In the last section of the paper we discuss how the AMPH can be used to trace the distinction between humanizing and socializing (anthropomorphing and sociomorphing), and how qualitative and quantitative methods should be used in unison in HRI research to achieve more fine-grained analyses of relevant experiences. These findings were further explored through triangulation with qualitative data. The analysis of AMPH (N = 339) pointed to a two-factor solution: anthropomorphism towards artefacts and anthropomorphism towards natural objects. The AMPH contains a higher proportion of items tapping anthropomorphism towards artefacts than extant questionnaires. These methodological reflections are further illustrated with a newly developed questionnaire, the AMPH. We begin with the observation that there is a need to define both the interdisciplinary scope of HRI research and its pluridisciplinary format, two tasks that are at the center of the new procedural paradigm of “Integrative Social Robotics”. This chapter aims to contribute to these three tasks. The study of human-robot interaction (HRI) currently lacks (i) clear understanding of the envisaged scope and format of the pluridisciplinary approach required by the domain, (ii) established set of methods and standards, and (iii) a joint terminological framework, or at least a set of analytical concepts and associated tests. Subsequent theoretical and managerial implications of these studies are discussed accordingly. Study 2 revealed that if highly sensitive information was required, a partner IVA would trigger greater privacy concerns, while in low sensitive information contexts, it would evoke a more secure feeling than a servant IVA. Study 1 showed that information sensitivity and anthropomorphism significantly impact user privacy concerns. Drawing upon the communication privacy management theory, two experiments were conducted to investigate the impact of information sensitivity, types of IVA (anthropomorphized versus objectified IVA), and the roles of IVA (servant versus partner) on privacy concerns and user willingness to disclose information to IVA. However, their characteristics also raise user privacy concerns related to the provision of information to the IVA. It does not store any personal data.Intelligent Virtual Assistants (IVA) such as Apple Siri, Google Assistant, are increasingly being used to assist users with performing different tasks. The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. The cookie is used to store the user consent for the cookies in the category "Performance". This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary". The cookie is used to store the user consent for the cookies in the category "Other.
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