1,721,017 research outputs found
Towards social embodied cobots: The integration of an industrial cobot with a social virtual agent
Full text linkThe integration of the physical capabilities of an industrial collaborative
robot with a social virtual character may represent a viable solution to
enhance the workers' perception of the system as an embodied social entity and
increase social engagement and well-being at the workplace. An online study was
setup using prerecorded video interactions in order to pilot potential
advantages of different embodied configurations of the cobot-avatar system in
terms of perceptions of Social Presence, cobot-avatar Unity and Social Role of
the system, and explore the relation of these. In particular, two different
configurations were explored and compared: the virtual character was displayed
either on a tablet strapped onto the base of the cobot or on a large TV screen
positioned at the back of the workcell. The results imply that participants
showed no clear preference based on the constructs, and both configurations
fulfill these basic criteria. In terms of the relations between the constructs,
there were strong correlations between perception of Social Presence, Unity and
Social Role (Collegiality). This gives a valuable insight into the role of
these constructs in the perception of cobots as embodied social entities, and
towards building cobots that support well-being at the workplace
Azure Kinect Performance Evaluation for Human Motion and Upper Limb Biomechanical Analysis
Full text linkHuman motion tracking is an important task for many medical applications. Marker-based optoelectronic
systems are considered the gold standard in human motion tracking. However, their use is not always feasible
in clinics and industrial environments. On the other hand, marker-less sensors became valuable, as they are
inexpensive, noninvasive and easy to use. However, their accuracy can depend on sensor positioning, light
conditions and body occlusions. In this study, following previous works on the feasibility of marker-less
systems for human motion monitoring, we investigate the performance of the Microsoft Azure Kinect sensor
in computing kinematic and dynamic measurements of static postures and dynamic movements. According to
our knowledge, it is the first time that this sensor is compared with a Vicon marker-based system to assess the
best camera positioning while observing the upper body part movements of people performing several tasks.
Twenty-five healthy volunteers were monitored to evaluate the effects of the several testing conditions, namely
the Azure Kinect positions, the light conditions, and lower limbs occlusions, on the tracking accuracy of
kinematic, dynamic, and motor control parameters. From the statistical analysis of the performed
measurements, the camera in the frontal position was the most reliable, the lighting conditions had almost no
effects on the tracking accuracy, while the lower limbs occlusion worsened the accuracy of the upper limbs.
The assessment of human static postures and dynamic movements based on experimental data proves the
feasibility of applying the Azure Kinect to the biomechanical monitoring of human motion in several fields
Understanding and mapping pleasure, arousal and dominance social signals to robot-avatar behavior
No full textGoing Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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