Robot initiative increases the rhythm of interaction in a team learning task
نویسندگان
چکیده
We hypothesize that the initiative of a robot during a collaborative task with a human can influence the pace of interaction and the reaction time of the human response to attention cues. We designed a two-phases object learning experiment where the human teaches the robot about the properties of some objects. We compare the effect of the initiator of the task in the teaching phase (human or robot) on the rhythm of the interaction in the verification phase. We measure the reaction time of the human gaze when responding to attention utterances of the robot. Our experiments show that when the robot is the initiator of the learning task, the pace of interaction is higher and the reaction to attention cues faster. ∗A full version of this paper is available as Robot initiative in a team learning task increases the rhythm of interaction but not the perceived engagement. Frontiers in Neurorobotics. Vol 8, No 5, DOI 10.3389/fnbot.2014.00005. The work was partially funded by the European Commission, through the Projects CoDyCo (FP7-ICT-2011-9, No. 600716) and Michelangelo (FP7-ICT No. 288241), and by French National Agency of Research, through the Projects MACSi (ANR-10-BLAN-0216) and EDHHI/SMART (ANR11-IDEX-0004-02). †All the authors are with: Sorbonne Universités, UPMC Univ Paris 06, UMR 7222, Institut des Systèmes Intelligents et de Robotique (ISIR), F-75005, Paris, France CNRS, UMR 7222, Institut des Systèmes Intelligents et de Robotique (ISIR), F-75005, Paris, France
منابع مشابه
Robot initiative in a team learning task increases the rhythm of interaction but not the perceived engagement
We hypothesize that the initiative of a robot during a collaborative task with a human can influence the pace of interaction, the human response to attention cues, and the perceived engagement. We propose an object learning experiment where the human interacts in a natural way with the humanoid iCub. Through a two-phases scenario, the human teaches the robot about the properties of some objects...
متن کاملSoccer Goalkeeper Task Modeling and Analysis by Petri Nets
In a robotic soccer team, goalkeeper is an important challenging role, which has different characteristics from the other teammates. This paper proposes a new learning-based behavior model for a soccer goalkeeper robot by using Petri nets. The model focuses on modeling and analyzing, both qualitatively and quantitatively, for the goalkeeper role so that we have a model-based knowledge of the ta...
متن کاملVisual Tracking using Learning Histogram of Oriented Gradients by SVM on Mobile Robot
The intelligence of a mobile robot is highly dependent on its vision. The main objective of an intelligent mobile robot is in its ability to the online image processing, object detection, and especially visual tracking which is a complex task in stochastic environments. Tracking algorithms suffer from sequence challenges such as illumination variation, occlusion, and background clutter, so an a...
متن کاملA Q-learning Based Continuous Tuning of Fuzzy Wall Tracking
A simple easy to implement algorithm is proposed to address wall tracking task of an autonomous robot. The robot should navigate in unknown environments, find the nearest wall, and track it solely based on locally sensed data. The proposed method benefits from coupling fuzzy logic and Q-learning to meet requirements of autonomous navigations. Fuzzy if-then rules provide a reliable decision maki...
متن کاملHuman Robot Interaction for Multi-robot Systems
The multi-robot manipulation task, where a team of robots cooperatively lift and move objects, is exceptionally difficult due to the synchronization between the robots. Although increasing the number of robots can expand the area that the robots can cover within a bounded period of time, a poor human-robot interface will ultimately compromise the performance of the team of robots. However, intr...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2014