Allergic contact dermatitis (ACD) is one of the most common inflammatory skin diseases, which is classified as a delayed-type hypersensitivity immune response. The development of ACD is divided into two phases: sensitization and elicitation. In the sensitization phase, antigen-specific effector T cells are induced in the draining lymph nodes by antigen-captured cutaneous dendritic cells (DCs) t...

During the stage of system requirements gathering, model elicitation is aimed at identifying in textual scenarios model elements that are relevant for building a first version of models that will be further exploited in a model-driven engineering method. When multiple elements should be identified from multiple interrelated conceptual models, the complexity increases. Three method levels are su...

This paper presents a case study analyzing a set of software engineering elicitation techniques. The aim of the case study is to demonstrate that completeness and preciseness are two criteria to be incorporated into the set of existing parameters used to classify and select which elicitation technique to apply depending on the project context variables. Completeness refers to how well each elic...

BACKGROUND Elicitation, which is a way of inducing plant secondary metabolism, may be an effective method for improving the quality of plant food. The aim of this study was to determine how the application of jasmonic acid (as an abiotic elicitor) and yeast extract (as a biotic elicitor) influences the production of some bioactive compounds in marjoram and the antioxidant activity of this herb....

We present a novel approach for practically tackling uncertainty in preference elicitation and predictive modeling to support complex multi-criteria decisions based on multi-attribute utility theory (MAUT). A simplified two-step elicitation procedure consisting of an online survey and face-to-face interviews is followed by an extensive uncertainty analysis. This covers uncertainty of the prefer...

Classic direct mechanisms suffer from the drawback of requiring full type (or utility function) revelation from participating agents. In complex settings with multi-attribute utility, assessing utility functions can be very difficult, a problem addressed by recent work on preference elicitation. In this work we propose a framework for incremental, partial revelation mechanisms and study the use...

Fuzzy constraints are a popular approach to handle preferences and over-constrained problems in scenarios where one needs to be cautious, such as in medical or space applications. We consider here fuzzy constraint problems where some of the preferences may be missing. This models, for example, settings where agents are distributed and have privacy issues, or where there is an ongoing preference...

Peference elicitation is the task of suggesting a highly preferred configuration to a decision maker. The preferences are typically learned by querying the user for choice feedback over pairs or sets of objects. In its constructive variant, new objects are synthesized “from scratch” by maximizing an estimate of the user utility over a combinatorial (possibly infinite) space of candidates. In th...

Requirements elicitation is a key and critical activity for software/system development success. Several methods and techniques have been developed and used for requirements elicitation. Prior research referred to many problems and shortfalls with existing group-based methods (e.g., brainstorming, focus groups, and joint application development [JAD]). This paper provides a new approach for req...