Perceived trust in artificial intelligence technologies: A preliminary study

Abstract

Artificial intelligence (AI) is becoming increasingly prevalent in all spheres of society. Still, the perception of AI from users and customers remains the main barrier for its widespread adoption. Previous studies showed that the acceptance of new technologies in society depends on perceived characteristics. This study examined users’ perception of trust, the difficulty of the task, and application performance when using an AI‐based technology. These factors help us to elucidate the mechanisms for building trust in AI technology from the users’ perspective. A total of 18 participants took part in the experiment with the Google AutoDraw software as an AI tool. As a result, the difficulty of the task, perceived performance, and success/failure of the task can be regarded as the influential factors for the perceived trust evaluation. The perceived trust of users in new AI products would be increased by improving product performance and the successful implementation of the tasks. The obtained results and insights can serve AI product developers to increase the level of users’ trust and attraction towards their technologies and applications.

Artificial intelligence and human workers interaction at team level: a conceptual assessment of the challenges and potential HRM strategies

“…HRM function in organisations where human workers interact, collaborate and perhaps compete with AI-enabled robots in the same teams will need to use such and other similar insights to develop a relatively fair performance appraisal system. This is expected to overcome hesitations and develop trust in such emerging technologies (Bitkina et al , 2020) in order to keep human workers motivated to continue interacting and collaborating with AI-enabled robots, as team members.…”

User Stress in Artificial Intelligence: Modeling in Case of System Failure

“…A preliminary experiment [30] was conducted to determine the drawing objects corresponding to words and to confirm the difficulty levels of the objects. The preliminary experiment consisted of the selection of target words by five participants who did not participate in the main experiment.…”

“…Trust was found to be one of the variables with the ability to significantly predict AI technology adoption. The methodology of perceived trust evaluation in AI technology was proposed [30]. It was found that the perceived difficulty, perceived performance, success/failure of the task, and task difficulty were extracted as the important predictors of perceived trust in AI system use.…”

Why Do You Trust Siri?: The Factors Affecting Trustworthiness of Intelligent Personal Assistant

“…Trust building in various systems was considered to gain insights into future AI product design (Hengstler et al, 2016; Qin et al, 2020). Difficulty, performance and results of tasks contributed to the perceived trust evaluation (Bitkina et al, 2020). The formation of AI representation, communication in human‐AI, intelligence level of machine and the emotion produced in the interaction were important to shape users' cognitive and emotional trust (Glikson & Woolley, 2020; Troshani et al, 2020;).…”