Using Motion Expressiveness and Human Pose Estimation for Collaborative Surveillance Art

Machine-Assisted Learning in Highly-Interdisciplinary Media Fields: A Multimedia Guide on Modern Art

“…The second important analysis task, monitoring of users' preferences, was conducted through an empirical survey, with the help of a corresponding questionnaire. The answers of forty-seven (47) individuals were finally selected (out of 103) to balance the diversity of the sample (therefore, the statistical reliability of the approach), which featured age ranging between thirty and fifty years, with interests and professional occupations in the domains of art and education (that was evaluated as positive). In addition, the majority of the participants attended a university program and/or they were interested in post-graduate studies (>80%), with only a small percentage posing a post-graduate degree (~11%), while most of them had frequent access to the Internet and, in many cases, via multiple devices (desktop/laptop PC, smartphone, tablet, etc.).…”

“…The bundle of the implemented TEL services can be utilized for forming innovative education activities, both for in-class tutoring and self-training support, through the use of comprehensive material (e.g., showing items of specific movements, artists, artworks, their temporal evolution/timelines, etc.). Hence, the values of blended learning [26] are extended with the incorporation of representative examples, experiential assignments, simulations, and exercises that can be addressed to individuals or as team-work projects, thus transforming the schooling routine into an augmented interactive experience [30,31,[45][46][47][48][49]. Specifically, photo galleries can be used to highlight the resemblances and dissimilarities of the different species; quizzes can examine the levels of understanding and knowledge, triggering class discussion; puzzles can be exploited to organize personal collections and team-contests [26][27][28].…”

“…Figure 4 presents the envisioned TEL framework behind the conducted work, which included already running services and future perspectives, while also demonstrating the two-folded orientation of the proposed "machine-assisted learning". When considering the intensiveness of present-day research projects that were related to art recognition and attendance [31][32][33]46,47], such labors require interdisciplinary workforce and associative media training that cannot be left out of the scope of this work. Specifically, while mobile devices are not compatible with the offered gaming utilities (as already explained), there was an effort to engage smartphones and tablets in educative exercises on artificial art recognition.…”

Computational Aesthetics of the Collective Affective Dynamics of IMDB Movie Reviews

“…At the same time, it can be used to evoke a subjective experience of understanding in the form of an emotional response. Data art is a different form of 'information aesthetics' in that it consists of data representations that deliberately hinder and obscure the understanding of a dataset by integrating elements of subjectivity in the data mapping process (Lau 2007), (Billeskov 2018). The objective of data art is then to create aesthetic forms and artistic works by overstating and dramatizing some underlying qualities of the dataset instead of revealing trends or patterns (Moere 2007).…”