2014
DOI: 10.1007/978-3-319-12973-0_2
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Creating a World for Socio-Cultural Agents

Abstract: Abstract.Creating agents that are capable of emulating similar sociocultural dynamics to those found in human interaction remains as one of the hardest challenges of artificial intelligence. This problem becomes particularly important when considering embodied agents that are meant to interact with humans in a believable and empathic manner. In this article, we introduce a conceptual model for socio-cultural agents, and, based on this model, we present a set of requirements for these agents to be capable of sh… Show more

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Cited by 7 publications
(8 citation statements)
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References 17 publications
(18 reference statements)
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“…For instance, customers in collectivist cultures may try to build a friendship with a virtual agent, whereas customers in individualist cultures may treat an agent as an assistant for completing a task. Researchers show that in collectivist cultures it is important for virtual agents to infer the social status of a user (e.g., in-group vs. out-group, high social status vs. low social status) and adjust the interaction accordingly, as perceived social distance (e.g., stranger vs. friend) can influence the user’s trust in the agent (Degens et al 2014). Accordingly, the virtual agent’s tone should be adjusted across cultures.…”
Section: Conceptual Frameworkmentioning
confidence: 99%
“…For instance, customers in collectivist cultures may try to build a friendship with a virtual agent, whereas customers in individualist cultures may treat an agent as an assistant for completing a task. Researchers show that in collectivist cultures it is important for virtual agents to infer the social status of a user (e.g., in-group vs. out-group, high social status vs. low social status) and adjust the interaction accordingly, as perceived social distance (e.g., stranger vs. friend) can influence the user’s trust in the agent (Degens et al 2014). Accordingly, the virtual agent’s tone should be adjusted across cultures.…”
Section: Conceptual Frameworkmentioning
confidence: 99%
“…We did so to evaluate whether our training tool can help trainees progress through our learning outcomes, which is more likely to happen if trainees encounter multiple interactions. For future work, it is important to validate invididual incidents in terms of perception and presence of misunderstandings (see our previous work on the evaluation of incidents [39]). …”
Section: General Discussion and Conclu-sionmentioning
confidence: 99%
“…The first is through the behaviour of the virtual characters, with which users will interact during their travels, and the primary reason for a misunderstanding or conflict in each incident. Due to the scope of this article, we have chosen not to focus on the design of these virtual characters, and instead refer to our other work for more information [39], [40].…”
Section: Modelling the Incidentsmentioning
confidence: 99%
“…Researchers have also focused on creating agents that model and portray different cultures [2,29,36,37], follow specific social rules [12,25], or adapt to the culture of the user [35,38]. For example, Mascarenhas et al [29] created groups of agents with differing behaviors based on their own cultural standards.…”
Section: Cultural Factors In Agentsmentioning
confidence: 99%