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What HMC Teaches Us About Authenticity

This paper delves into what the application of authenticity to Human-Machine Communication (HMC) can teach us about authenticity and us as HMC researchers and as a com- munity. Inspired by the 2023 pre-conference “HMC: Authenticity in communicating with machines,” two central questions guide the dis...

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Principais autores: Katrin Etzrodt, Jihyun Kim, Margot J. van der Goot, Andrew Prahl, Mina Choi, Matthew J. A. Craig, Marco Dehnert, Sven Engesser, Katharina Frehmann, Luis Grande, Jindong Leo-Liu, Diyi Liu, Sandra Mooshammer, Nathan Rambukkana, Ayanda Rogge, Pieta Sikströma, Rachel Son, Nan Wilkenfeld, Kun Xu, Renwen Zhang, Ying Zhu, Chad Edwards
Format: Artigo
Jezik:Inglês
Izdano: Communication and Social Robotics Labs 2024-01-01
Serija:Human-Machine Communication Journal
Teme:
authenticity
human-machine communication
ai
robots
mixed-methods
interdisciplinarity
innovation
Online dostop:https://stars.library.ucf.edu/hmc/vol8/iss1/11/
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