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

© 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

The design of social drones: A review of studies on autonomous flyers in inhabited environments

\ua9 2019 Copyright held by the owner/author(s). The design space of social drones, where autonomous flyers operate in close proximity to human users or bystanders, is distinct from use cases involving a remote human operator and/or an uninhabited environment; and warrants foregrounding human-centered design concerns. Recently, research on social drones has followed a trend of rapid growth. This paper consolidates the current state of the art in human-centered design knowledge about social drones through a review of relevant studies, scaffolded by a descriptive framework of design knowledge creation. Our analysis identified three high-level themes that sketch out knowledge clusters in the literature, and twelve design concerns which unpack how various dimensions of drone aesthetics and behavior relate to pertinent human responses. These results have the potential to inform and expedite future research and practice, by supporting readers in defining and situating their future contributions. The materials and results of our analysis are also published in an open online repository that intends to serve as a living hub for a community of researchers and designers working with social drones

"Are you sad, Cozmo?" How humans make sense of a home robot's emotion displays

This paper explores how humans interpret displays of emotion pro- duced by a social robot in real world situated interaction. Taking a multimodal conversation analytic approach, we analyze video data of families interacting with a Cozmo robot in their homes. Focusing on one happy and one sad robot animation, we study, on a turn-by-turn basis, how participants respond to audible and visible robot behavior designed to display emotion. We show how emotion animations are consequential for interactional progres- sivity: While displays of happiness typically move the interaction forward, displays of sadness regularly lead to a reconsideration of previous actions by humans. Furthermore, in making sense of the robot animations people may move beyond the designer’s re- ported intentions, actually broadening the opportunities for their subsequent engagement. We discuss how sadness functions as an interactional "rewind button" and how the inherent vagueness of emotion displays can be deployed in design.Funding agencies:  Swedish Research CouncilSwedish Research Council [2016-00827]</p