Name of the participant: Christina Di Valentin
Description of the IT-research project: Employees rarely have the same prior knowledge and know-how. The preference for using software applications is also characterized by great diversity. Consequently, each employee requires different information and possibly different support when working on tasks. At the same time, the trend towards context-sensitive working (“context aware computing”) has become increasingly apparent in recent years. If, for example, new software is introduced within a company, it takes a certain amount of time before this is accepted by the employees. Although training and further education is offered in most cases after the introduction of the new business software, the knowledge acquired in the training is quickly forgotten if employees do not deal with concrete problems. Often standards are also used in companies to handle specific tasks, which are usually not adapted to the current level of knowledge of employees. Although knowledge plays an increasingly important role, especially in a company-specific context, on average only about 30% of the knowledge available within a company is actually used. Consequently, it is important for both employees and the company to provide knowledge that is adapted to the current situation in the work process. Employees thereby achieve a significant facilitation and time saving in their task processing, which for companies is accompanied by a reduced error rate as well as an increased contribution to value creation and cost reductions.
The goal of SCORE is the prototypical development of a software solution that recognizes the current working context of employees and can respond to questions or problems that arise, taking into account both the current context of employees and their profile data. For this purpose, information in the sense of best practices is displayed to employees to support them in the course of processing a specific task within a work process step. The profile data that is used in the recommendation functions can be entered by the employee himself or herself in the solution to be developed (“explicit profile data”). In addition, profile data is continuously enriched by interactions that employees perform within the software (“implicit profile data”).
Software Campus partners: DFKI, Scheer Group GmbH
Implementation period:01.05.2013 – 30.04.2015
