4 research outputs found

    Getting to know Pepper : Effects of people’s awareness of a robot’s capabilities on their trust in the robot

    Get PDF
    © 2018 Association for Computing MachineryThis work investigates how human awareness about a social robot’s capabilities is related to trusting this robot to handle different tasks. We present a user study that relates knowledge on different quality levels to participant’s ratings of trust. Secondary school pupils were asked to rate their trust in the robot after three types of exposures: a video demonstration, a live interaction, and a programming task. The study revealed that the pupils’ trust is positively affected across different domains after each session, indicating that human users trust a robot more the more awareness about the robot they have

    Is Now A Good Time? An Empirical Study of Vehicle-Driver Communication Timing

    Get PDF
    CHI 2019, May 4–9, 2019, Glasgow, Scotland UKThe article of record as published may be found at https://doi.org/10.1145/3290605.3300867Advances in automotive sensing systems and speech interfaces provide new opportunities for smarter driving assistants or infotainment systems. For both safety and consumer satisfaction reasons, any new system which interacts with drivers must do so at appropriate times. We asked 63 drivers, ”Is now a good time?” to receive non-driving information during a 50-minute drive. We analyzed 2,734 responses and synchronized automotive and video data, and show that while the chances of choosing a good time can be determined with better success using easily accessible automotive data, certain nuances in the problem require a richer understanding of the driver and environment states in order to achieve higher performance. We illustrate several of these nuances with quantitative and qualitative analyses to contribute to the understanding of how to design a system that might simultaneously minimize the risk of interacting at a bad time while maximizing the window of allowable interruption.The Toyota Research Institute (TRI) provided funds to assist with this researc

    Human Trust in Artificial Intelligence: Review of Empirical Research

    No full text
    corecore