Relevant bibliographies by topics / Best–worst scaling (BWS)

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Best–worst scaling (BWS)'

Author: Grafiati
Published: 31 May 2025
Last updated: 22 June 2025

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Journal articles on the topic "Best–worst scaling (BWS)"

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Oláh, Bertold. "best-worst scaling használata marketingkutatásban." International Journal of Engineering and Management Sciences 7, no. 2 (2022): 140–51. http://dx.doi.org/10.21791/ijems.2022.2.11.

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Absztrakt. A legjobb-rosszabb skálázás (BWS) az adatgyűjtés egyik módszere és/vagy annak elmélete, hogy a válaszadók miként adják meg a lista első és legrosszabb rangsorolását. Cikkemben azt vizsgálom meg, hogy mi az a best-worst scaling (BWS), milyen területeken használják előszeretettel, illetve mi maga a módszer. Ezután rátérek a BWS metódusára, ezen belül is megvizsgálom elemét: a BWS objektum esetet (1. eset), a BWS profil esetet (2. eset) és BWS többprofil esetet (3. eset). Részletezem a BWS használatát a marketingkutatásban, ezután pedig összehasonlítom a Likert-skálás módszert és a BWS-t. Konklúzióimat cikkem végén összegzem.
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Areal, Francisco J., and Rubén Perez. "Incorporating preference uncertainty in best worst scaling." PLOS ONE 20, no. 1 (2025): e0315705. https://doi.org/10.1371/journal.pone.0315705.

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In this paper, we enhance the Best-Worst Scaling (BWS) method by incorporating participants’ preference uncertainty into the conventional BWS, known as case 1. In this context, respondents are tasked with making trade-offs among a set of items of interest. Applying this novel extended BWS method to a sample of Argentinian wine consumers (n = 342), we aim to a) provide a more informative elicitation of consumers’ relative preferences for 16 wine attributes; b) identify the level of uncertainty with each of the attributes, exploring differences between the most and least important wine attributes influencing purchasing wine; and c) compare the results of the extended BWS with the standard BWS. Our findings indicate variability in uncertainty levels on the importance of wine attributes when purchasing wine within and across attributes. Moreover, accounting for participants’ preference uncertainty can alter the ranking of preferences obtained through the standard approach. This alteration is due to both accounting for preference uncertainty itself as well as the uncertainty indicator used. Although this approach is a way to mitigate biases associated with respondents’ preference certainty, it is recommended that preference uncertainty heterogeneity is investigated using different indicators.
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Rosi, Victor, Aliette Ravillion, Olivier Houix, and Patrick Susini. "Best-worst scaling, an alternative method to assess perceptual sound qualities." JASA Express Letters 2, no. 6 (2022): 064404. http://dx.doi.org/10.1121/10.0011752.

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When designing sound evaluation experiments, researchers rely on listening test methods, such as rating scales (RS). This work aims to investigate the suitability of best-worst scaling (BWS) for the perceptual evaluation of sound qualities. To do so, 20 participants rated the “brightness” of a corpus of instrumental sounds (N = 100) with RS and BWS methods. The results show that BWS procedure is the fastest and that RS and BWS are equivalent in terms of performance. Interestingly, participants preferred BWS over RS. Therefore, BWS is an alternative method that reliably measures perceptual sound qualities and could be used in many-sounds paradigm.
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Han, Kyung-Eun, and Kyu-Wan Choi. "The Study of Wine-Selecting Attributes using BWS Method." Journal of Tourism Enhancement 9, no. 4 (2021): 291–311. http://dx.doi.org/10.35498/kotes.2021.9.4.291.

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Bărbulescu, Marinică, and Alexandru Cernat. "The Impact of Pictures on Best-Worst Scaling in Web Surveys." International Review of Social Research 2, no. 3 (2012): 79–93. http://dx.doi.org/10.1515/irsr-2012-0028.

