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See detailMay I teach you? Students' behavior when lectured by robotic vs. human teachers
Fernández-Llamas, C.; Conde, M. A.; Rodriguez Lera, Francisco Javier UL et al

in Computers in Human Behavior (2017)

\textcopyright 2017 Elsevier Ltd. Social robots have been and are currently being used in many projects, research initiatives and experiments, but we know relatively little about them compared to humans ... [more ▼]

\textcopyright 2017 Elsevier Ltd. Social robots have been and are currently being used in many projects, research initiatives and experiments, but we know relatively little about them compared to humans when performing a social task such as teaching. Using an experiment in which a robot and a human teacher were used for teaching computational concepts to a group of K-12 students, the main goal of this paper is not to analyze the scores obtained in the post-test performed, but to focus on the students' attitudes towards robots. In order to do this, a version of the NARS and RAS questionnaires, adapted for children, was used. The analysis of the results of these questionnaires considers differences between age groups and students lectured by a robot vs. a human teacher. We conclude that age is the main factor that affects students' attitudes towards robots, although we also found other differences between the robot and the human teacher group. [less ▲]

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See detailSpatio-temporal ToF data enhancement by fusion
Garcia, F.; Aouada, D.; Mirbach, B. et al

in Proceedings - International Conference on Image Processing, ICIP (2012)

We propose an extension of our previous work on spatial domain Time-of-Flight (ToF) data enhancement to the temporal domain. Our goal is to generate enhanced depth maps at the same frame rate of the 2-D ... [more ▼]

We propose an extension of our previous work on spatial domain Time-of-Flight (ToF) data enhancement to the temporal domain. Our goal is to generate enhanced depth maps at the same frame rate of the 2-D camera that, coupled with a ToF camera, constitutes a hybrid ToF multi-camera rig. To that end, we first estimate the motion between consecutive 2-D frames, and then use it to predict their corresponding depth maps. The enhanced depth maps result from the fusion between the recorded 2-D frames and the predicted depth maps by using our previous contribution on ToF data enhancement. The experimental results show that the proposed approach overcomes the ToF camera drawbacks; namely, low resolution in space and time and high level of noise within depth measurements, providing enhanced depth maps at video frame rate. © 2012 IEEE. [less ▲]

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See detailDepth enhancement by fusion for passive and active sensing
Garcia, F.; Aouada, D.; Abdella, H. K. et al

in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2012), 7585 LNCS(PART 3), 506-515

This paper presents a general refinement procedure that enhances any given depth map obtained by passive or active sensing. Given a depth map, either estimated by triangulation methods or directly ... [more ▼]

This paper presents a general refinement procedure that enhances any given depth map obtained by passive or active sensing. Given a depth map, either estimated by triangulation methods or directly provided by the sensing system, and its corresponding 2-D image, we correct the depth values by separately treating regions with undesired effects such as empty holes, texture copying or edge blurring due to homogeneous regions, occlusions, and shadowing. In this work, we use recent depth enhancement filters intended for Time-of-Flight cameras, and adapt them to alternative depth sensing modalities, both active using an RGB-D camera and passive using a dense stereo camera. To that end, we propose specific masks to tackle areas in the scene that require a special treatment. Our experimental results show that such areas are satisfactorily handled by replacing erroneous depth measurements with accurate ones. © 2012 Springer-Verlag. [less ▲]

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