Abstract
This study aims to investigate the influence of object recognition based on intelligent algorithms on staff’s anxiety levels in professional settings. Anxiety was measured through self-report questionnaires and physiological indicators, while object recognition performance was evaluated based on the accuracy and speed of intelligent algorithm-based systems. The study provides insight into the potential impact of technology on mental health and offers suggestions for optimizing the implementation of intelligent algorithms in the workplace.
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Acknowledgements
This research was supported by the Fundamental Research Funds for the Central Universities (Grant No. 226-2023-00086), Research Center of Computer Aided Product Innovation Design, Ministry of Education, National Natural Science Foundation of China (Grant No. 52075478), and National Social Science Foundation of China (Grant No. 21AZD056).
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Zhang, L., Yao, C., Huang, L., Ying, W., Ying, F. (2023). Research on the Influence of Object Recognition Based on Intelligent Algorithm on Staff’s Anxiety. In: Ciancarini, P., Di Iorio, A., Hlavacs, H., Poggi, F. (eds) Entertainment Computing – ICEC 2023. ICEC 2023. Lecture Notes in Computer Science, vol 14455. Springer, Singapore. https://doi.org/10.1007/978-981-99-8248-6_40
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DOI: https://doi.org/10.1007/978-981-99-8248-6_40
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