Zobrazeno 1 - 10
of 476
pro vyhledávání: '"human–machine communication"'
Autor:
Fiqih Rahmawati
Publikováno v:
Kalijaga Journal of Communication, Vol 6, Iss 1, Pp 103-118 (2024)
This study aims to analyze the collaboration between Artificial Intelligence (AI) and journalists in online media using the Human-Machine Communication (HMC) approach. The research method used is a literature study. Data is processed using Miles and
Externí odkaz:
https://doaj.org/article/55657eb7d8864d06b6505e2dd30b643d
Autor:
Gerst, Dominik1 dominik.gerst@uni-due.de, Krämer, Hannes1 hannes.kraemer@uni-due.de
Publikováno v:
Forum: Qualitative Social Research / Qualitative Sozialforschung. Mai2019, Vol. 20 Issue 2, p1-18. 18p.
Autor:
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
Publikováno v:
Human-Machine Communication Journal, Vol 8, Pp 227-251 (2024)
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
Externí odkaz:
https://doaj.org/article/06f33a78cbfb4a6f92f899da0c0ee47c
Autor:
Andrew Prahl, Kevin Tong Weng Jin
Publikováno v:
Human-Machine Communication Journal, Vol 8, Pp 163-183 (2024)
This study adopts the combined TAM-TPB model to investigate attitudes and expectations of machines at a pre-career stage. We study how future doctors (medical students) expect to interact with future AI machinery, what AI usage norms will develop, an
Externí odkaz:
https://doaj.org/article/4fad313e255545c59ed5304929d563fb
Autor:
Stefanie H. Klein, Sonja Utz
Publikováno v:
Human-Machine Communication Journal, Vol 8, Pp 73-99 (2024)
As educational organizations increasingly consider supporting or replacing human chat advisors with chatbots, it is crucial to examine if users perceive a chatbot differently from a human. Chatbots’ conversational features may signal responsiveness
Externí odkaz:
https://doaj.org/article/4f9b74cdad66414b9887b148b819bd5f
Autor:
Paula Gardner, Jess Rauchberg
Publikováno v:
Human-Machine Communication Journal, Vol 8, Pp 27-51 (2024)
The authors review theoretical trends in HMC research, as well as recent critical interventions in the HMC journal that usefully reshape and expand our research terrain. Conventional research such as positivist and quantified approaches are identifie
Externí odkaz:
https://doaj.org/article/731d98ec98124825aa0516610e92f117
Autor:
Cait Lackey, Zizi Papacharissi
Publikováno v:
Human-Machine Communication Journal, Vol 8, Pp 7-25 (2024)
Artificial intelligence (AI) design typically incorporates intelligence in a manner that is affirmatory of the superiority of human forms of intelligence. In this paper, we draw from relevant research and theory to propose a social-ecological design
Externí odkaz:
https://doaj.org/article/958e0338eecf4858ad60d972f0fd5df1
Publikováno v:
Human-Machine Communication Journal, Vol 7, Pp 7-21 (2024)
As research fields, mediatization and Human-Machine Communication (HMC) have distinct historical trajectories. While mediatization research is concerned with the fundamental interrelation between the transformation of media and communications and cul
Externí odkaz:
https://doaj.org/article/711053a96ca34683ad3dda4f73fbf679
Publikováno v:
Human-Machine Communication Journal, Vol 6, Pp 87-116 (2023)
Efforts to develop empathetic agents, or systems capable of responding appropriately to emotional content, have increased as the deployment of such systems in socially complex scenarios becomes more commonplace. In the context of human-machine commun
Externí odkaz:
https://doaj.org/article/6cbc4d32796f4ecf96af5dfec1296187
Autor:
Keri K. Stephens, Anastazja G. Harris, Amanda L. Hughes, Carolyn E. Montagnolo, Karim Nader, S. Ashley Stevensons, Tara Tasuji, Yifan Xu, Hemant Purohit, Christopher W. Zobel
Publikováno v:
Human-Machine Communication Journal, Vol 6, Pp 65-85 (2023)
Humans play an integral role in identifying important information from social media during disasters. While human annotation of social media data to train machine learning models is often viewed as human-computer interaction, this study interrogates
Externí odkaz:
https://doaj.org/article/14bd1b0924c24a3c9420830a4eaa7f71