{"title":"Human–AI communication in initial encounters: How AI agency affects trust, liking, and chat quality evaluation","authors":"Wenjing Pan, Diyi Liu, Jingbo Meng, Hailong Liu","doi":"10.1177/14614448241259149","DOIUrl":null,"url":null,"abstract":"Artificial intelligence (AI) agency plays an important role in shaping humans’ perceptions and evaluations of AI. This study seeks to conceptually differentiate AI agency from human agency and examine how AI’s agency manifested on source and language dimensions may be associated with humans’ perceptions of AI. A 2 (AI’s source autonomy: autonomous vs human-assisted) × 2 (AI’s language subjectivity: subjective vs objective) × 2 (topics: traveling vs reading) factorial design was adopted ( N = 376). The results showed autonomous AI was rated as more trustworthy, and AI using subjective language was rated as more trustworthy and likable. Autonomous AI using subjective language was rated as the most trustworthy, likable, and of the best quality. Participants’ AI literacy moderated the interaction effect of source autonomy and language subjectivity on human trust and chat quality evaluation. Results were discussed in terms of human–AI communication theories and the design and development of AI chatbots.","PeriodicalId":443328,"journal":{"name":"New Media & Society","volume":"30 4","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"New Media & Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/14614448241259149","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Artificial intelligence (AI) agency plays an important role in shaping humans’ perceptions and evaluations of AI. This study seeks to conceptually differentiate AI agency from human agency and examine how AI’s agency manifested on source and language dimensions may be associated with humans’ perceptions of AI. A 2 (AI’s source autonomy: autonomous vs human-assisted) × 2 (AI’s language subjectivity: subjective vs objective) × 2 (topics: traveling vs reading) factorial design was adopted ( N = 376). The results showed autonomous AI was rated as more trustworthy, and AI using subjective language was rated as more trustworthy and likable. Autonomous AI using subjective language was rated as the most trustworthy, likable, and of the best quality. Participants’ AI literacy moderated the interaction effect of source autonomy and language subjectivity on human trust and chat quality evaluation. Results were discussed in terms of human–AI communication theories and the design and development of AI chatbots.
人工智能(AI)代理在塑造人类对人工智能的认知和评价方面发挥着重要作用。本研究试图从概念上将人工智能的能动性与人类的能动性区分开来,并研究人工智能在源和语言维度上表现出的能动性如何与人类对人工智能的认知相关联。研究采用了 2(人工智能的来源自主性:自主 VS 人工辅助)×2(人工智能的语言主观性:主观 VS 客观)×2(主题:旅行 VS 阅读)因子设计(N = 376)。结果显示,自主人工智能被评为更值得信赖,而使用主观语言的人工智能被评为更值得信赖和更受欢迎。使用主观语言的自主人工智能被评为最值得信赖、最讨人喜欢和质量最好的人工智能。参与者的人工智能素养调节了源自主性和语言主观性对人类信任度和聊天质量评价的交互影响。研究结果从人类-人工智能交流理论以及人工智能聊天机器人的设计和开发方面进行了讨论。