Relying on automated suggestions from technology to make decisions has become a part of our everyday life. Most existing research examines trust in automation for high-risk domains as well as vast recommender systems for low-risk consumer use. This research aims to evaluate human trust in automated decision AIDS for low-risk everyday use, where one automated suggestion is presented and a few alternative options are available. In the current study, we investigate whether anthropomorphic imagery and information reliability can influence perceived trust of the automated decision aid. We report on results from 105 participants, which suggest that levels of semi-Anthropomorphic imagery do not influence trust in the way that a full anthropomorphic image of a human might. Our work contributes to a deeper understanding of how to utilize design, specifically visual imagery, to appropriately calibrate trust in automated decision AIDS for everyday use.
|Original language||English (US)|
|Title of host publication||Proceedings of the Technology, Mind, and Society Conference, TechMindSociety 2018|
|Publisher||Association for Computing Machinery|
|State||Published - Apr 5 2018|
|Event||2018 Technology, Mind, and Society Conference, TechMindSociety 2018 - Washington, United States|
Duration: Apr 5 2018 → Apr 7 2018
|Name||ACM International Conference Proceeding Series|
|Other||2018 Technology, Mind, and Society Conference, TechMindSociety 2018|
|Period||4/5/18 → 4/7/18|
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