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Abstract: Motivation and burden are two of the most important aspects that influence response rates and dropouts in online surveys. As a result, we focus our analyses on how pictures and Best Worst Scaling (BWS), two solutions for each problem, interact in the Web medium. We use an experimental design that compares a BWS with pictures, the experimental group, and BWS without pictures, the control group. Results show that pictures influence measurement of BWS in six out of 16 items. We also observe that Couper's (2001) conclusion that concordant text and images have an accentuation effect while a discordant relationship between the two has an interference impact is partly true in our data. Eight out of the 16 items are at least partially influenced by the concordant/discordant variable while four fully respect this model. We conclude by discussing the impact of our findings and its limitations.
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Czine, Péter, Gergely Balogh, Bence Tibor Horváth, and László Huzsvai. "A Best–Worst Scaling preferenciaértékelő eljárás „object” esetének bemutatása." Statisztikai Szemle 100, no. 10 (2022): 923–48. http://dx.doi.org/10.20311/stat2022.10.hu0923.

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A fogyasztói preferenciák vizsgálatához alkalmazott eljárás megválasztása még manapság is rendkívül nehéz döntést képvisel a kutatásokban. A feltárt preferencia (SP) jellegű adatokon alapuló módszerek használatakor a kutatók elsődleges célja az, hogy minél eredményesebben tudják csökkentetni a hipotetikus kontextus okozta torzító hatást, mindemellett egyre több információhoz jussanak a felmérés résztvevőivel kapcsolatosan. A tanulmányban a nemzetközi színtéren Best–Worst Scalingként (BWS) ismertté vált preferenciaértékelő eljárás „object” esetét mutatjuk be, ami több előnyös tulajdonsággal rendelkezik más hasonló módszerekhez képest. Az első részben a BWS elméleti hátterét és kísérleti elrendezésének megvalósítási lépéseit ismertetjük, majd a szükséges adatbázis-formátumot fogjuk bemutatni. Ezt követően szimulációval előállított adatok segítségével az elemzés „számításos” megközelítésének lépéseit vezetjük végig, ábrákkal és értelmezésekkel kiegészítve, a tanulmány legvégén pedig limitált kitekintést nyújtunk a „modellezési” megközelítésre. Tanulmányunk segítségével az olvasónak lehetősége nyílik egy több területen is viszonylag könnyen alkalmazható preferenciaértékelő eljárás megismerésére és elsajátítására.
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Jennifer, Yu. "An Analysis of Key Attributes of Upcycled Food using a Best-Worst Scaling Approach." GLOBAL BUSINESS FINANCE REVIEW 28, no. 5 (2023): 1–12. http://dx.doi.org/10.17549/gbfr.2023.28.5.1.

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Purpose: The purpose of this study is to identify priorities by evaluating the significance of attributes consumers consider when selecting upcycled food.
 Design/methodology/approach: Based on a sample survey of 280 participants, a total of nine upcycled food attrib-utes were derived and a total of 12 sets were proposed. By using a Best-Worst Scaling (BWS), the relative im-portance of a set of attributes was evaluated.
 Findings: Among the nine upcycled food selection attributes derived based on previous studies, food safety was the most important attribute, followed by sensory appeal, nutritional value, origin and environmental information. In contrast, brand, cost-effectiveness, convenience and familiarity appeared to be attributes of relatively low sig-nificance in selecting upcycled food.
 Research limitations/implications: The results of the study investigated the attributes affecting consumer purchase decisions in the emerging upcycled food market strengthened strategy establishment and improvement, and proposed ways to increase competitiveness.
 Originality/value: This study has academic significance in that it identified upcycled food selection attributes based on the quantitative analysis methodology rather than common perception. It is differentiated from previous studies in that it derives preferences for purchasing determinants through BWS and presents how much more important certain attributes are than other attributes, so the size of relative importance can be quantitatively compared.
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Gallego, Gisselle, John F. P. Bridges, Terry Flynn, Barri M. Blauvelt, and Louis W. Niessen. "USING BEST-WORST SCALING IN HORIZON SCANNING FOR HEPATOCELLULAR CARCINOMA TECHNOLOGIES." International Journal of Technology Assessment in Health Care 28, no. 3 (2012): 339–46. http://dx.doi.org/10.1017/s026646231200027x.

