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Children will increasingly come of age with personified robots and potentially form social and even moral relationships with them. What will such relationships look like? To address this question, 90 children (9-, 12-, and 15-year-olds) initially interacted with a humanoid robot, Robovie, in 15-min sessions. Each session ended when an experimenter(More)
Robots will increasingly take on roles in our social lives where they can cause humans harm. When robots do so, will people hold robots morally accountable? To investigate this question, 40 undergraduate students individually engaged in a 15-minute interaction with ATR's humanoid robot, Robovie. The interaction culminated in a situation where Robovie(More)
Will people keep the secret of a socially compelling robot who shares, in confidence, a "personal" (robot) failing? Toward answering this question, 81 adults participated in a 20-minute interaction with (a) a humanoid robot (Robovie) interacting in a highly social way as a lab tour guide, and (b) with a human being interacting in the same highly social way.(More)
This conceptual paper provides design guidelines to enhance the sociality of human-robot interaction. The paper draws on the <i>Interaction Pattern Approach</i> in HRI, which seeks to specify the underlying structures and functions of human interaction. We extend this approach by proposing that in the same way people effectively engage the social world with(More)
This paper shows how humor can be used as an interaction pattern to help establish sociality in human-robot interaction. Drawing illustratively from our published research on people interacting with ATR's humanoid robot Robovie, we highlight four forms of humor that we successfully implemented: wit and the ice-breaker, corny joke, subtle humor, and dry(More)
This research builds on the UbiComp vision of systems that do not do things <i>for</i> people but engage people in their computational environment so that people can do things for themselves better. In this investigation, we sought to make good on a proof-of-concept where people interact with a social robot whereby the robot helps people to be more humanly(More)