| Records |
Author  |
Chaigneau, S.E.; Canessa, E.; Lenci, A.; Devereux, B. |
| Title |
Eliciting semantic properties: methods and applications |
Type |
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| Year |
2020 |
Publication |
Cognitive Processing |
Abbreviated Journal |
Cogn. Process. |
| Volume |
21 |
Issue |
4 |
Pages |
583-586 |
| Keywords |
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| Abstract |
Asking subjects to list semantic properties for concepts is essential for predicting performance in several linguistic and non-linguistic tasks and for creating carefully controlled stimuli for experiments. The property elicitation task and the ensuing norms are widely used across the field, to investigate the organization of semantic memory and design computational models thereof. The contributions of the current Special Topic discuss several core issues concerning how semantic property norms are constructed and how they may be used for research aiming at understanding cognitive processing. |
| Address |
[Chaigneau, Sergio E.; Canessa, Enrique] Univ Adolfo Ibanez, Ctr Cognit Res CINCO, Avda Presidente Errazuriz, Santiago 3328, Chile, Email: sergio.chaigneau@uai.cl |
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| Publisher |
Springer Heidelberg |
Place of Publication |
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| Language |
English |
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| ISSN |
1612-4782 |
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| Notes |
WOS:000577853600001 |
Approved |
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| Call Number |
UAI @ alexi.delcanto @ |
Serial |
1233 |
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| Author |
Chaigneau, S.E.; Marchant, N.; Canessa, E.; Aldunate, N. |
| Title |
A mathematical model of semantic access in lexical and semantic decisions |
Type |
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| Year |
2024 |
Publication |
Language and Cognition |
Abbreviated Journal |
Lang. Cogn. |
| Volume |
Early Access |
Issue |
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Pages |
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| Keywords |
lexical decision task; mathematical modeling; property listing; semantic access; semantic decision task |
| Abstract |
In this work, we use a mathematical model of the property listing task dynamics and test its ability to predict processing time in semantic and lexical decision tasks. The study aims at exploring the temporal dynamics of semantic access in these tasks and showing that the mathematical model captures essential aspects of semantic access, beyond the original task for which it was developed. In two studies using the semantic and lexical decision tasks, we used the mathematical model's coefficients to predict reaction times. Results showed that the model was able to predict processing time in both tasks, accounting for an independent portion of the total variance, relative to variance predicted by traditional psycholinguistic variables (i.e., frequency, familiarity, concreteness imageability). Overall, this study provides evidence of the mathematical model's validity and generality, and offers insights regarding the characterization of concrete and abstract words. |
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| ISSN |
1866-9808 |
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| Notes |
WOS:001200317200001 |
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| Call Number |
UAI @ alexi.delcanto @ |
Serial |
1964 |
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| Author |
Chaigneau, S.E.; Puebla, G.; Canessa, E.C. |
| Title |
Why the designer's intended function is central for proper function assignment and artifact conceptualization: Essentialist and normative accounts |
Type |
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| Year |
2016 |
Publication |
Developmental Review |
Abbreviated Journal |
Dev. Rev. |
| Volume |
41 |
Issue |
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Pages |
38-50 |
| Keywords |
Artifacts; Function; Design; Essentialism; Ownership |
| Abstract |
People tend to think that the function intended by an artifact's designer is its real or proper function. Relatedly, people tend to classify artifacts according to their designer's intended function (DIF), as opposed to an alternative opportunistic function. This centrality of DIF has been shown in children from 6 years of age to adults, and it is not restricted to Western societies. We review four different explanations for the centrality of DIF, integrating developmental and adult data. Two of these explanations are essentialist accounts (causal and intentional essentialism). Two of them are normative accounts (conventional function and idea ownership). Though essentialist accounts have been very influential, we review evidence that shows their limitations. Normative accounts have been less predominant. We review evidence to support them, and discuss how they account for the data. In particular, we review evidence suggesting that the centrality of DIF can be explained as a case of idea ownership. This theory makes sense of a great deal of the existing data on the subject, reconciles contradictory results, links this line of work to other literatures, and offers an account of the observed developmental trend. (C) 2016 Elsevier Inc. All rights reserved. |
| Address |
[Chaigneau, Sergio E.] Adolfo Ibanez Univ, Sch Psychol, Ctr Social & Cognit Neurosci, Ctr Cognit Res, Santiago, Region Metropol, Chile, Email: sergio.chaigneau@uai.cl |
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| Publisher |
Academic Press Inc Elsevier Science |
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English |
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| ISSN |
0273-2297 |
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Conference |
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| Notes |
WOS:000381845200002 |
Approved |
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| Call Number |
UAI @ eduardo.moreno @ |
Serial |
648 |
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| Author |
Lagos, R.; Canessa, E.; Chaigneau, S.E. |
| Title |
Modeling stereotypes and negative self-stereotypes as a function of interactions among groups with power asymmetries |
Type |
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| Year |
2019 |
Publication |
Journal For The Theory Of Social Behaviour |
Abbreviated Journal |
