{"title":"自决和对人工智能的态度:跨国和纵向视角","authors":"Jenna Bergdahl , Rita Latikka , Magdalena Celuch , Iina Savolainen , Eerik Soares Mantere , Nina Savela , Atte Oksanen","doi":"10.1016/j.tele.2023.102013","DOIUrl":null,"url":null,"abstract":"<div><p>Artificial intelligence (AI) is becoming increasingly important in all domains of life. Therefore, it is crucial to understand individuals’ attitudes towards AI. This article investigated attitudes toward AI through two studies that are based on the self-determination theory and basic psychological needs (autonomy, competence, and relatedness). Study 1 used cross-sectional samples of adult populations aged 18–75 from Finland (<em>N</em> = 1,541), France (<em>N</em> = 1,561), Germany (<em>N</em> = 1,529), Ireland (<em>N</em> = 1,112), Italy (<em>N</em> = 1,530), and Poland (<em>N</em> = 1,533). Study 2 was based on a longitudinal two-wave sample of adults aged 18–80 from Finland (<em>N</em> = 828). Based on the robust regression analyses, Study 1 found that fulfillment of basic psychological needs was associated with higher AI positivity and lower AI negativity across Europe. According to the Study 2 results, based on hybrid multilevel regression models, autonomy and relatedness increased AI positivity and decreased AI negativity over time. The results provide robust evidence on the role of self-determination in attitudes towards AI. Self-determination is an important factor in AI acceptance and is becoming increasingly important considering the rapid development and adoption of AI solutions.</p></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":"82 ","pages":"Article 102013"},"PeriodicalIF":7.6000,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Self-determination and attitudes toward artificial intelligence: Cross-national and longitudinal perspectives\",\"authors\":\"Jenna Bergdahl , Rita Latikka , Magdalena Celuch , Iina Savolainen , Eerik Soares Mantere , Nina Savela , Atte Oksanen\",\"doi\":\"10.1016/j.tele.2023.102013\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Artificial intelligence (AI) is becoming increasingly important in all domains of life. Therefore, it is crucial to understand individuals’ attitudes towards AI. This article investigated attitudes toward AI through two studies that are based on the self-determination theory and basic psychological needs (autonomy, competence, and relatedness). Study 1 used cross-sectional samples of adult populations aged 18–75 from Finland (<em>N</em> = 1,541), France (<em>N</em> = 1,561), Germany (<em>N</em> = 1,529), Ireland (<em>N</em> = 1,112), Italy (<em>N</em> = 1,530), and Poland (<em>N</em> = 1,533). Study 2 was based on a longitudinal two-wave sample of adults aged 18–80 from Finland (<em>N</em> = 828). Based on the robust regression analyses, Study 1 found that fulfillment of basic psychological needs was associated with higher AI positivity and lower AI negativity across Europe. According to the Study 2 results, based on hybrid multilevel regression models, autonomy and relatedness increased AI positivity and decreased AI negativity over time. The results provide robust evidence on the role of self-determination in attitudes towards AI. Self-determination is an important factor in AI acceptance and is becoming increasingly important considering the rapid development and adoption of AI solutions.</p></div>\",\"PeriodicalId\":48257,\"journal\":{\"name\":\"Telematics and Informatics\",\"volume\":\"82 \",\"pages\":\"Article 102013\"},\"PeriodicalIF\":7.6000,\"publicationDate\":\"2023-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Telematics and Informatics\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0736585323000771\",\"RegionNum\":2,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"INFORMATION SCIENCE & LIBRARY SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Telematics and Informatics","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0736585323000771","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
Self-determination and attitudes toward artificial intelligence: Cross-national and longitudinal perspectives
Artificial intelligence (AI) is becoming increasingly important in all domains of life. Therefore, it is crucial to understand individuals’ attitudes towards AI. This article investigated attitudes toward AI through two studies that are based on the self-determination theory and basic psychological needs (autonomy, competence, and relatedness). Study 1 used cross-sectional samples of adult populations aged 18–75 from Finland (N = 1,541), France (N = 1,561), Germany (N = 1,529), Ireland (N = 1,112), Italy (N = 1,530), and Poland (N = 1,533). Study 2 was based on a longitudinal two-wave sample of adults aged 18–80 from Finland (N = 828). Based on the robust regression analyses, Study 1 found that fulfillment of basic psychological needs was associated with higher AI positivity and lower AI negativity across Europe. According to the Study 2 results, based on hybrid multilevel regression models, autonomy and relatedness increased AI positivity and decreased AI negativity over time. The results provide robust evidence on the role of self-determination in attitudes towards AI. Self-determination is an important factor in AI acceptance and is becoming increasingly important considering the rapid development and adoption of AI solutions.
期刊介绍:
Telematics and Informatics is an interdisciplinary journal that publishes cutting-edge theoretical and methodological research exploring the social, economic, geographic, political, and cultural impacts of digital technologies. It covers various application areas, such as smart cities, sensors, information fusion, digital society, IoT, cyber-physical technologies, privacy, knowledge management, distributed work, emergency response, mobile communications, health informatics, social media's psychosocial effects, ICT for sustainable development, blockchain, e-commerce, and e-government.