Defining Dialogues: Tracing the Evolution of Human-Machine Communication

Author:

Prahl Andrew1ORCID,Edwards Autumn2

Affiliation:

1. Nanyang Technological University, Singapore

2. Western Michigan University

Abstract

This introduction to the volume discusses the evolving field of Human-Machine Communication (HMC), drawing on insights from the philosophy of science. We explore critical debates in the field, underscoring the importance of challenging assumptions, embracing interfield work, and fostering dialogue in shaping our understanding of HMC. Moreover, we celebrate the vibrant collaboration between disciplines that drives progress in HMC. This piece serves as an invitation to join the exploration of this collection and contribute to shaping the future of HMC.

Publisher

Nicholson School of Communication, UCF

Subject

Social Sciences (miscellaneous),Communication,Health (social science)

Reference18 articles.

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2. Fortunati, L., & Edwards, A. (2021). Moving ahead with human-machine communication. Human-Machine Communication, 2, 7–28. https://doi.org/10.30658/hmc.2.1 Fortunati, L., & Edwards, A. (2022). Framing the psycho-social and cultural aspects of human-machine communication. Human-Machine Communication, 4, 7–26. https:// doi.org/10.30658/hmc.4.1 Gambino, A., Fox, J., & Ratan, R. A. (2020). Building a stronger CASA: Extending the computers are social actors paradigm. Human-Machine Communication, 1, 71–85. https:// doi.org/10.30658/hmc.1.5 Gambino, A., & Liu, B. (2022). Considering the context to build theory in HCI, HRI, and HMC: Explicating differences in processes of communication and socialization with social technologies. Human-Machine Communication, 4, 111–130. https://doi. org/10.30658/hmc.4.6 Gergen, K. J. (1978). Toward generative theory. Journal of Personality and Social Psychology, 36(11), 1344–1360. https://doi.org/10.1037/0022-3514.36.11.1344 Hordyk, S. R., Soltane, S. B., & Hanley, J. (2013). Sometimes you have to go under water to come up: A poetic, critical realist approach to documenting the voices of homeless immigrant women. Qualitative Social Work, 13(2), 203–220. https://doi. org/10.1177/1473325013491448 Klein, J. T. (1996). Crossing boundaries: Knowledge, disciplinarities, and interdisciplinarities. University Press of Virginia. http://archive.org/details/crossingboundari0000klei Kuhn, T. S. (1962). The structure of scientific revolutions. University of Chicago Press. Lombard, M., & Xu, K. (2021). Social responses to media technologies in the 21st century: The media are social actors paradigm. Human-Machine Communication, 2, 29–55. https://doi.org/10.30658/hmc.2.2 Toulmin, S. E. (1953). The philosophy of science. Hutchinson’s University Library. Toulmin, S. (1972). Human understanding: The collective use and evolution of concepts. Princeton University Press. Westerman, D., Edwards, A. P., Edwards, C., Luo, Z., & Spence, P. R. (2020). I-It, I-Thou, I-Robot: The perceived humanness of AI in human-machine communication. Communication Studies, 71(3), 393–408. https://doi.org/10.1080/10510974.2020.1749683

3. Abendschein, B., Edwards, A., & Edwards, C. (2022). Novelty experience in prolonged interaction: A qualitative study of socially-isolated college students’ in-home use of a robot companion animal. Frontiers in Robotics and AI, 51. https://doi.org/10.3389/ frobt.2022.733078

4. Bhaskar, R. (1975). A realist theory of science. Routledge. https://doi.org/10.2307/2219031

5. D’Agostino, F. (2012). Disciplinarity and the growth of knowledge. Social Epistemology, 26(3–4), 331–350. https://doi.org/10.1080/02691728.2012.727192

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