Prototyping in social VR
Anticipate the unanticipated outcomes of interactions between AI-powered solutions and users.
Elena Mariani (Politecnico di Milano)
Finn Søren Casper Kooijman (Student TU Delft)
Priyanka Shah (TU Delft - Industrial Design Engineering)
Niya Stoimenova (TU Delft - Industrial Design Engineering)
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Abstract
Interactions of users with AI powered solutions (AIPS) have the potential to affect collective behaviours and amplify unanticipated outcomes. Product developers, organisations, and companies are increasingly being expected to take responsibility for the unanticipated outcomes of their products. In this paper we explore a proactive approach to prototyping AIPS-user interactions using Social Virtual Reality (SVR) environments that allows for the anticipation of potential outcomes. We contend that doing so would limit the detrimental effect outcomes could have on product developers' resources and reputation.
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