Elicitation is the study of statistics or properties which are computable via empirical risk minimization. While several recent papers have approached the general question of which properties are elicitable, we suggest that this is the wrong question—all properties are elicitable by first eliciting the entire distribution or data set, and thus the important question is how elicitable. Specifica...

In decision modeling with influence diagrams, the most challenging task is probability elicitation from domain experts. It is usually very difficult for experts to directly assign precise probabilities to chance nodes. In this paper, we propose an approach to elicit probability effectively by using the concept of interval probability (IP). During the elicitation process, a group of experts assi...

Despite the importance of capturing a precise and complete set of requirements in the requirements engineering stage, there are few tools that adequately support requirements analysis in the process of capturing quality related requirements (non-functional requirements). This paper presents ElicitO, a requirements elicitation tool aimed at empowering requirements analysts with a knowledge repos...

We examine the robustness of the fourfold pattern of risk attitudes under two elicitation procedures. We find that individuals are, on average, risk-seeking over low-probability gains and high-probability losses and risk-averse over high-probability gains and low-probability losses when we elicit prices for the gambles. However, a choice-based elicitation procedure, where participants choose be...

One of the key advantages of the Bayesian paradigm is the ability to incorporate past experiences and expert opinion into statistical analyses. However, the principled, precise distillation of expert opinion into a probability distribution, a task known as prior elicitation, is challenging and involves considerations from psychology, computational science, software engineering, and other relate...

Various co-operative tutoring systems have been recently proposed as a continuation of intelligent tutoring systems. They encourage learning as a jointly constructed knowledge rather than a transfer of expertise from the teacher to the learner. These environments can be strengthened using elicitation techniques which encourage the acquisition process from a learner point of view. In this articl...

Due to the specific challenges that ICT4D projects present, conventional requirements elicitation techniques are often inapplicable or insufficient. We address this shortcoming by introducing structured digital storytelling (SDS) as an alternative elicitation technique especially suited for the ICD4D domain. SDS is supported by our mobile elicitation tool designed around the needs and capabilit...

The principal task of requirements engineering is the definition of requirements that reflects the understanding of the problem. In this process different approaches for information elicitation may be used. In our case we show that the application of elicitation strategies in the right form can improve the evolution of an existing artifact. In this paper we show the evolution of an education ga...

In Carenini et al., 1995] we present an information based Bayesian strategy for history-taking, aimed at optimizing the evidence-gathering process. We have applied this strategy to a history-taking module developed as part of a system for patient education in the clinical domain of chronic non-organic headaches. The weakest phase in the development of our prototype application was the knowledge...

This paper introduces Boas, a semi-automatic knowledge elicitation system that guides a team of two people through the process of developing the static knowledge sources for a moderate-quality, broad-coverage MT system from any "low-density" language into English in about six months. The paper focuses on the issues in the elicitation of descriptive knowledge in Boas—the grammatical and lexical ...