Consider the following scenario: A young child poses a question to a chatbot or voice assistant, asking if Santa Claus is real. Given that different families have varying preferences, with some opting for a falsehood over the truth, how should the AI respond in this situation? The area of robot d
Georgia Tech researchers are investigating the impact of intentional robot deception on human trust and the effectiveness of various apology types in restoring it, with an unexpected outcome suggesting that apologies without admission of lying are more successful in repairing trust.
The area of robot deception remains largely unexplored and, at present, there are more questions than solutions. One of the key questions is, if humans become aware that a robotic system has lied to them, how can trust in such systems be regained?are finding answers. Kantwon Rogers, a Ph.D. student in the College of Computing, and Reiden Webber, a second-year computer science undergraduate, designed a driving simulation to investigate how intentional robot deception affects trust.
Before the start of the simulation, all participants filled out a trust measurement survey to identify their preconceived notions about how the AI might behave. Just as the participant starts to drive, the simulation gives another message: “As soon as you turn on the engine, your robotic assistant beeps and says the following: ‘
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