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Updating the paradigm: Investigating the role of swift trust in human-robot teams

Sabina M. Patel, Elizabeth Phillips, Elizabeth H. Lazzara

Year
2022
Citations
2

Abstract

With the influx of technology use and human-robot teams, it is important to understand how swift trust is developed within these teams. Given this influx, we plan to study how surface cues (i.e., observable characteristics) and imported information (i.e., knowledge from external sources or personal experiences) effect the development of swift trust. We hypothesize that human-like surface level cues and positive imported information will yield higher swift trust. These findings will help the assignment of human robot teams in the future.

Keywords

SwiftRobotHuman–robot interactionKnowledge managementPlan (archaeology)Human–computer interactionComputer scienceYield (engineering)Artificial intelligenceGeography

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