Types of AI and Their Suitability for Performing Daily Activities

Kondort Giulia () and Cioc Roxana ()
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Kondort Giulia: Bucharest University of Economic Studies, Romania
Cioc Roxana: Bucharest University of Economic Studies, Romania

Proceedings of the International Conference on Business Excellence, 2024, vol. 18, issue 1, 2283-2292

Abstract: The usage of robots and artificial intelligence in the business field and in the everyday life of consumers has been a topic of discussion for a long time. While some people are fascinated by the opportunity of having robots supporting them in their daily activities, others are more hesitant. Nowadays, there are different types of robots with artificial intelligence, and consumers, depending on their preferences and needs, prefer a certain type of robot. With the help of an online survey, we found out which type of robot is most often used by the consumer and why. Among the various types of robots with artificial intelligence that were mentioned in the questionnaire, personal home assistants are the robot with artificial intelligence that consumers prefer when they want to perform an action. The second most preferred robot with artificial intelligence is the self-service portal with AI, and in third place is the personal voice assistant. The main results show that personal home assistants are robots with artificial intelligence, which is used most often by the consumer to order food, different products and to perform different activities. With the help of the results, we can also observe that consumers also use the self-service portal with AI as a navigation system or as an alarm clock. The personal voice assistant is the type of artificial intelligence robot that is least used by consumers to do something, which is again an important result.

Keywords: Artificial intelligence; robots design; GDPR; consumer attitude and perception; human rights (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:poicbe:v:18:y:2024:i:1:p:2283-2292:n:1031

DOI: 10.2478/picbe-2024-0192

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