J. Theory Soc. Behav. |
| Volume |
49 |
Issue |
3 |
Pages |
312-333 |
| Keywords |
negative self-; stereotypes; agent based simulation; social power; stereotypes |
| Abstract |
Stereotypes is one of the most researched topics in social psychology. Within this context, negative self-stereotypes pose a particular challenge for theories. In the current work, we propose a model that suggests that negative self-stereotypes can theoretically be accounted for by the need to communicate in a social system made up by groups with unequal power. Because our theory is dynamic, probabilistic, and interactionist, we use a computational simulation technique to show that the proposed model is able to reproduce the phenomenon of interest, to provide novel accounts of related phenomena, and to suggest novel empirical predictions. We describe our computational model, our variables' dynamic behavior and interactions, and link our analyses to the literature on stereotypes and self-stereotypes, the stability of stereotypes (in particular, gender and racial stereotypes), the effects of power asymmetries, and the effects of intergroup contact. |
| Address |
[Lagos, Rodrigo] Univ Chile, Programa Magister Bioestadist, Santiago, Chile, Email: sergio.chaigneau@uai.cl |
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| Publisher |
Wiley |
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English |
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| ISSN |
0021-8308 |
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Conference |
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| Notes |
WOS:000483671300004 |
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| Call Number |
UAI @ eduardo.moreno @ |
Serial |
1049 |
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| Author |
Marchant, N.; Canessa, E.; Chaigneau, S.E. |
| Title |
Challenges from Probabilistic Learning for Models of Brain and Behavior |
Type |
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| Year |
2023 |
Publication |
Trends and Challenges in Cognitive Modeling |
Abbreviated Journal |
Trends and Challenges in Cognitive Modeling |
| Volume |
Early Access |
Issue |
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Pages |
73-84 |
| Keywords |
Probabilistic learning; Category learning; Feedback Decision-making; Cognitive models |
| Abstract |
Probabilistic learning is a research program that aims to understand how animals and humans learn and adapt their behavior in situations where the pairing between cues and outcomes is not always completely reliable. This chapter provides an overview of the challenges of probabilistic learning for models of the brain and behavior. We discuss the historical background of probabilistic learning, its theoretical foundations, and its applications in various fields such as psychology, neuroscience, and artificial intelligence. We also review some key findings from experimental studies on probabilistic learning, including the role of feedback, attention, memory, and decision-making processes. Finally, we highlight some of the current debates and future directions in this field. |
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978-3-031-41861-7 |
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UAI @ alexi.delcanto @ |
Serial |
1914 |
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| Author |
Marchant, N.; Canessa, E.; Chaigneau, S.E. |
| Title |
An adaptive linear filter model of procedural category learning |
Type |
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| Year |
2022 |
Publication |
Cognitive Processing |
Abbreviated Journal |
Cogn. Process. |
| Volume |
23 |
Issue |
3 |
Pages |
393-405 |
| Keywords |
Category learning; Procedural categorization; Adaptive filter; Mathematical modeling |
| Abstract |
We use a feature-based association model to fit grouped and individual level category learning and transfer data. The model assumes that people use corrective feedback to learn individual feature to categorization-criterion correlations and combine those correlations additively to produce classifications. The model is an Adaptive Linear Filter (ALF) with logistic output function and Least Mean Squares learning algorithm. Categorization probabilities are computed by a logistic function. Our data span over 31 published data sets. Both at grouped and individual level analysis levels, the model performs remarkably well, accounting for large amounts of available variances. When fitted to grouped data, it outperforms alternative models. When fitted to individual level data, it is able to capture learning and transfer performance with high explained variances. Notably, the model achieves its fits with a very minimal number of free parameters. We discuss the ALF's advantages as a model of procedural categorization, in terms of its simplicity, its ability to capture empirical trends and its ability to solve challenges to other associative models. In particular, we discuss why the model is not equivalent to a prototype model, as previously thought. |
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1612-4782 |
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| Notes |
WOS:000791062800001 |
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UAI @ alexi.delcanto @ |
Serial |
1567 |
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| Author |
Prieto, P.; Bride, J.C.; Beghelli, A.; Canessa, E.; Barra, C. |
| Title |
I like it elegant: imprinting personalities into product shapes |
Type |
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| Year |
2020 |
Publication |
International Journal of Design Creativity and Innovation |
Abbreviated Journal |
Int. J. Des. Creativity Innov. |
| Volume |
8 |
Issue |
1 |
Pages |
5-20 |
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2165-0349 |
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Approved |
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UAI @ eduardo.moreno @ |
Serial |
1307 |
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| Author |
Prieto, P.; Briede, J.C.; Beghelli, A.; Canessa, E.; Barra, C. |
| Title |
I like it elegant: imprinting personalities into product shapes |
Type |
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| Year |
2020 |
Publication |
International Journal Of Design Creativity And Innovation |
Abbreviated Journal |
Int. J. Des. Creat. Innov. |
| Volume |
8 |
Issue |
1 |
Pages |
5-20 |
| Keywords |
Design methodology; concept generation; inspiration |
| Abstract |
