我们更信任谁:人工智能驱动与人类驱动的经济决策

IF 0.4 Q4 PSYCHOLOGY, EXPERIMENTAL Eksperimentalnaya Psikhologiya Pub Date : 2023-08-15 DOI:10.17759/exppsy.2023160206
F.N. Vinokurov, E.D. Sadovskaya
{"title":"我们更信任谁:人工智能驱动与人类驱动的经济决策","authors":"F.N. Vinokurov, E.D. Sadovskaya","doi":"10.17759/exppsy.2023160206","DOIUrl":null,"url":null,"abstract":"<p>AI as a new direction in the study of human-computer interaction requires a new look at trust as a phenomenon. In our study, we focus on examining trust in the context of economic behavior. The study took place in two stages. At the first stage, during the interview, we have identified the main factors of trust and mistrust in AI and the specific factors of trust in AI in economic decisions. Also, we have revealed a subjective indicator of the level of trust in the advisor&amp;rsquo;s recommendations - the economic activity of the participant when performing the recommended action. At the second stage, an experiment was carried out. The participants were asked to play a stock exchange game. The goal of the game was to make money by buying and selling shares. There were an option to ask an advise. For the experimental group, AI acted as an advisor, for the control group, a person (an expert in trading). According to the analysis of 800 economic decisions, economic activity during the game was higher among the participants in the control group who followed the advice of the person (t = 3.646, p &amp;lt;0.001). As a result of the study, three main conclusions were obtained: 1) the level of trust in councils in an economic decision can be expressed in the form of economic activity; 2) the level of trust in economic recommendation depends on whether the recommendation is made by a human or an AI; 3) the specific factors of trust in economic decisions are highlighted: the individuality of the council and the speed of the requested solution.</p>","PeriodicalId":43135,"journal":{"name":"Eksperimentalnaya Psikhologiya","volume":"49 1","pages":"0"},"PeriodicalIF":0.4000,"publicationDate":"2023-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Whom We Trust More: AI-driven vs. Human-driven Economic Decision-Making\",\"authors\":\"F.N. Vinokurov, E.D. Sadovskaya\",\"doi\":\"10.17759/exppsy.2023160206\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>AI as a new direction in the study of human-computer interaction requires a new look at trust as a phenomenon. In our study, we focus on examining trust in the context of economic behavior. The study took place in two stages. At the first stage, during the interview, we have identified the main factors of trust and mistrust in AI and the specific factors of trust in AI in economic decisions. Also, we have revealed a subjective indicator of the level of trust in the advisor&amp;rsquo;s recommendations - the economic activity of the participant when performing the recommended action. At the second stage, an experiment was carried out. The participants were asked to play a stock exchange game. The goal of the game was to make money by buying and selling shares. There were an option to ask an advise. For the experimental group, AI acted as an advisor, for the control group, a person (an expert in trading). According to the analysis of 800 economic decisions, economic activity during the game was higher among the participants in the control group who followed the advice of the person (t = 3.646, p &amp;lt;0.001). As a result of the study, three main conclusions were obtained: 1) the level of trust in councils in an economic decision can be expressed in the form of economic activity; 2) the level of trust in economic recommendation depends on whether the recommendation is made by a human or an AI; 3) the specific factors of trust in economic decisions are highlighted: the individuality of the council and the speed of the requested solution.</p>\",\"PeriodicalId\":43135,\"journal\":{\"name\":\"Eksperimentalnaya Psikhologiya\",\"volume\":\"49 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.4000,\"publicationDate\":\"2023-08-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Eksperimentalnaya Psikhologiya\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.17759/exppsy.2023160206\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"PSYCHOLOGY, EXPERIMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Eksperimentalnaya Psikhologiya","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17759/exppsy.2023160206","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PSYCHOLOGY, EXPERIMENTAL","Score":null,"Total":0}
引用次数: 0

摘要

<p>人工智能作为人机交互研究的新方向,需要重新看待信任这一现象。在我们的研究中,我们重点研究经济行为背景下的信任。这项研究分两个阶段进行。在第一阶段,在访谈中,我们确定了对人工智能的信任和不信任的主要因素,以及在经济决策中对人工智能的信任的具体因素。此外,我们还揭示了对顾问建议的信任程度的主观指标-参与者在执行建议行动时的经济活动。第二阶段,进行了实验。参与者被要求玩一个股票交易游戏。这个游戏的目标是通过买卖股票来赚钱。有一个选项是请求建议。在实验组中,人工智能作为一个顾问,在对照组中,人工智能作为一个人(交易专家)。根据对800项经济决策的分析,在游戏过程中,遵循该人建议的对照组参与者的经济活动更高(t = 3.646, p <0.001)。研究结果得出了三个主要结论:1)经济决策中对理事会的信任水平可以以经济活动的形式表达;2)对经济建议的信任程度取决于该建议是由人类还是人工智能提出的;3)强调了经济决策中信任的具体因素:委员会的个性和要求解决方案的速度。</p>
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Whom We Trust More: AI-driven vs. Human-driven Economic Decision-Making

AI as a new direction in the study of human-computer interaction requires a new look at trust as a phenomenon. In our study, we focus on examining trust in the context of economic behavior. The study took place in two stages. At the first stage, during the interview, we have identified the main factors of trust and mistrust in AI and the specific factors of trust in AI in economic decisions. Also, we have revealed a subjective indicator of the level of trust in the advisor&rsquo;s recommendations - the economic activity of the participant when performing the recommended action. At the second stage, an experiment was carried out. The participants were asked to play a stock exchange game. The goal of the game was to make money by buying and selling shares. There were an option to ask an advise. For the experimental group, AI acted as an advisor, for the control group, a person (an expert in trading). According to the analysis of 800 economic decisions, economic activity during the game was higher among the participants in the control group who followed the advice of the person (t = 3.646, p &lt;0.001). As a result of the study, three main conclusions were obtained: 1) the level of trust in councils in an economic decision can be expressed in the form of economic activity; 2) the level of trust in economic recommendation depends on whether the recommendation is made by a human or an AI; 3) the specific factors of trust in economic decisions are highlighted: the individuality of the council and the speed of the requested solution.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Eksperimentalnaya Psikhologiya
Eksperimentalnaya Psikhologiya PSYCHOLOGY, EXPERIMENTAL-
CiteScore
0.90
自引率
50.00%
发文量
16
审稿时长
12 weeks
期刊最新文献
Emotional Component of the Perceived Quality of Acoustic Events Categorization in Hybrid Search: A Study Using Eye Movement Registration Predictors of Nonverbal Recognition of Emotional Facial Expressions Face VS Figures: Features of Constructing the Age of an Unfamiliar Person Based on the Perception of His Portrait and Height Photographs Visual Illusions and Perception of Classical Architecture
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1