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Objectives: There is a growing need for efficient procedures for identification of emerging technologies by horizon scanning systems. We demonstrate the value of best-worst scaling (BWS) in exploring clinicians’ views on emerging technologies that will impact outcomes in hepatocellular carcinoma (HCC) in the next 5 to 10 years.Methods: Clinicians in Asia, Europe, and the United States were surveyed and their views about eleven emerging technologies relevant to HCC were explored using BWS (case 1). This involved systematically presenting respondents with subsets of five technologies and asking them to identify those that will have the most and least impact on HCC within 5 to 10 years. Statistical analysis was based on sequential best-worst and analyzed using conditional logistic regression.Results: A total of 120 clinicians uniformly distributed across ten countries completed the survey (37 percent response rate). Respondents were predominately hepatologist (41 percent) who focused on HCC (65 percent) and had national influence in this field (39 percent). Respondents viewed molecular targeted therapy (p < .001) and early detection of HCC (p < .001) as having most potential, while improved surgical techniques (p < .001) and biopsy free HCC diagnostics (p < .001) were viewed upon negatively.Conclusions: We demonstrate that BWS could be an important research tool to facilitate horizon scanning and HTA more broadly. Our research demonstrates the value of including clinicians’ preferences as a source of data in horizon scanning, but such methods could be used to incorporate the opinions of a broad array of stakeholders, including those in advocacy and public policy.
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Jeong, Gicheol. "Korean public preferences for healthcare policy priority setting using best-worst scaling." Innovation studies 17, no. 1 (2022): 105–22. http://dx.doi.org/10.46251/innos.2022.2.17.1.105.

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Pascoe, Michael, Owen Wright, and Hume Winzar. "Using best-worst scaling to reveal perceived relative importance of website attributes." Asia Pacific Journal of Marketing and Logistics 29, no. 2 (2017): 393–408. http://dx.doi.org/10.1108/apjml-08-2015-0130.

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Purpose The purpose of this paper is to review and extend previous work involving branding and website performance and aesthetics by applying a best-worst scaling (BWS) approach. Respondents were tasked with choosing the best and worst from 16-brand attribute statements representing website communications and aesthetics, a more effective understanding of consumer segmentation is revealed between the offline facility to the online retail experience. Design/methodology/approach A research design utilising BWS was deployed to provide an alternate perspective of consumer choice in an omni-channel retail environment. Findings Findings indicate a bifurcated audience with one-half reliant on communication and the other half on aesthetics is most important in the online environment when generating a positive relationship towards the retail brand. Research limitations/implications This study was conducted within a single retail format category (sportswear and apparel) so future studies need to estimate cross-category implications. The authors also suggest online experimental designs for consumers to compare traditional retail brand images. Finally as this study utilised Australian responses only the authors suggest cross-cultural comparisons to better understand the universal nature of website functionality and its link with traditional retail formats. Practical implications Retail executives will find the results from this study useful in two ways. To ensure consistency of brand image across channels managers must communicate efficiently and effectively. Brand managers must mediate between customer segments with some preferring clear concise website communications and others well established aesthetics. Originality/value This study adopts a BWS approach to better understand consumer choices in an online/offline branding environment.
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Dissertations / Theses on the topic "Best–worst scaling (BWS)"

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Duroyon, Matthieu. "De l’étude du confort sonore de l’habitacle du véhicule électrique à son amélioration par l’acoustique augmentée." Electronic Thesis or Diss., Compiègne, 2025. http://www.theses.fr/2025COMP2868.

