Chapter 3: Toward a sociology of machines: an interviewing methodology for human-machine communication
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In line with the concept and principles of human-machine communication (HMC) research, people are now regularly engaging in natural conversations and interacting with artificial intelligence (AI) in the form of digital social agents throughout their everyday lives. This work seeks to add to the subdiscipline of HMC by providing a methodology to further explore HMC and human-machine meaning-making processes. By exploring the aspects of digital social agents’ role as social actors, how machines exercise agency, how actor network theory relates to methodology, and why there is value in interviewing digital social agents and assessing their communication, the case is made for a new HMC methodology: the human-machine interview. This methodological approach provides a means to gather the data, insight, and research needed to explore and assess the impact of HMC and the role of digital social agents within sociotechnical systems.

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