  Requirements engineers should strive to get a better insight into decision
making processes. During elicitation of requirements, decision making
influences how stakeholders communicate with engineers, thereby affecting the
engineers' understanding of requirements for the future information system.
Empirical studies issued from Artificial Intelligence offer an adequate
groundwork to understand how decision making is influenced by some particular
contextual factors. However, no research has gone into the validation of such
empirical studies in the process of collecting needs of the future system's
users. As an answer, the paper empirically studies factors, initially
identified by AI literature, that influence decision making and communication
during requirements elicitation. We argue that the context's structure of the
decision should be considered as a cornerstone to adequately study how
stakeholders decide to communicate or not a requirement. The paper proposes a
context framework to categorize former factors into specific families, and
support the engineers during the elicitation process.