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Les progrès récents de l’insonorisation des habitacles dans l’automobile ainsi que l’avènement de la motorisation électrique, silencieuse, ont durablement transformé l’expérience sonore de l’utilisateur et remettent en question les acquis du confort, et notamment du confort sonore. Cette thèse a pour objectif d’explorer le confort sonore dans cet environnement. Pour cela un travail de littérature scientifique permet de clarifier et définir cette notion de confort sonore, et de mettre en évidence les outils adaptés pour traiter et identifier l’émergence de sources sonores, auparavant masquées ou inexistantes tout en prenant en compte la place particulière du son dans un milieu comme l’automobile. Cette thèse se structure en trois parties distinctes et complémentaires. La première aborde le point de la description de l’environnement sonore à travers un travail d’interviews avec des spécialistes automobiles du son, sur les descripteurs du son. Ce travail aboutit à la construction d’un lexique en suivant un paradigme élaboré au sein de l’équipe PDS (Perception et Design Sonores), le paradigme SpeaK [1, 2]. La deuxième partie de la thèse s’attelle à améliorer le confort sonore d’une situation sonore précise, comportant un son décrit comme désagréable ou gênant. La solution explorée consiste à ajouter des sons conçus suivant différentes typologies de masquage, appelées masquage énergétique, masquage par habillage et masquage attentionnel. Parmi ces différentes typologies, des masques sont alors créés grâce à un synthétiseur paramétrique développé spécifiquement pour cette tâche. Une étude perceptive en atmosphère contrôlée, utilisant une méthodologie Best-Worst Scaling est alors menée. Cette étude, menée avec 50 participants, permet de quantifier les différences entre ces typologies sur deux dimensions évaluées : la détectabilité du défaut et l’agréabilité de l’environnement sonore [3]. À l’issue de cette étude, une perspective d’expérience in-situ pour confronter les résultats, ainsi que la mise en lumière de limites et d’améliorations possibles de la méthode expérimentale sont proposées<br>Recent advances in cabin soundproofing in automobiles, along with the generalization of electric motors, silent, have profoundly transformed the user’s auditory experience and challenged established notions of comfort, particularly sonic comfort. This thesis aims to explore the concept of sonic comfort in this context. To achieve this, a review of the scientific literature is conducted to clarify and define this notion of sonic comfort. This also enables to identify the tools suited to analyze and detect the emergence of sound sources that were previously masked or nonexistent, while considering the unique role of sound in the automotive environment. This thesis is structured into three distinct and complementary parts. The first part addresses the description of the sound environment through a series of interviews with sound automotive specialists, focusing on sound descriptors. This work results in the development of a lexicon based on a paradigm designed within the PDS (Perception et Design Sonores) team, known as the SpeaK paradigm [1, 2]. The second part of the thesis focuses on improving the sonic comfort of a specific situation characterized by a sound described as unpleasant or bothersome. The proposed solution involves adding sounds designed according to different masking typologies, referred to as Energetic, Habillage, and Attentional masking. Among these typologies, masks are created using a parametric synthesizer developed specifically for this purpose. A perceptual study in a controlled environment, employing a Best-Worst Scaling methodology, is then conducted. This study, carried out with 50 participants, quantifies the differences between these methodologies across two evaluated dimensions : defect detectability and scene pleasantness [3]. Following this study, a perspective for in situ experiments to validate the results, as well as insights into the limitations and possible improvements of the experimental method, are proposed
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Irlam, James Hamilton. "Barriers to cycling mobility in Masiphumelele, Cape Town: a best-worst scaling approach." Master's thesis, University of Cape Town, 2016. http://hdl.handle.net/11427/20833.

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Non-motorised transport (NMT) such as cycling and walking has multiple social, economic, environmental, climate and public health benefits and is integral to the agenda of sustainable development. There is considerable potential for more cycling mobility in South Africa, especially in low-income communities (LICs). Barriers to cycling mobility were investigated in Masiphumelele, a LIC in Cape Town, in order to inform recommendations for promoting cycling as a mode of transport in this community and beyond. A mixed methods design of qualitative and quantitative methods was used. A focus group discussion (FGD) with local bicycle shop customers informed the design of a cross-sectional cluster sampling questionnaire and a Best-Worst Scaling (BWS) stated choice survey of 100 household residents. The BWS survey used 10 choice sets of 4statements each to rank the relative importance to study participants of 20 potential barriers to cycling mobility on their average Best-Worse (B-W) scores.
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Echaniz, Eneko, Chinh Q. Ho, Andres Rodriguez, and Luigi dell'Olio. "Comparing best-worst and ordered logit approaches for user satisfaction in transit services." Elsevier, 2019. https://publish.fid-move.qucosa.de/id/qucosa%3A73228.

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Customer overall satisfaction towards a public transport system depends mainly on two factors: how satisfied they are with different aspects that make up the service and how important each of the service aspects is to the customer. Traditionally, researchers use revealed preference surveys and ordered probit/logit models to estimate the contribution of each service attribute towards the overall satisfaction. This paper aims to verify the possibility of replacing the traditional method with the more cost-effective best-worst case 1 method, using a customer survey recently conducted in Santander, Spain. The results show that the satisfaction level obtained from these alternative methods are remarkably similar. The relative importance of each attribute delivered by the two methods differ, with the Best-Worst approach showing more intuitive and consistent results with the literature on public transport customer satisfaction. A regression method is developed to derive customer satisfaction with each service attribute from Best-Worst modelling results.
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Colbourn, T. E. "Investigating the benefits of women's groups in Malawi : adapted quality of life measurement, best-worst scaling choice-experiments and contingent valuation." Thesis, University College London (University of London), 2012. http://discovery.ucl.ac.uk/1366631/.

