ABSTRACT
This chapter considers the relationship between complexity and reliability assessment of computer-based tasks and the correlation between these vital characteristics of human performance. In contrast with computerized tasks, these tasks involve only working with computers during task performance. The chapter shows how authors determine quantitatively the probability of various members of algorithm and how the probabilistic structure of activity can be used for assessment of the reliability of the task performance. It presents the analysis of the task before innovation that includes: qualitative stage; morphological analysis; assessing reliability of task performance. The chapter demonstrates a new event tree modeling method for evaluation of the probability of successful performance and the probability of failure. The suggested method of event tree model development helps experts to determine probabilities of events with high precision. The chapter draws attention to the assessment of the economic effectiveness of the innovation under consideration.
