Efficiency of Smart AI-Based Voice Apps and Virtual Services Operating With Chatbots

被引:0
作者
Said N.A. [1 ]
Gura D. [2 ,3 ]
Karlov D. [4 ]
机构
[1] College of Mass Communication, Ajman University, Ajman
[2] Department of Cadastre and GeoEngineering, Kuban State Technological University, Krasnodar
[3] Department of Geodesy, Kuban State Agrarian University, Krasnodar
[4] Department of In-plant Electrical Equipment and Automation, AMTI (branch) of the KubSTU, Armavir
关键词
Artificial Intelligence; Chatbot; Computer and Information Technologies; Machine Learning; SDGs; Voice Assistant;
D O I
10.13164/mendel.2022.2.009
中图分类号
学科分类号
摘要
The development of computer and information technologies contributed to technological advancement in artificial intelligence (AI) by introducing ”smart” apps in modern smartphones and gadgets. The need to apply AI in smart apps is due to the excessive demand of users in solving their day-to-day tasks. Their effectiveness was assessed by analyzing the average statistics based on the nature of the information requested in seven blocks of questions. The study results showed that depending on the accuracy of the query formulated, the data processing to derive the results from smart apps can be very different. The analysis was based on four indicators: accuracy, conformity, non-specificity, and no-response. Another urgent issue is studying the operation of Siri and Google Assistant smart apps to assess the reliability compliance of data from requests and application development perspectives. The study objectives included: analyzing and studying AI and its different forms; collecting data on the everyday use of apps in modern smartphones and gadgets with voice support functions; investigating device compatibility with smart apps to analyze and evaluate usage efficiency; studying the dependency of smart apps usage in everyday life. © 2022, Brno University of Technology. All rights reserved.
引用
收藏
页码:1 / 8
页数:7
相关论文
共 30 条
  • [1] AbuShawar B., Atwell E., Alice chat-bot: Trials and outputs, Computación y Sistemas, 19, 4, pp. 625-632, (2015)
  • [2] Adam M., Wessel M., Benlian A., Ai-based chatbots in customer service and their effects on user compliance, Electronic Markets, 31, 2, pp. 427-445, (2021)
  • [3] Ali S. S., Choi B. J., State-of-the-art artificial intelligence techniques for distributed smart grids: A review, Electronics, 9, 6, (2020)
  • [4] Brundage M., Avin S., Clark J., Toner H., Eckersley P., Garfinkel B., Dafoe A., Scharre P., Zeitzoff T., Filar B., Et al., The malicious use of artificial intelligence: Forecasting, prevention, and mitigation, (2018)
  • [5] Canbek N. G., Mutlu M. E., On the track of artificial intelligence: Learning with intelligent personal assistants, Journal of Human Sciences, 13, 1, pp. 592-601, (2016)
  • [6] Costa P., Conversing with personal digital assistants: on gender and artificial intelligence, Journal of Science and Technology of the Arts, 10, 3, pp. 59-72, (2018)
  • [7] Cunneen M., Mullins M., Murphy F., Artificial intelligence assistants and risk: framing a connectivity risk narrative, Ai & Society, 35, 3, pp. 625-634, (2020)
  • [8] Date R. C., Jesudasen S. J., Weng C. Y., Et al., Applications of deep learning and artificial intelligence in retina, International Ophthalmology Clinics, 59, 1, pp. 39-57, (2019)
  • [9] Donepudi P. K., Application of artificial intelligence in automation industry, Asian Journal of Applied Science and Engineering, 7, 1, pp. 7-20, (2018)
  • [10] Doshi S. V., Pawar S. B., Shelar A. G., Kulkarni S. S., Artificial intelligence chat-bot in android system using open source program-o, International Journal of Advanced Research in Computer and Communication Engineering, 6, (2017)