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This Ph.D. aims to investigate how women’s groups, aimed at reducing maternal and neonatal mortality in Malawi, affect quality of life. Quality of life was measured in 534 women, com- prising 179 women’s group members in 36 different communities, 174 non-members in the same communities and 181 women in 36 control communities. The WHOQoL-BREF, a 26-item ques- tionnaire developed by the WHO to measure quality of life from a broad perspective, was used. The WHOQoL-BREF has the following six domains: overall quality of life, overall health, phys- ical, psychological, social relationships and environment; and is compatible with the capability approach of economic evaluation. It was first translated into Chichewa, the main local lan- guage of Malawi, and validated for future use as part of this Ph.D. This Ph.D. also makes methodological contributions via adaptation of Discrete Choice Experiment best-worst scaling exercises for use in poor rural communities; and adapting Contingent Valuation techniques using time and maize flour as alternative payment methods to money. The choice experiments were employed to provide relative preference-weights to each WHOQoL-BREF attribute as an altern- ative to respondents indicating how important each attribute is on a scale not requiring them to trade-off attributes against each other. The results of the choice experiments were modelled using the newly-developed Sequential Best-Worst Multinomial Logit Model. The Contingent Valuation study contributes empirical data on whether, how much, and why the women in the three study arms value the women’s group intervention. This Ph.D. also explores philosoph- ical, political, psychological and economic literature surrounding measurement of quality of life, decision-making, economic evaluation and allocative efficiency. It hopes to contribute toward valuation of women’s groups in Malawi, and, more broadly, toward methods of cost-benefit ana- lysis of health interventions in low-income countries via the consideration of non-health costs and benefits.
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Millman, Caroline Elizabeth. "Perceptions and risks : food-borne pathogens in the domestic environment." Thesis, University of Manchester, 2012. https://www.research.manchester.ac.uk/portal/en/theses/perceptions-and-risks-foodborne-pathogens-in-the-domestic-environment(daae2641-ddf5-41d0-877c-1ba1533ad243).html.

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Food-borne illness is a significant burden both with regard to public health and financially. Efforts to reduce the level of food-borne illness continue to concentrate on the full food supply chain with particular regard given to Campylobacter, the most commonly reported zoonosis and the greatest burden to public health. The focus of this research is domestic food safety practises, where there is no regulation. Food safety is reliant on people’s knowledge or awareness, their ability to adopt safe food handling practises and for the correct behaviours to achieve this, to be routine. The elicitation of awareness and perceptions with regard to food safety are problematic due to the complexities of human nature, including the presence of several forms of bias, such as social desirability bias and optimistic bias. The research was designed in order to try to minimise such biases, whilst further understanding influences on food safety preparation behaviour. Food safety preparation behaviours and kitchen hygiene were investigated between people who had campylobacteriosis in comparison to people who had not had food poisoning. Whilst no difference was noted in the kitchen hygiene between the two groups, significant differences were noted in self-reported food preparation behaviours. Optimistic bias was exhibited by both groups but when tested again after six months had elapsed, the group who had not had food poisoning increased their optimism, introducing a significant difference in optimistic bias between the two groups. Awareness of a number of unsafe food behaviours was explored for individuals and groups of people using a method developed as part of the research. This method of hazard awareness uses video as a stimulus, creating an interactive survey, combined with attitudinal and demographic data. Changes were made to perceptions of knowledge and risk following the hazard perception challenge, with the number of hazards missed, influencing this movement in perception. The risk perception of unsafe food handling behaviours was examined using a novel technique Best-Worst Scaling, in order to identify relative risks. This technique, in conjunction with latent class modelling, demonstrated a difference in perceptions between food safety experts and members of the general public. However, these differences are nuanced and demonstrate that heterogeneity exists both within and across the groups. Taken together, these findings have extended the research on domestic food safety behaviour and risk perceptions. It has done so by developing and testing novel methods to elicit relative risk perceptions and hazard perception with regard to food safety behaviours. The results provide valuable evidence for stakeholders particularly with regard to the novel methods used in identifying the heterogeneity and influences of food safety behaviour between groups of people. It also provides important tools for stakeholders, risk managers and communicators to use in future research, communication and education.
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Adamsen, Jannie Mia. "An Australian Choice Study: Food for Thought." Thesis, Griffith University, 2014. http://hdl.handle.net/10072/367477.

