Ala’ Al-Mahameed, Jorge Pelegrín Borondo, Mario Arias Oliva
Robotic technology is used extensively in different kinds of business. Actually, the deployment of these technologies into business practices is becoming a necessity, not a choice, in order to survive in the business world, and to maintain a balance in the competition with the other competitors.The main feature of the robotics its ability of gathering complex information and executing physical actions based on that information in a superior way.This ability enables the robot to replace, supplement, or even transcend human performance in various tasks. To understand how the robotic technology perceived and implemented in the business world, the research (1) overviewed the effect of the Artificial Intelligence (AI) and machine learning on the robotic technology advancement, (2) mentioned some examples of the robotic technology in different fields and their impact and (3) discussed the acceptance of the robots, by reviewing the related literature. The research points out the importance of the Technology Acceptance Model (TAM) on the acceptance of the robotic technology in business fields. Furthermore, the research advised to draw more attention to the social factors, such as warmth and competency, beside the importance of the investigation in emotions and behavior desire of the workers, especially when they have to work side by side with robots in workplaces. Moreover, if human perceive robot as too close to human being, it will fail into “uncanny valley”, and in turn it will be perceived less emotional. Another important note was related to the fear and anxietythat form such technologies. The research mentioned that AI lacks human intelligence. It is specialized in very specific type of tasks, not being able to perform many of the tasks that people can do. In the learning capacities, nowadays it is not possible to compare machine learning ability to the human ones. In addition to that, AI and machine learning are seen as tools, the fear does not come by AI and machine learning themselves, it comes from how people will use them.
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