The ability of designing personality-based products is key for their successful launch in the market, since customers prefer products that have a similar personality to their own. However, the creative process designers use to imprint a given personality into a product is still a ?black-box? and lengthy process that requires expertise and successive customer validation. The research challenge here is how to systematize the creative process of defining new geometries of a product with an intended personality. Due to the complexity of this challenge, the focus of this paper is solely about the process of defining the shape of a product with a given personality. A 5-step systematic method to extract and define the key form aspects of a specific personality is defined to do this. The use of the method is exemplified by developing a shape which is representative of an elegant personality and its suitability is tested using questionnaires answered by both design and non-design trained people. Results show that customers better recognize the personality imprinted on the object when the steps of the proposed method are fully complied with. This work will assist designers with the creative process of product form definition. |
| Address |
[Prieto, Pablo; Briede, Juan C.] Univ Tecn Federico Santa Maria, Engn Design Dept, Valparaiso, Chile, Email: pablo.prieto@usm.cl |
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| Publisher |
Taylor & Francis Ltd |
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English |
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2165-0349 |
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| Area |
ESCI |
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| Notes |
WOS:000492377800001 |
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| Call Number |
UAI @ eduardo.moreno @ |
Serial |
1059 |
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| Author |
Ramos, D.; Moreno, S.; Canessa, E.; Chaigneau, S.E.; Marchant, N. |
| Title |
AC-PLT: An algorithm for computer-assisted coding of semantic property listing data |
Type |
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| Year |
2023 |
Publication |
Behavior Research Methods |
Abbreviated Journal |
Behav. Res. Methods |
| Volume |
Early Access |
Issue |
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Pages |
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| Keywords |
Machine learning framework; Property listing task; Assisted codification; Coding reliability |
| Abstract |
In this paper, we present a novel algorithm that uses machine learning and natural language processing techniques to facilitate the coding of feature listing data. Feature listing is a method in which participants are asked to provide a list of features that are typically true of a given concept or word. This method is commonly used in research studies to gain insights into people's understanding of various concepts. The standard procedure for extracting meaning from feature listings is to manually code the data, which can be time-consuming and prone to errors, leading to reliability concerns. Our algorithm aims at addressing these challenges by automatically assigning human-created codes to feature listing data that achieve a quantitatively good agreement with human coders. Our preliminary results suggest that our algorithm has the potential to improve the efficiency and accuracy of content analysis of feature listing data. Additionally, this tool is an important step toward developing a fully automated coding algorithm, which we are currently preliminarily devising. |
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| ISSN |
1554-351X |
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| Notes |
WOS:001082637900001 |
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UAI @ alexi.delcanto @ |
Serial |
1892 |
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| Author |
Yushimito, W.F.; Alves, P.N.; Canessa, E.; de Mateo, F. |
| Title |
Relating Efficiency With Service Compliance Indices In Public Transportation Using Slack-Based Measure Data Envelopment Analysis And Shadow Prices |
Type |
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| Year |
2018 |
Publication |
Promet-Traffic & Transportation |
Abbreviated Journal |
Promet |
| Volume |
30 |
Issue |
6 |
Pages |
661-670 |
| Keywords |
bus service efficiency; public transportation; bus service compliance indices; slack-based data envelopment analysis; shadow prices |
| Abstract |
In many countries, bus operators are private companies whose service has been leased by government agencies. These agencies develop service compliance indices or measures to keep track of factors such as passenger satisfaction, frequency, and regularity but do not necessarily include the objectives of the operators in the assessment. In this paper, we used slack-based measure data envelopment analysis (SBM) to investigate whether it is possible for a bus operator to be efficient (from a private perspective) and match required standards of frequency and regularity. In doing so, data collected from two major bus operators in Santiago, Chile has been used comprising 99 services. The results show that when private objectives, namely revenues, are included in the analysis, bus operators do not necessarily seek to improve the regularity of their service. Moreover, it was found that some bus services are on the efficient frontier while keeping low performance measure standards. Using the shadow prices of the models, it was also found that improving the performance measures will be hard for many bus services unless there is a significant change in factors that are not under control of the operators (i.e., number of stops, length of the route, etc.). This shows the difficulty of correctly aligning the private objectives of operators with agencies' objectives. |
| Address |
[Yushimito, Wilfredo F.; Canessa, Enrique] Adolfo Ibanez Univ, Dept Engn & Sci, Av Padre Hurtado 750, Vina Del Mar, Chile, Email: wilfredo.yushimito@uai.cl; |
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Svenciliste U Zagrebu, Fakultet Prometnih Znanosti |
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English |
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0353-5320 |
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| Notes |
WOS:000457183100002 |
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| Call Number |
UAI @ eduardo.moreno @ |
Serial |
976 |
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