Having the Right Attitude: How Attitude Impacts Trust Repair in Human—Robot Interaction
Having the Right Attitude: How Attitude Impacts Trust Repair in Human—Robot Interaction
复制标题
拥有正确的态度：态度如何影响人机交互中的信任修复
DOI：
10.5555/3523760.3523806
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发表时间：
2022
期刊：
影响因子：
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通讯作者：
Connor Esterwood
中科院分区：
文献类型：
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作者：
Connor Esterwood
机器人同事和人类同事一样，也会犯一些破坏信任的错误。然而，信任对于促进人机协作和促进人与人协作同样重要。此外，个人对机器人的态度可能存在显着差异，这也会影响或阻碍他们对机器人的信任。为了更好地理解个人态度如何影响信任修复策略，我们提出了一个借鉴认知失调理论的理论模型。为了凭经验验证这个模型，我们对 100 名参与者进行了一项受试者间实验，他们被分配对三种信任违规行为采取四种修复策略（道歉、否认、解释或承诺）中的一种。个人态度确实会调节修复策略的有效性，并且这种效果随着连续的信任违规而有所不同。具体而言，在三次信任违规中的第二次中，相对于个人态度而言，修复策略最为有效，而承诺是受个人态度影响最大的信任修复策略。
Robot co-workers, like human co-workers, make mistakes that undermine trust. Yet, trust is just as important in promoting human-robot collaboration as it is in promoting human-human collaboration. In addition, individuals can signif-icantly differ in their attitudes toward robots, which can also impact or hinder their trust in robots. To better understand how individual attitude can influence trust repair strategies, we propose a theoretical model that draws from the theory of cognitive dissonance. To empirically verify this model, we conducted a between-subjects experiment with 100 participants assigned to one of four repair strategies (apologies, denials, explanations, or promises) over three trust violations. Individual attitudes did moderate the efficacy of repair strategies and this effect differed over successive trust violations. Specifically, repair strategies were most effective relative to individual attitude during the second of the three trust violations, and promises were the trust repair strategy most impacted by an individual's attitude.
机器人犯错后的人类信任：不同形式的机器人通信的影响研究
DOI：
10.1109/ro-man46459.2019.8956424
发表时间：
2019
期刊：
2019 28th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN
影响因子：
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作者：
Ye, Sean;Neville, Glen;Schrum, Mariah;Gombolay, Matthew;Chernova, Sonia;Howard, Ayanna
通讯作者：
Howard, Ayanna