• Title/Summary/Keyword: Expectations and Anxieties

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Expectations and Anxieties Affecting Attitudes toward Artificial Intelligence Revolution (인공지능 혁신에 대한 기대와 불안 요인 및 영향 연구)

  • Rhee, Chang Seop;Rhee, Hyunjung
    • The Journal of the Korea Contents Association
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    • v.19 no.9
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    • pp.37-46
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    • 2019
  • Humans have anxieties as well as expectations for artificial intelligence. This study attempted to identify the expectation and anxiety factors affecting the attitude toward artificial intelligence innovation and to ascertain how much influence they have on current artificial intelligence innovation. This study considered that attitudes toward artificial intelligence may be different for each generation sharing a similar technology change culture. Therefore, the researchers limited the research subjects to I generation, which is the main users of artificial intelligence in the future. As a main result, the factors of expectiation of 'performance gain', 'positive social impact', and the factor of anxiety of 'threat to human-oriented social value' were drawn, and these factors influenced weak and strong artificial intelligence respectively. The results of this study suggests that artificial intelligence should develop into a pleasant relationship with humankind.

Psychodynamics of Investments: Study on 'Fear' and 'Love' Among Financially Literate Investors in India

  • SHOLLAPUR, M.R.;PATTED, Shridevi;PRASAD, Dev
    • The Journal of Asian Finance, Economics and Business
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    • v.9 no.2
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    • pp.395-407
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    • 2022
  • This study examines the emotional undercurrents of individual investors. Earlier finance theory was based on the assumption that investors would act rationally. According to the findings, it is the investors' collective expectations and anxieties that have an impact on their investment fortunes. This necessitates a high level of emotional stability on the side of the investors. Investors must have a firm foundation in financial literacy to have the requisite level of emotional stability. This study aims to add to existing theory and practice by analyzing whether investors who have received business-related education are less emotional than those who have not. For the survey inquiry of individual investors, 'fear' and 'love' are considered among the emotional undercurrents of individual investors. The research is based on a survey of 875 individual investors in India, 342 of whom had a business background and the others have none. It has been discovered that no investor, regardless of their level of business education, is emotion-free. Investors with and without a business education display emotional stability in many behavioral aspects of fear and love to varying degrees.

Predicting User Acceptance of Strong AI using Extension of Theory of Planned Behavior: Focused on the Age Group of 20s (확장된 계획적 행동이론을 통해 본 강한 인공지능 제품에 대한 이용자의 수용의도: 20대 연령층을 중심으로)

  • Rhee, Chang Seop;Rhee, Hyunjung
    • The Journal of the Korea Contents Association
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    • v.20 no.10
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    • pp.284-293
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    • 2020
  • The rapid progress of AI technology gives us the expectation to solutions to various problems in our society, and at the same time, it gives us anxiety about the side effects that can occur if AI develops beyond human control. This study was conducted in the early 20s with less objection to advanced devices. We attempted to provide clues to understand thoughts and attitudes of the targets about the future environment that will be brought by AI through the process of finding intent the acceptance of strong AI technology. For this, we applied the Theory of Planned Behavior, and further expanded this research model to identify factors affecting the attitude toward AI. As a result, the attitude toward AI and perceived behavioral control had a significant effect on the intention to use to strong AI. In addition, we found that the expectation of the benefit of improving task performance and the anxiety on the threat of relationship disturbance had a significant effect on the attitude toward AI. This study suggests implications for AI-related companies establishing the direction of technology development and for government setting a policy direction for AI adoption.