Choreographic and Somatic Approaches for the Development of Expressive Robotic Systems

As robotic systems are moved out of factory work cells into human-facing environments questions of choreography become central to their design, placement, and application. With a human viewer or counterpart present, a system will automatically be interpreted within context, style of movement, and form factor by human beings as animate elements of their environment. The interpretation by this human counterpart is critical to the success of the system's integration: knobs on the system need to make sense to a human counterpart; an artificial agent should have a way of notifying a human counterpart of a change in system state, possibly through motion profiles; and the motion of a human counterpart may have important contextual clues for task completion. Thus, professional choreographers, dance practitioners, and movement analysts are critical to research in robotics. They have design methods for movement that align with human audience perception, can identify simplified features of movement for human-robot interaction goals, and have detailed knowledge of the capacity of human movement. This article provides approaches employed by one research lab, specific impacts on technical and artistic projects within, and principles that may guide future such work. The background section reports on choreography, somatic perspectives, improvisation, the Laban/Bartenieff Movement System, and robotics. From this context methods including embodied exercises, writing prompts, and community building activities have been developed to facilitate interdisciplinary research. The results of this work is presented as an overview of a smattering of projects in areas like high-level motion planning, software development for rapid prototyping of movement, artistic output, and user studies that help understand how people interpret movement. Finally, guiding principles for other groups to adopt are posited.Comment: Under review at MDPI Arts Special Issue "The Machine as Artist (for the 21st Century)" http://www.mdpi.com/journal/arts/special_issues/Machine_Artis

Where have all the flowers gone?: a modular systems perspective of IT infrastructure design and productivity

Assessing value of IT infrastructure investments has been both difficult and ambiguous. This research develops and tests a conceptual framework to understand the productivity process. A lagged and recursive framework is used to trace the relationship between IT infrastructure investments, infrastructure design, and organizational productivity along with contingencies of IT management and the environment. A major contribution of this study is the use of the systems perspective to disaggregate the concepts of IT infrastructure and productivity into collectively exhaustive types. Findings reveal that IT investments do not significant affect productivity but do so when used to develop an IT infrastructure design. IT management is seen to strongly influence IT infrastructure design. Similarly, organizational environment appears to significantly influence the type of productivity focus for a firm. The study adds to the existing body of knowledge through a holistic investigation of the multi-level relationship between IT infrastructure configurations, contingencies, and productivity

Beyond "position" and "valence". A unified framework for the analysis of political issues

Starting from a review of models of positional and valence issues, the paper – by tapping into the original definition of valence issue – introduces a classification of issues based on their level of overall, dychotomic agreement. This allows the placement of both positional and valence issues on a same continuum. A second dimension is then introduced, which identifies how much specific issues are over- or undersupported within a specific party. A visual classification of issues based on these two dimensions (the AP diagram) is then introduced, highlighting risks and opportunities for a party in campaigning on specific issues. Specific indicators (namely, issue yield) and hypotheses derived from the AP model are tested on survey data from the EU Profiler project, which collected issue profiles of Internet users from the 27 EU Countries before the EP 2009 Elections. The results show that the suggested dimensions and indicators identify a wide cross-country and cross-issue variance. Also, indicators generated by the AP model are powerful predictors of issue saliency, even subsuming traditional Downsean indicators.political issues; valence; position; party competition; European elections

Reactions to Skill Assessment: The Forgotten Factor in Explaining Motivation to Learn

This study examined the effects of trainees’ reactions to skill assessment on their motivation to learn. A model was developed that suggests that two dimensions of trainees’ assessment reactions – distributive justice and utility – influence training motivation and overall training effectiveness. The model was tested using a sample of individuals (N = 113) enrolled in a truck driving training program. Results revealed that trainees’ who perceived higher levels of distributive justice and utility had higher motivation to learn. Training motivation was found to significantly predict several measures of training effectiveness. Trainees’ performance on the pre-training assessment and trait goal orientation exhibited direct and interactive effects on their reactions to the skill assessment. Implications of these findings for future research on reactions to skill assessments are identified along with the practical implications for the design and conduct of training needs assessment

Perceptions of the leadership behavior of selected Iowa superintendents

The problem addressed in this study was ascertaining what constitutes effective leadership for the role of school superintendent in the state of Iowa. In turn, therefore, one purpose of this study was to determine in which dimensions of management effectiveness (management functions) exemplary Iowa superintendents differ from other Iowa superintendents. A second purpose was to determine if certain dimensions of management effectiveness contribute significantly to the prediction of a superintendent\u27s overall effectiveness. To accomplish these purposes, comparisons were made between a group of thirty (30) Iowa superintendents identified by their peers as being exemplary and a group of thirty (30) randomly selected Iowa superintendents;Two researcher-developed questionnaires were employed to gather data. First, demographic data were collected from each of the sixty (60) participating superintendents to build profiles of the two superintendent groups. A second instrument involved school board members, administrators, and teachers in the assessment of superintendent leadership behavior in reference to twelve (12) dimensions of management effectiveness. Through this second instrument, the following variables were examined: problem analysis, judgment, organizational ability, decisiveness, leadership, stress tolerance, sensitivity, oral communication, written communication, financial management, personal motivation, educational values, and overall effectiveness. The data gathered were subjected to the appropriate tests of significance with a .05 level of significance required for rejection;The findings revealed that a significant difference existed between the exemplary and randomly selected superintendent groups on two dimensions of management effectiveness: Written Communication and Personal Motivation. Also, four of the dimensions were found to make a significant contribution to the prediction of a superintendent\u27s overall effectiveness: Judgment, Leadership, Organizational Ability, and Stress Tolerance. ;The results of this study yielded information regarding the leadership behavior of superintendents and have contributed to the growing body of research regarding leadership and the role of school superintendent