| 摘要 |
Programs for computer aided career choice have existed already for at least 20 years, however they were typically either based on Sequential Elimination, which suffers from a number of problems (such as for example distortions of weights, more sensitivity to judgment errors, and having to rank-order the questions in advance), or on compensational methods, which typically suffer from other problems. On the other hand, sequential elimination has the advantage of immediate feedback at each step, so the implications of the user's decisions in filling each aspect (question) are clear to him/her immediately after filling the aspect, whereas it is much more difficult to give such immediate feedback after each step when compensation is used. Another problem, which is common to both elimination and compensation methods, is that the computer vocational guidance systems that exist today may ask the user the importance for each aspect in the user's eyes, but do not take into account also the importance or core-ness of the aspects (questions) from the point of view the vocation. The present invention tries to solve many of the above problems, takes into consideration also the core-ness of the aspects, enables receiving immediate feedback also when compensation is used, and introduces many additional improvements over the current state of the art. Although the main examples used are regarding vocational choice, the same or similar principles or at least some of these features can be used also for other multiple choice targets (potential choices) where there are multiple aspects, such as for example buying or renting a house or a car, etc.
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