Search results for "ELICITATION"
showing 10 items of 33 documents
Calibrating Expert Assessments Using Hierarchical Gaussian Process Models
2020
Expert assessments are routinely used to inform management and other decision making. However, often these assessments contain considerable biases and uncertainties for which reason they should be calibrated if possible. Moreover, coherently combining multiple expert assessments into one estimate poses a long-standing problem in statistics since modeling expert knowledge is often difficult. Here, we present a hierarchical Bayesian model for expert calibration in a task of estimating a continuous univariate parameter. The model allows experts' biases to vary as a function of the true value of the parameter and according to the expert's background. We follow the fully Bayesian approach (the s…
Eliciting expert knowledge to inform stock status for data-limited stock assessments
2019
Data-limited fisheries are a major challenge for stock assessment analysts, as many traditional data-rich models cannot be implemented. Approaches based on stock reduction analysis offer simple ways to handle low data availability, but are particularly sensitive to assumptions on relative stock status (i.e., current biomass compared to unperturbed biomass). For the vast majority of data-limited stocks, stock status is unmeasured. The present study presents a method to elicit expert knowledge to inform stock status and a novel, user-friendly on-line application for expert elicitation. Expert opinions are compared to stock status derived from data-rich models. Here, it is evaluated how expert…
The look of writing in reading. Graphetic empathy in making and perceiving graphic traces
2021
This article presents preliminary considerations and results from a research project designed to investigate the relation between (i) gestures, (ii) graphic traces and (iii) perceptions. More specifically, the project aims to test the hypothesis that graphic traces, including handwriting, can set up graphetic empathy between writers and readers of traces across long temporal and spatial distances. Insofar as a graphic trace is lawfully related to the gesture by which it came into being, the trace itself will hold information about the gesture, which may resonate with the sensorimotor system of a perceiver as if they themselves performed the gesture. If this is in fact so, it will have impor…
Predictive distributions that mimic frequencies over a restricted subdomain
2020
A predictive distribution over a sequence of $$N+1$$ events is said to be “frequency mimicking” whenever the probability for the final event conditioned on the outcome of the first N events equals the relative frequency of successes among them. Exchangeable distributions that exhibit this feature universally are known to have several annoying concomitant properties. We motivate frequency mimicking assertions over a limited subdomain in practical problems of finite inference, and we identify their computable coherent implications. We provide some examples using reference distributions, and we introduce computational software to generate any complete specification desired. Theorems on reducti…
Potential in vitro antioxidant, anti-inflammatory, antidiabetic, and anticancer effect of arachidonic acid-elicited basil leaves
2017
Abstract The study presents the impact of elicitation of basil with 0.01 µM (AA1), 1 µM (AA2) and 100 µM (AA3) arachidonic acid on the content and bioactivity of potentially bioavailable polyphenols. Elevated levels of phenolic compounds correlated with increased biological activity were observed in the extracts from basil (control and elicited) subjected to simulated gastrointestinal digestion in comparison to chemical and standard buffer extracts. Elicitation with AA1 and AA2 resulted in an 3-fold and more than 4-fold increase in the content of potentially bioavailable rosmarinic acid, respectively. In some cases, elicitation with arachidonic acid improved the pro-health properties of the…
Performing transnational family with the affordances of mobile apps : a case study of Polish mothers living in Finland
2020
Affordances provided by digital technologies and mobile apps (WhatsApp, Skype, Messenger) help in maintaining familyhood. These mobile apps enable the creation of in-app family groups. They also afford image sharing, which is used for phatic purposes. Digital connectivity provides the illusions of togetherness and belonging, and allows for performing family in a transnational context (emotional transnationalism). However, it also generates the feelings of guilt through infrequent communication. In the auto-driven visual elicitation interviews, the study looks at family constellations and technologically mediated communication from the perspective of five Polish mothers living in Finland. Ap…
Interactive Decision Aids
2011
Decision support systems assist people in making a decision or choosing a course of action in a nonroutine situation that requires judgment (Haubl and Trifts 2000; Kasper 1996). In online webstores, vendors can easily offer highly interactive types of decision support. These co-called interactive decision aids (IDA) “help consumers in making informed purchase decisions amidst the vast availability of online product offerings” (Wang and Benbasat 2009, p. 3). However, the application of IDA is not restricted to purchase decisions. They are general enough to be of use in any kind of choice task where alternatives are known.
Aesthetic factors determining quality and comfort in childhood classroom
2016
This study analyses how school age children experience their educational environment. The objective is to collect the determining factors of aesthetic quality and comfort at school. A pluralistic methodology allows: gather both quantitative and qualitative data using photographic elicitation, and show the responses on an artistic way. Eighty-six children participate on this research; they are from 3 until 5 years old, and belong to rural and urban schools of Alicante. The results determine which places of school are more comfortable, pleasant and enjoyable in Early Childhood Education. Pupils are able to examine in a critically form their everyday educational activities and express their op…
Belief elicitation with multiple point predictions
2021
Abstract We propose a simple, incentive compatible procedure based on binarized linear scoring rules to elicit beliefs about real-valued outcomes - multiple point predictions. Simultaneously eliciting multiple point predictions with linear incentives reveals the subjective probability distribution without pre-defined intervals or probabilistic statements. We show that the approach is theoretically as robust as existing methods, while adapting flexibly to different beliefs. In a laboratory experiment, we compare our procedure to the standard approach of eliciting discrete probabilities on pre-defined intervals. We find that elicitation with multiple point predictions is faster, perceived as …
A proposal to elicit usability requirements within a model-driven development environment
2014
[EN] Nowadays there are sound Model-Driven Development (MDD) methods that deal with functional requirements, but in general, usability is not considered from the early stages of the development. Analysts that work with MDD implement usability features manually once the code has been generated. This manual implementation contradicts the MDD paradigm and it may involve much rework. This paper proposes a method to elicit usability requirements at early stages of the software development process such a way non-experts at usability can use it. The approach consists of organizing several interface design guidelines and usability guidelines in a tree structure. These guidelines are shown to the an…