Abstract

The new definition of the professional profile of information managers in the digital era cannot be uniformly considered, but will be determined by particular variations in each sector. The specific field of audiovisual production, defined by the ever increasing consumption of image-based digital content and a fragmented market of providers, will require a multi-skill profile that is not always compatible with the former monographic identity of information managers in some organizations. This change will not be viable without the provision of appropriate training opportunities that cover all the main new skills requested by this sector, which are identified in this paper.

Abstract

International audience; The measurement of the operators' workload is an important aspect of usage-oriented design of professional systems. In domains such as avionics, air traffic management or mission systems, being able to quantify the operators' workload under stress, and in potentially demanding physical and mental conditions, is mandatory to anticipate overload and prevent human errors. Current approaches to workload estimation rely mainly on experimentation in simulation as an approach that has proven its efficiency for the identification of bad system and/or user interface design. Even if one cannot expect to totally avoid experimenting, given the complexity of the issue of workload computation, a priori estimation of workload might be an interesting tool to pre-validate a design in order to save some time in the experimentation phase and facilitate the analysis of overload situations that appear during experimentation. Various approaches to the a priori measurement of workload have been proposed: performance-based, physiological and subjective measures. Although performance and physiological measures of workload may be more precise, subjective measures are more practical, easier and less costly to use. For these reasons, they have been applied to many complex domains. The experience, the skills and the level of training of the operator have been identified in the literature as being important human factors. Nevertheless, these parameters have not been deeply analyzed in the context of workload estimation. In this paper, we develop a predictive workload model based on the analysis of the tasks assigned to a human operator. We propose to use mental representations of tasks, human actors, human roles, knowledge and abilities. We then propose to estimate the operator's workload with reference to his experience and training, the load over time and the task complexity. Our approach is illustrated on an airborne maritime surveillance use-case, in the context of the French Medusa project.

Abstract

During the last decades, high intellectual abilities have been revealed as a decisive curricular factor that evidences the need to adapt content to students' characteristics. In Spain, various autonomous communities have designed programs that, through extraordinary activities, seek to respond to this demand and provide talented students with the appropriate context for the development and strengthening of their skills. In the case of Madrid, this proposal includes private involvement of an entrepreneurial nature that has demonstrated the possible connection between the two environments when considering the labor asset, fundamentally oriented to the resolution of projects by adolescent subjects with above average cognitive capacities. This research has examined, by means of a 180º questionnaire completed by 342 subjects (comprised of parents and skilled children, teachers and classmates) in seven Madrid schools, the possibility of identifying the ‘eagerness to achieve’ competence, considering that its early distinction enables its development in educational contexts and the training of students in order to promote individuals who focus their professional work towards the completion of assigned activities. The results obtained have also made it possible to draw up a generic profile of the talented student by combining his or her own assessments and those of his or her environment, and to recognize their most highly valued inherent aptitudes as well as those least valued.