xe2x80x9cYou Are Doing so Great!xe2x80x9d xe2x80x93 The Effect of a Robotxe2x80x99s Interaction Style on SelfEfficacy in HRI People form mental models about robotsxe2x80x99 behavior and intention as they interact with them. The aim of this paper is to evaluate the effect of different interaction styles on selfefficacy in humanrobot interaction (HRI), peoplexe2x80x99s perception of the robot, and task engagement. We conducted a user study in which a social robot assists people verbally while building a house of cards. Data from our experimental study revealed that people engaged longer in the task while interacting with a robot that provides person related feedback than with a robot that gives no person or task related feedback. Moreover, people interacting with a robot with a personoriented interaction style reported a higher selfefficacy in HRI, perceived higher agreeableness of the robot and found the interaction less frustrating, as compared to a robot with a taskoriented interaction style. This suggests that a robotxe2x80x99s interaction style can be considered as a key factor for increasing peoplexe2x80x99s perceived selfefficacy in HRI, which is essential for establishing trust and enabling Humanrobot collaboration.

The Effect of Interaction and Design Participation on Teenagersxe2x80x99 Attitudes towards Social Robots Understanding peoplexe2x80x99s attitudes towards robots and how those attitudes are affected by exposure to robots is essential to the effective design and development of social robots. Although researchers have been studying attitudes towards robots among adults and even children for more than a decade, little has been explored assessing attitudes among teensxe2x80x93a highly vulnerable population that presents unique opportunities and challenges for social robots. Our work aims to close this gap. In this paper we present findings from several participatory robot interaction and design sessions with 136 teenagers who completed a modified version of the Negative Attitudes Towards Robots Scale (NARS) before participation in a robot interaction. Our data reveal that most teens are 1) highly optimistic about the helpfulness of robots, 2) do not feel nervous talking with a robot, but also 3) do not trust a robot with their data. Ninety teens also completed a postinteraction survey and reported a significant change in the motional attitudes subscale of the NARS. We discuss the implications of our findings on the design of social robots for teens.