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Organic food is claimed to be one of the fastest growing food categories worldwide, with annual sale growth rates of 20-30%. While the uptake of organic foods is higher in G7 countries, organic consumption rates in Australia are significantly lower than other comparable Western markets, despite general positive attitudes towards organics, and significant organic production areas. Impediments to organic food uptake have been identified previously from both a supply- and demand-side perspective. Impediments include availability, pricing and certification. The aims of this research are twofold. First, this research seeks to understand what Australian consumers currently understand about organic certification schemes and labelling. Second, it incorporates a large-scale national survey that examines preferences for organic alternatives. This research applies a choice-based method, best-worst (BW) scaling, in three organic food categories to understand the trade-offs that respondents are willing to make.<br>Thesis (PhD Doctorate)<br>Doctor of Philosophy (PhD)<br>Griffith Business School<br>Griffith Business School<br>Full Text
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Daly, Timothy Michael. "Conflict management in consumer behaviour : examining the effect of preferred conflict management style on propensity to bargain." UWA Business School, 2009. http://theses.library.uwa.edu.au/adt-WU2010.0040.

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This thesis focuses on two under-researched areas of consumer behaviour: conflict handling styles and consumer bargaining. As illustrated in this thesis, consumer bargaining is a substantial and important behaviour that has rarely been studied from a consumer perspective. Further, conflict handling, which is considered an important and wellresearched phenomenon in an organisational context, has been rarely applied to consumer behaviour, despite the potential for conflict in many areas. The aims of this thesis were to a) examine consumer bargaining behaviour across a variety of culturally diverse nations; b) develop and validate a new instrument to measure conflict handling styles; and c) examine the relationships between the likelihood of consumer bargaining, preferred conflict handling styles, and personal values. Consumer bargaining was found to be common in both developed and developing nations. Respondents from Australia and Germany reported bargaining for a broad range of products that vary in their prices, including cars, electronics, appliances, clothing, and computers. Bargaining in South Korea was even more common, including everyday purchases like clothing, and food and drink. Finally, bargaining in Brazil was almost as common as in South Korea, and also included expensive consumer durable purchases, such as electronic products and cars, in addition to everyday purchases, such as clothing, and food and drink. The conflict handling style instrument developed in this project had convergent validity with existing ratings scales, reproduced the theorised structure of the dual-concerns model of conflict handling, and had predictive validity in a service recovery context. The benefits iii of the new scale over existing ratings scales include: a) capturing relative preference for the conflict handling styles; b) reduction of sources of common method variance; c) reduction of ratings scale response biases; and d) reduction of numerical effect biases, such as different perceived distances between response categories. The newly developed scale was also used to assess the hypothesised relationships between personal values, conflict handling styles, and consumer bargaining intensity in a developed Western country (Germany). As expected, the dominate conflict handling style was positively related, while the avoid conflict handling style was negatively related to consumer bargaining intensity. Although no relationship was found between personal values and consumer bargaining intensity, personal values were found to be an antecedent of conflict handling styles. Specifically, the power value type was found to be a positive predictor of the dominate conflict handling style, while benevolence and social universalism were found to be positive predictors of the integrate conflict handling style.
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Le, Moine Veillon Clément. "Neural Conversion of Social Attitudes in Speech Signals." Electronic Thesis or Diss., Sorbonne université, 2023. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2023SORUS034.pdf.

