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 discussion: How does HMC contribute to our understanding of authentic communication with machines? And how can the concept of authenticity contribute to our sense of self as researchers within the HMC field? Through the collaborative effort of 22 authors, the paper explores the re-conceptualization of authenticity and presents recent areas of tension that guide the HMC research and community. With this paper we aim at offering a gateway for scholars to connect and engage with the evolving HMC field.



Author ORCID Identifier

Katrin Etzrodt: 0000-0001-6515-9985

Jihyun Kim: 0000-0003-2476-610X

Margot J. van der Goot: 0000-0001-6904-6515

Andrew Prahl: 0000-0003-3675-3007

Mina Choi: 0000-0002-9947-5035

Matthew J. A. Craig: 0000-0002-4824-566X

Marco Dehnert: 0000-0002-7456-0743

Sven Engesser: 0000-0003-1638-7548

Katharina Frehmann: 0000-0002-0226-5884

Luis Grande: 0000-0002-8938-4148

Jindong Leo-Liu: 0000-0002-5456-0148

Diyi Liu: 0000-0001-8399-4677

Sandra Mooshammer: 0000-0003-3556-6517

Nathan Rambukkana: 0000-0001-7696-818X

Ayanda Rogge: 0000-0002-1168-3180

Pieta Sikströma: 0000-0002-2055-7995

Rachel Son: 0000-0003-3369-9279

Nan Wilkenfeld: 0000-0002-1591-1910

Kun Xu: 0000-0001-9044-821X

Renwen Zhang: 0000-0002-7636-9598

Ying Zhu: 0000-0001-5060-6500

Chad Edwards: 0000-0002-1053-6349