recommendation Agents: A Social Relationship Perspective to Designing Information Systems (2009, background): “…an embodied agent, e.g., the capabilities of exchanging information via voice, gestures, gaze, and facial expressions in addition to language, have the potential of providing users with natural means to foster affinity, trust, and pleasure as well as to exchange information with computers [21, 22].”
A taxonomy, data set, and benchmark for detecting and classifying malevolent dialogue responses (2021, background): “Trust in human artifacts depends on credibility (Cassell & Bickmore, 2000; Fell et al., 2020) and previous research on chatbots measures credibility by questionnaire (Przegalinska et al., 2019). b. Discomfort —”
Detecting and Classifying Malevolent Dialogue Responses: Taxonomy, Data and Methodology (2020, background): “Trust in the human society depends on credibility [8, 17] and previous research on chatbot measures credibility by quesionaire [44].”
Technology, Humanness, and Trust: Rethinking Trust in Technology (2015, background): “For example, humans reveal more information to, cooperate more with, trust more, and ascribe higher credibility to technologies that have human physical attributes than to those that do not (Cassell & Bickmore, 2000; Sproull, Subramani, Kiesler, Walker, & Waters, 1996).”
Consumer Acceptance of Electronic Commerce: Integrating Trust and Risk with the Technology Acceptance Model (2003, background): “However, this focus is not meant to discount the role of trust in the infrastructure (interface), which has been extensively described elsewhere [ 16 ].”
Trust in Automation: Designing for Appropriate Reliance (2004, methodology): “Cassell and Bickmore (2000) suggested that creating a computer that is a conversational partner will induce people to trust the system by providing the same social cues that people use in face-to-face conversation.”
Computers that care: investigating the effects of orientation of emotion exhibited by an embodied computer agent (2005, background): “Agents exhibiting empathic emotion were seen as more trustworthy than agents lacking empathic emotion (cf. Cassell and Bickmore, 2001).”
How Presentation Flaws Affect Perceived Site Quality, Trust, and Intention to Purchase from an Online Store (2005, background): “When trust is lacking in a relationship, individuals do not engage in financial or emotional transactions and are not likely to disclose personal information [12, 35].”
Trust In and Adoption of Online Recommendation Agents (2005, background): “Similarly, in a study of embodied conversational agents by Cassell and Bickmore (2000), trust was defined as a composite of benevolence and credibility.”
Establishing and maintaining long-term human-computer relationships (2005, background): “2.4 Helping Finally, although some level of trust is important in all human-computer and human-human interactions [Cassell and Bickmore 2000], trust and engagement are especially crucial in applications in which a change in the user is desired and which require signi.cant cognitive, emotional…”
Embodied Conversational Agents: Representation and Intelligence in User Interfaces (2001, background): “These behaviors are the external manifestations of social intelligence and trustworthiness ( Cassell and Bickmore 2000 ) as well as a localization of the conversational processes of grounding information and a representation of information in their own right.”
The development of initial trust in an online company by new customers (2004, background): “Other articles have proposed new methods of increasing trust online such as agents and virtual reality technologies [11,61], economic incentive mechanisms [5], government involvement [72], and video-conferencing [59].”
Similarities and differences between human–human and human–automation trust: an integrative review (2007, background): “Furthermore, researchers contend that strong social bonds between humans and computers can be created when a computer is labelled a ‘team-mate’ (Nass et al. 1999, Cassell and Bickmore 2000).”