Miriam Gieselmann
Papers
1
Total Citations
13
H-Index
1
About
Miriam Gieselmann is a leading voice in the evolving field of human-machine communication, with a particular focus on the methodological and conceptual challenges posed by artificial communicative agents. Her most-cited work, “Researching interactions between humans and machines: methodological challenges” (2022), has garnered 13 citations and critically examines how communication scholars can rigorously study interactions with agents designed and perceived as life-like “communicative subjects.” Gieselmann’s major contribution lies in identifying the unique epistemological and practical hurdles that distinguish these agents from traditional digital or social media, pushing the field to rethink established research paradigms. By foregrounding the need for new frameworks to capture the nuances of human-agent dialogue, her work has become a foundational reference for scholars navigating this rapidly expanding domain. Her research not only highlights the theoretical implications of treating machines as communicative partners but also provides actionable guidance for designing robust empirical studies. Gieselmann’s insights are essential reading for any student or researcher seeking to understand the methodological frontier of human-machine interaction.
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