  As robots grow more and more integrated into numerous industries, it is
critical to comprehend how humans respond to their failures. This paper
systematically studies how trust dynamics and system design are affected by
human responses to robot failures. The three-stage survey used in the study
provides a thorough understanding of human-robot interactions. While the second
stage concentrates on interaction details, such as robot precision and error
acknowledgment, the first stage collects demographic data and initial levels of
trust. In the last phase, participants' perceptions are examined after the
encounter, and trust dynamics, forgiveness, and propensity to suggest robotic
technologies are evaluated. Results show that participants' trust in robotic
technologies increased significantly when robots acknowledged their errors or
limitations to participants and their willingness to suggest robots for
activities in the future points to a favorable change in perception,
emphasizing the role that direct engagement has in influencing trust dynamics.
By providing useful advice for creating more sympathetic, responsive, and
reliable robotic systems, the study advances the science of human-robot
interaction and promotes a wider adoption of robotic technologies.
