From Binary Communication Designs to Human-Robot Interactions
DOI 10.48541/dcr.v9.4 (SSOAR)
Abstract: This article discusses aspects of future research in communication sciences related to a popular and omnipresent artefact of algorithmic machines, social robots. Social robots are defined in this article as physical entities or machines, which may resemble a human being or animal and are able to replicate certain human or life-like movements and functions. Experts predict that robots, just like AI, will replace a significant number of jobs in the near future, including non-industrial jobs such as robots working in offices or the service industry alongside human ‘co-workers’ (Brookfield Institute, 2016; Ford, 2015; Gunkel, 2018). Likewise, we may find more robots in our private lives, for example, replacing human care workers (Ishiguro, 2018; McGinn et al., 2020). Overall, the field of robotics, and particularly social robots, offers a broad range of research opportunities and exigencies for communication scientists. The aim of this conceptual paper is to provide a framework for the discussion of algorithms, social robots and communication sciences.
Dr. phil. habil. Frauke Zeller is Associate Professor at the School of Professional Communication at Ryerson University, Toronto, Kanada
Zeller, F. (2021). Algorithmic machines: From binary communication designs to human-robot interactions. In M. Taddicken & C. Schumann (Eds.), Algorithms and Communication (S. 95-133). https://doi.org/10.48541/dcr.v9.4
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