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2016
Rea, F.; Muratore, P.; Sciutti, A. (2016) : 13-year-olds approach human-robot interaction like adults: 2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob): Cergy-Pontoise/Paris, France: IEEE, S. 138-143

DOI: https://doi.org/10.1109/DEVLRN.2016.7846805

Abstract: Robots are at the evolution stage that will bring them to interact with humans in daily activities. This will lead to a direct contact with all the members of a household. It is important therefore to understand whether a robot behavior designed for adults could fit also the needs of their younger relatives. In particular, in this work we investigate whether the acceptance and basic understanding of robot behaviors changes between the onset of adolescence and adulthood. With a series of video-based tests we address three different aspects of the interaction: a) the a priori expectations of the prospective users on the most appropriate features of an interactive robot; b) their subjective preferences about a humanoid robot verbal and non-verbal behavior in a demonstration task; and c) the quantitative effect of robot gaze and hand motion on the ability of its human partner to understand its goal. The results show a remarkable similarity between teenagers and adults in all the subjective and quantitative metrics considered, suggesting that a robot behavior designed for adults would be probably effective also in the interaction with 13-year-olds. Our findings also underline the high relevance of an appropriate design of robot gaze direction, as both age groups relied substantially on this implicit cue in their understanding of robot goals.

Keywords: adolescence, adulthood, Angemessen(heit) (von Technik), demonstration task, goal anticipation, hand motion, Human voice, Humanoid Robot, Humanoid Robots, human-robot interaction, ieee xplore, implicit communication, interactive robot, motion control, Mouth, Nonverbal behavior, quantitative metrics, robot behavior, robot gaze direction, Robot kinematics, robot motion, Robot sensing systems, Social robotic, subjective metrics, video-based tests, Videos
2014
Avrunin, E.; Simmons, R. (2014) : Socially-appropriate approach paths using human data: The 23rd IEEE International Symposium on Robot and Human Interactive Communication: Edinburgh, Scotland: IEEE, S. 1037-1042

DOI: https://doi.org/10.1109/ROMAN.2014.6926389

Abstract: For service robots operating in indoor environments, the crucial task of navigation is often complicated by the presence of people. Simply treating humans in the environment as additional (often moving) obstacles can violate the complex set of social rules by which people navigate around each other. In contrast, emulating human behavior and navigating in a socially appropriate manner could positively affect people’s comfort with a robot’s presence and motion. We present a method of generating social paths for a robot to approach a person based on a small amount of human data. We also conducted a study in which a robot approached participants using both these social paths and straight-line, nonsocial paths. We found that both approaches were rated comparably when the robot approached from the participant’s front or side, but the social approach was significantly preferred when the robot came from behind the participant.

Keywords: Angemessen(heit) (von Technik), Collision avoidance, Data models, Distance measurement, Human behavior, ieee xplore, Legged locomotion, Magnetic heads, motion control, moving obstacles, Navigation, navigation task, person approach, robot motion, robot presence, service robot, social path, social path generation, social rules, socially-appropriate approach path, straight-line nonsocial path, Torso

2016

2014

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