arXiv subjects

Harm Hollestelle

Publications and source records attributed to Harm Hollestelle.

3 recordsLinked to original sources

arXiv2010

Do You Know Where To Look

A group of line drawings in recent reports made by physics students during experimenting is investigated in order to describe the attitudes that can be related to the act of drawing. These attitudes represent time behavior and are related to how the experimenter basically perceives time. Also two concepts, one of desire, by Levinas, and the concept of constitution, by Husserl, are applied to describe two different notions of science. These notions are related to the question where the focus of the experiment is on: in the case of field work with responsibility for the infinite, and in the case of testing with responsibility for the un-distracted given. At least for this investigated group of drawings a meaningful correspondence can be shown to exist between the attitudes of the act of drawing and these notions of science.

physics.gen-ph↗

arXiv2010

Correlation of Aspects of Recent Drawings made by Physicists

In this study recent drawings made by physics students are investigated. These drawings are part of reports made during experimenting. Aspects of drawings are chosen for investigation that are linked to basic physical notions like plasticity and spatiality. Also the aspects are required to link to the motor recognition experience during drawing, of the one who made the drawing. In this way the aim is to clarify the individual notions of space and time that are basic to performing the experiments. These are called the attitude with which the experiment is performed. Some aspects of these drawings tend to be correlated in several trends. Polanyi's theory of consciousness is generalised to explain why this correlation of aspects occurs. The correlation trends and attitudes can be related to each other. The results are presented in a schematic way to facilitate interpretation of the concepts introduced and of the correlation results.

physics.gen-ph↗

arXiv2009

On the Expressiveness of Line Drawings

Can expressiveness of a drawing be traced with a computer? In this study a neural network (perceptron) and a support vector machine are used to classify line drawings. To do this the line drawings are attributed values according to a kinematic model and a diffusion model for the lines they consist of. The values for both models are related to looking times. Extreme values according to these models, that is both extremely short and extremely long looking times, are interpreted as indicating expressiveness. The results strongly indicate that expressiveness in this sense can be detected, at least with a neural network.

cs.OH↗