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En tant qu’animaux sociaux, les humains communiquent entre eux en se transmettant divers types d’information sur le monde et sur eux-mêmes. Au cœur de ce processus, la voix permet la transmission de messages linguistiques dénotant un sens strict qui peut être décodé par l’interlocuteur. En transmettant d’autres informations telles que des attitudes ou des émotions qui connotent le sens strict, la voix enrichit et facilite le processus de communication. Au cours des dernières décennies, l’importance des technologies numériques dans nos vies n’a cessé de croître. Dans de nombreuses situations quotidiennes, nous délaissons les claviers, les souris et même les écrans tactiles au profit d’interactions avec des assistants vocaux ou même des agents virtuels qui permettent de communiquer avec les machines comme on le fait avec nos congénères. Avec l’émergence d’un monde hybride où coexistent réalités physique et virtuelle, il devient crucial de permettre aux machines de capter, d’interpréter et de reproduire les émotions et les attitudes véhiculées par la voix humaine. Cette recherche se concentre sur les attitudes sociales de la parole, qui peuvent être définies dans un contexte d’interaction comme des dispositions vocales envers les autres, et vise à développer des algorithmes pour leur conversion. Pour atteindre cet objectif, des données - c’est-à-dire une collection d’enregistrements audio d’énoncés véhiculant diverses attitudes vocales - sont nécessaires. Cette recherche est donc construite à partir de cette étape initiale de collecte d’une matière première, à savoir un jeu de données dédié aux attitudes sociales de la parole. La conception d’algorithmes de conversion des attitudes vocales implique de comprendre ce qui les définit, à la fois en termes de production - comment les individus utilisent-ils leur appareil vocal pour produire des attitudes ? - et de perception - comment décodent-ils ces attitudes dans la parole?. Nous avons donc mené deux études, une première mettant en évidence les stratégies de production des attitudes vocales et une seconde - basée sur une expérience de Best Worst Scaling (BWS) - mettant principalement en évidence les biais impliqués dans la perception de ces attitudes vocales, fournissant ainsi une double compréhension de la manière dont les attitudes vocales sont communiquées par les individus français. Ces résultats nous ont permis de motiver notre choix de représentation du signal vocal ainsi que nos choix d’architecture et d’optimisation pour la conception d’algorithmes de conversion des attitudes vocales. Afin d’étendre à l’ensemble de la base de données les connaissances sur la perception des attitudes vocales recueillies lors de cette seconde étude, nous avons travaillé à l’élaboration d’un BWS-Net permettant la détection des attitudes mal communiquées, fournissant ainsi des données propres pour l’apprentissage de la conversion. Afin d’apprendre à convertir les attitudes vocales, nous avons adopté une approche basée sur un réseau transformer dans un paradigme de conversion many-to-many utilisant le mel-spectrogramme comme représentation du signal de parole. Les premières expériences ayant révélé une perte d’intelligibilité dans les échantillons convertis, nous avons proposé un conditionnement linguistique de l’algorithme de conversion en lui incorporant un module de reconnaissance de parole. Des mesures objectives et subjectives ont montré que l’algorithme résultant obtient de meilleures performances que le transformer de référence aussi bien en termes d’intelligibilité et d’attitude véhiculée<br>As social animals, humans communicate with each other by transmitting various types of information about the world and about themselves. At the heart of this process, the voice allows the transmission of linguistic messages denoting a strict meaning that can be decoded by the interlocutor. By conveying other information such as attitudes or emotions that connote the strict meaning, the voice enriches and enhances the communication process. In the last few decades, the digital world has become an important part of our lives. In many everyday situations, we are moving away from keyboards, mice and even touch screens to interactions with voice assistants or even virtual agents that enable human-like communication with machines. In the emergence of a hybrid world where physical and virtual reality coexist, it becomes crucial to enable machines to capture, interpret, and replicate the emotions and attitudes conveyed by the human voice.This research focuses on speech social attitudes, which can be defined - in a context of interaction - as speech dispositions towards others and aims to develop algorithms for their conversion. Fulfilling this objective requires data, i.e. a collection of audio recordings of utterances conveying various vocal attitudes. This research is thus built out of this initial step in gathering raw material - a dataset dedicated to speech social attitudes. Designing such algorithms involves a thorough understanding of what these attitudes are both in terms of production - how do individuals use their vocal apparatus to produce attitudes? - and perception - how do they decode those attitudes in speech? We therefore conducted two studies, a first uncovering the production strategies of speech attitudes and a second - based on a Best Worst Scaling (BWS) experiment - mainly hinting at biases involved in the perception such vocal attitudes, thus providing a twofold account for how speech attitudes are communicated by French individuals. These findings were the basis for the choice of speech signal representation as well as the architectural and optimisation choices for the design of a speech attitude conversion algorithm. In order to extend the knowledge on the perception of vocal attitudes gathered during this second study to the whole database, we worked on the elaboration of a BWS-Net allowing the detection of mis-communicated attitudes, and thus provided clean data for conversion learning. In order to learn how to convert vocal attitudes, we adopted a transformer-based approach in a many-to-many conversion paradigm with mel-spectrogram as speech signal representation. Since early experiments revealed a loss of intelligibility in the converted utterances, we proposed a linguistic conditioning of the conversion algorithm through incorporation of a speech-to-text module. Both objective and subjective measures have shown the resulting algorithm achieves better performance than the baseline transformer both in terms of intelligibility and attitude conveyed
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Krucien, Nicolas. "Analyse de la qualité de l’offre de soins de médecine générale du point de vue des patients." Thesis, Paris 11, 2012. http://www.theses.fr/2012PA11T009/document.

