Tulin Gunduz Cengiz

Tool use as distributed cognition: how tools help, hinder and define manual skill.

Our thesis in this paper is that, in order to appreciate the interplay between cognitive (goal-directed) and physical performance in tool use, it is necessary to determine the role that representations play in the use of tools. We argue that rather being solely a matter of internal (mental) representation, tool use makes use of the external representations that define the human–environment–tool–object system. This requires the notion of Distributed Cognition to encompass not simply the manner in which artifacts represent concepts but also how they represent praxis. Our argument is that this can be extended to include how artifacts-in-context afford use and how this response to affordances constitutes a particular form of skilled performance. By artifacts-in-context, we do not mean solely the affordances offered by the physical dimensions of a tool but also the interaction between the tool and the object that it is being used on. From this, “affordance” does not simply relate to the physical appearance of the tool but anticipates subsequent actions by the user directed towards the goal of changing the state of the object and this is best understood in terms of the “complimentarity” in the system. This assertion raises two challenges which are explored in this paper. The first is to distinguish “affordance” from the adaptation that one might expect to see in descriptions of motor control; when we speak of “affordance” as a form of anticipation, don’t we just mean the ability to adjust movements in response to physical demands? The second is to distinguish “affordance” from a schema of the tool; when we talk about anticipation, don’t we just mean the ability to call on a schema representing a “recipe” for using that tool for that task? This question of representation, specifically what knowledge needs to be represented in tool use, is central to this paper.

Evaluation of the interaction between soil and antibiotics.

The aim of this study was to investigate the occurrence of tetracycline and sulfonamide antibiotics in 13 different soil samples collected from agricultural fields. As well as the antibiotic analysis 18 different physicochemical properties of the soil samples were determined in order to establish a relationship between the recovery rates of antibiotics from the samples and the characteristics of the samples that provide critical information for the reliability of an applied antibiotic analysis method. While the concentrations of tetracyclines were 0.025–0.105 mg kg−1 sulfonamide antibiotics were not detected in any investigated soil samples. The mean recovery rates of tetracyclines and sulfonamides were 84.57 ± 14.92% and 65.88 ± 8.56%, respectively. Although, the organic carbon contents and cation exchange capacities of the soil samples exhibited a great variation the results of multivariate statistical analysis indicated that the metal content of soils was the major factor significantly influenced the recovery rates of the antibiotics. The sulfonamide recovery rates were positively influenced by the calcium and magnesium amounts in the soil samples, whereas tetracycline recovery rates were markedly diminished by increasing the amount of these polyvalent metals.

Objective classification of performance in the use of a piercing saw in jewellery making.

Data from 15 jewellery students, in their 1st and 3rd years of training, were analysed to show how data collected from work settings can be used to objectively evaluate performance in the use of tools. Participants were asked to use a piercing saw to cut 5 lines in a piece of metal. Performance was categorised in terms of functional dynamics. Data from strain gauges and a tri-axial accelerometer (built into the handle of the saw) were recorded and thirteen metrics derived from these data. The key question for this paper is which metrics could be used to distinguish levels of ability. Principal Components Analysis identified five components: sawing action; grasp of handle; task completion time; lateral deviation of strokes; and quality of lines cut. Using representative metrics for these components, participants could be ranked in terms of performance (low, medium, high) and statistical analysis showed significant differences between participants on key metrics.

Statistical Approach to a Model-based Anthropometry Description

This pilot study shows an approach to generate a man-model-based anthropometry description. With the video-based software PCMAN, which has the same model structure as the DHM Ramsis, the individual anthropometry of a subject can be measured manually and expressed by a set of 476 model parameters. On the basis of 140 available anthropometric data sets statistical analysis has been done and four factors could be identified which allow for a good general description of human body shapes. Having shown the applicability of the approach the described method would now have to be applied to large, high quality data sets from body scans.