Science-based interviewing: Information elicitation

Mechanisms for information elicitation

We study the computational aspects of information elicitation mechanisms in which a principal attempts to elicit the private information of other agents using a carefully selected payment scheme based on proper scoring rules. Scoring rules, like many other mechanisms set in a probabilistic environment, assume that all participating agents share some common belief about the underlying probabilit...

Information Elicitation Sans Verification

The recent advent of human computation — employing groups of non-experts to solve problems — has motivated study of a question in mechanism design: How do we elicit useful information when we are unable to verify reports? Existing methods, such as peer prediction and Bayesian truth serum, require assumptions either on the mechanism’s knowledge about the participants or on the information struct...

Interviewing Suspects in Denial: On How Different Evidence Disclosure Modes Affect the Elicitation of New Critical Information

This study examines how different evidence disclosure modes affect the elicitation of new critical information. Two modes derived from the Strategic Use of Evidence (SUE) framework were compared against an early disclosure mode (i.e., the evidence was disclosed at the outset of the interview). Participants (N = 88) performed a mock crime consisting of several actions before they were interviewe...

A FORM based Meta-Schema for Information and Knowledge Elicitation

Linguistic Tool Based Information Elicitation in Large Heterogeneous Database Networks

In this paper a logical model to facilitate pro-active elic-itation of schema information from multiple heterogeneous information sources is presented. This is achieved through high-level descriptors { constructed using the WordNet linguistic tool { whose aim is to provide a consistent, logically organized view of information across multiple discrete heterogeneous sources. The model dynamically...