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Human-robot interaction is considered a multi-discipline in the field of research that helps in identifying the required design for robotic systems. It can be stated that human-robot interaction assists in designing exoskeleton rehabilitation robots to interact with humans. Additionally, it signifies that this research may help in engaging the robots in the recent society based on the interacting tools. It can be stated that human report interactions are mainly used for enhancing housing strategies to enhance flexibility (Sciutti et al. 2018).
Hence it also focused on various tasks regarding quality management. It can be stated that the effective application of interactive models mainly helps in developing human-robot interaction in this recent era. It also can be stated from the evidence that robots may have been provoked by the social and emotional machines that can be fried full for the present scenario. In that case, maximising the flexibility and versatility has helped in changing the capacity of activities to ensure the human-robot introduction adequately.
Relation to computer science in general
Artificial intelligence, dialogue management, human-computer interaction, face detection, interactive system engineering and other areas of computer science are related to human-robot interaction.
Research questions and methods-
- What is the way of identifying unintended consequences while investigating robotics?
- What is the main role of artificial intelligence in maximising human-robot interaction?
- How can human-robot interaction psychologically influence this society?
Focusing on the multidisciplinary field helps in analysing the human-robot interaction through adequate knowledge regarding natural language understanding psychology and others. Effective focus on robotics and system design research helps in identifying fundamental principles and methodology of exhibiting intelligent goal-oriented behaviour and others to control, evaluate and manipulate the robotics for a better human-robot introduction (Henschel, Hortensius and Cross, 2020). In addition, researching on different areas such as coexistence cooperation and collaboration in the case of human-robot interaction may help the researcher to get adequate operation of sustainability.
It can be stated based on more illustrative context that conducting the research based on the effective secondary resources can help to get a clear insight on the existing evidences of the exploration of the human-robot interaction and its contribution to the overall development of the society. Additionally, information taken from journals, research papers, authorised websites and others are used to get critical overview on the human-robot interaction.
It can be stated that smart robots are well-programmed to understand and react to human needs in real time. According to the opinion of Henschel, Hortensius and Cross (2020), the ability to exchange information with meaning-making is able to develop interpersonal communication among humans and robots. The behavioural design of the robots might be functional and require effective communicative signals to detect the human sensors that can maximise the chances of human-robot introduction in this recent era. Effective application of mutual adaptation is highly required for enhancing human-robot interaction with predictable and acceptable aspects.
Based on a similar context, human robots are highly advantageous for a society that may create mutual understanding between humans and machines by fostering a natural coexistence. The humanisation of human-robot interaction can create a safe and peaceful environment with psychological collaboration and concrete support based on these digital communication channels. Waste on a contradictory note over-dependence on technology has started occupying a major role in daily life that is introducing more features of Robotics to make life easier (Sciutti et al. 2018). Additionally, another challenge of this human-robot interaction is that the robots are being influenced by human behaviour which may have a negative impact on the robotic future.
Henschel, A., Hortensius, R. and Cross, E.S., 2020. Social cognition in the age of human–robot interaction. Trends in Neurosciences, 43(6), pp.373-384.
Sciutti, A., Mara, M., Tagliasco, V. and Sandini, G., 2018. Humanizing human-robot interaction: On the importance of mutual understanding. IEEE Technology and Society Magazine, 37(1), pp.22-29.