The automatic assessment of the level independence a person, based on recognition set Activities Daily Living, is among most challenging research fields in Ambient Intelligence. article proposes framework for motion primitives, relying Gaussian Mixture Modeling and Regression creation activity models. A procedure Dynamic Time Warping Mahalanobis distance found to: (i) ensure good classification results; (ii) exploit properties GMM GMR modeling to allow an easy run-time recognition; (iii)...

With the increasing importance of Computational Thinking (CT) at all levels education, it is essential to have valid and reliable assessments. Currently, there a lack such assessments in upper primary school. That why we present development validation competent CT test (cCTt), an unplugged targeting 7–9 year-old students. In first phase, 37 experts evaluated validity cCTt through survey focus group. second was administered 1519 We employed Classical Test Theory, Item Response Confirmatory...

Cultural competence is a well known requirement for an effective healthcare, widely investigated in the nursing literature. We claim that personal assistive robots should likewise be culturally competent, aware of general cultural characteristics and different forms they take individuals, sensitive to differences while perceiving, reasoning, acting. Drawing inspiration from existing guidelines competent healthcare state-of-the-art robotics, we identify key robot capabilities which enable...

Integrating computer science (CS) into school curricula has become a worldwide preoccupation. Therefore, we present CS and Robotics integration model its validation through large-scale pilot study in the administrative region of Canton Vaud Switzerland. Approximately 350 primary teachers followed mandatory continuing professional development program (CPD) adapted format with curriculum scaffolded by instruction modality. This included Unplugged activities that aim to teach concepts without...

The design of computational methods to recognize human motions is among the most promising research activities in Ambient Intelligence. Accepted solutions use acceleration data provided by wearable sensors. To general procedures for motion modeling and recognition, this article adopts Gaussian Mixture Modeling Regression build models learned from examples that allow an easy run-time classification. main contributions are: (i) optimized selection proper number Gaussians building models, which...

The automatic monitoring of specific Activities Daily Living (ADL) can be a useful tool for Human-Robot Interaction in smart environments and Assistive Robotics applications. qualitative definition that is given most ADL the lack well-defined benchmarks, however, are obstacles toward identification effective approaches different tasks. contribution article two-fold: (i) we propose taxonomy allowing their categorization with respect to suitable approach; (ii) present freely available dataset...

In this paper we introduce a gesture-based robot control framework, discuss the adopted design principles and report results about its evaluation with humans. Gesture-based using wearable devices may constitute novel form of human-robot interaction, but implications have not been discussed in literature. We main challenging issues, possible guidelines an open source, freely available implementation commercially robots. The overall performance architecture, as well validation 27 untrained...

Abstract In educational HRI, it is generally believed that a robots behavior has direct effect on the engagement of user with robot, task at hand and also their partner in case collaborative activity. Increasing this then held responsible for increased learning productivity. The state art usually investigates relationship between behaviors robot while assuming linear end goal: learning. However, correct to assume maximise learning, one needs engagement? Furthermore, conventional supervised...

Abstract Understanding the way learners engage with learning technologies, and its relation their learning, is crucial for motivating design of effective interventions. Assessing learners’ state engagement, however, non-trivial. Research suggests that performance not always a good indicator especially open-ended constructivist activities. In this paper, we describe combined multi-modal analytics interaction analysis method uses video, audio log data to identify collaborative behavioral...

Abstract Background Early exposure to Computer Science (CS) and Computational Thinking (CT) for all is critical broaden participation promote equity in the field. But how does introduction of CS CT into primary school curricula impact learning, perception, gaps between groups students? Methodology We investigate a CS-curricular reform teacher Professional Development (PD) programme from an standpoint by applying hierarchical regression structural equation modelling on student learning...

The recent technological advances in sensor miniaturization and embedded processing have provided new challenges possibilities to the field of wearable computing. Two research areas are particularly interested by this innovation: healthcare technology applications that devoted analyzing daily activities a person evaluate their general health, personal dead reckoning (PDR) systems focus on analysis person's movements keep track his/her position dangerous environments situations....

In this article, we investigate the role of interactive haptic-enabled tangible robots in supporting learning cursive letter writing for children with attention and visuomotor coordination issues. We focus on two principal aspects handwriting that are linked to these issues: Visual perception coordination. These respectively enhance features representation learner's mind particular, namely shape (grapheme) dynamics (ductus) letter, which constitute central goals our activity. Building upon...

Educational Robotics (ER) has the potential to provide significant benefits education, provided an increase in outreach by transitioning from extra-curricular initiatives which ER thrived formal education. As Computer Science (CS) Education is undergoing curricular reforms worldwide, present study addresses case of a Digital reform that included as means teach core CS concepts. Approximately 350 teachers first four grades primary school participated mandatory two-year continuing professional...

The way in which humans behave, speak and interact is deeply influenced by their culture. For example, greeting done differently France, Sweden or Japan; the average interpersonal distance changes from one cultural group to other. In order successfully coexist with humans, robots should also adapt behavior culture, customs manners of persons they with. this paper, we deal an important ingredient adaptation: how generate robot plans that respect given preferences, execute them a sensitive...

The functionalities and behaviours of socially assistive robots for the care older people are usually defined by robot's designers with limited room runtime adaptation to meet preferences, expectations needs assisted person. However, plays a crucial role acceptability ultimately its effectiveness. Culture, which deeply influences person's preferences habits, can be viewed as an invaluable "enabling technology" achieve such level adaptation. This paper discusses how guidelines describing...

Abstract The introduction of computing education into curricula worldwide requires multi-year assessments to evaluate the long-term impact on learning. However, no single Computational Thinking (CT) assessment spans primary school, and group CT provides a means transitioning between instruments. This study therefore investigated whether competent test (cCTt) could learning reliably from grades 3 6 (ages 7–11) using data 2709 students. psychometric analysis employed Classical Test Theory,...

Gestures are a natural communication modality for humans. The ability to interpret gestures is fundamental robots aiming naturally interact with Wearable sensors promising monitor human activity, in particular the usage of triaxial accelerometers gesture recognition have been explored. Despite this, state art presents lack systems reliable online using accelerometer data. article proposes SLOTH, an architecture recognition, based on wearable accelerometer, Recurrent Neural Network (RNN)...

Modern manufacturing paradigms introduce the need for robots able to naturally cooperate with humans in an unstructured and dynamic environment. In this article we extend FlexHRC, architecture flexible collaborative robots, online perception-simulation-planning framework that allows robot assess status of workspace, keeping track at all times stage which cooperative process is, identify its next action, simulate it check feasibility and, as a consequence, dynamically allocate tasks itself or...

With the increasing amount of research around Computational Thinking (CT) and endeavors introducing CT into curricula worldwide, assessing at all levels formal education is utmost importance to ensure that CT-related learning objectives are met. This has contributed a progressive increase in number validated reliable assessments for K-12, including primary school. Researchers practitioners thus required choose among multiple instruments, often overlapping their age validity.In this study, we...