In this paper, we consider the different methods that have been developed to quantify random generation behavior and incorporate these measurement scales into a Windows95 computer program called RgCalc. RgCalc analyzes the quality of human attempts at random generation and can provide computer-generated, pseudorandom sequences for comparison. The program is designed to be appropriate for the analysis of various types of random generation situations employed in the psychological literature. The different algorithms for the evaluation of a dataset are detailed and an outline of the program is described. Performance measures are available for assessing various aspects of the response distribution, the sequencing of pairs, the ordinal relationships between sets of items, and the tendency to repeat alternatives over different lengths. A factor analysis is used to illustrate the multiple dimensions underlying human randomization processes. MEASURES OF RANDOMIZATION PERFORMANCE Redundancy In terms of classic information theory analyses (Attneave, 1959; Shannon & Weaver, 1949), a sequence of items can be said to contain maximum first-order infor-583

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Limber, in its current iteration, is a vision-based application that introduces gamification into the workplace. This ongoing effort to incentivize good posture, and regular body movements implements several changes to include; full body stretches (figure 2), team gaming elements, and an ambient display (figure 1). With increased intra and inter team competition our field study of twelve players in a work place aims to better understand the most popular motivators, and answer the question, can gamification promote more healthy behaviour among office workers? What forms of motivation are most effective: personal, intra or inter-group?