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Les systèmes de santé accordent une attention croissante au point de vue des usagers dans l’organisation de l’offre de soins. L’instauration d’une offre de soins sensible aux besoins et préférences des patients constitue un enjeu majeur de qualité et d’efficacité des soins. Ce travail analyse le point de vue des patients pour l’offre de soins de médecine générale en utilisant différentes méthodes permettant d’obtenir des informations complémentaires en termes d’expérience de soins, de satisfaction, d’importance ou encore de préférences. Il s’agit des méthodes Delphi, de classement du meilleur au pire et de révélation des préférences par les choix discrets. Ces méthodes sont appliquées sur deux échantillons : en population générale pour la première et chez des patients poly-pathologiques pour les 2 autres afin d’identifier les principaux enjeux actuels et à venir de la réorganisation de l’offre de soins de médecine générale du point de vue des patients. Les résultats montrent le rôle central de la relation médecin-patient et plus particulièrement de l’échange d‘informations entre le médecin et le patient. Cependant une relation médecin-patient de qualité ne doit pas pour autant être réalisée au détriment de la qualité technique du soin et de la coordination de la prise en charge du patient. Ce travail montre également l’importance de prendre en compte l’expérience de soins des patients lors de l’analyse de leur point de vue, et plus particulièrement de leur disposition au changement. L’évaluation systématique et régulière des préférences des patients en pratique quotidienne peut permettre d’améliorer la communication médecin-patient ainsi que le contenu de l’offre de soins du point de vue des patients<br>The healthcare systems are paying a great interest to the patients’ perspective for the organization of health care provision. Healthcare system which is accountable and responsive of patients’ needs and preferences is a major issue for the quality and efficiency of care. In this thesis, we analyze the views of patients for the supply of GP care in using different complementary methods about patients’ experience, satisfaction, importance or preferences. These methods are applied to a sample of patients in GP and to a sample of chronically ill patients in order to identify current and future major issues for the reorganization of GP care from the patients’ perspective. The results show the main role of the doctor-patient relationship and especially of the information exchange between doctor and patient and between patient and doctor. However the quality of the doctor-patient relationship is not enough. The technical quality of care (i.e. thoroughness) and the coordination are of high importance for patients. This work highlights that it is necessary to take into account the patients’ experiences in the analysis of their perspective (e.g. preferences) to fully and appropriately understand the results, especially in terms of willingness to change. The systematic and regular screening of patient preferences in daily GP practice can improve the doctor-patient communication and the content of the provision of care from the perspective of patients
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Zorigt, Ganchimeg, and Ganchimeg Zorigt. "Use of best-worst scaling to estimate the magnitude of stressful life events." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/95k6zs.

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Books on the topic "Best–worst scaling (BWS)"

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Sun, Lin. Using Best-Worst Scaling Methodology to Assess Caregivers’ Preferences for Intervention Goals for Their 3-8-Year-Old Autistic Children in Mainland China. SAGE Publications Ltd, 2025. https://doi.org/10.4135/9781036216733.

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Louviere, Jordan J., A. A. J. Marley, and Terry N. Flynn. Best-Worst Scaling: Theory, Methods and Applications. Cambridge University Press, 2015.

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Louviere, Jordan J., A. A. J. Marley, and Terry N. Flynn. Best-Worst Scaling: Theory, Methods and Applications. Cambridge University Press, 2015.

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Louviere, Jordan J., A. A. J. Marley, and Terry N. Flynn. Best-Worst Scaling: Theory, Methods and Applications. Cambridge University Press, 2015.

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Book chapters on the topic "Best–worst scaling (BWS)"

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Tsuge, Takahiro, Yasushi Shoji, and Ayumi Onuma. "Assessing Public Preference for Construction of Giant Seawalls Using the Best–Worst Scaling Approach." In Ecological Research Monographs. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-6791-6_24.

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AbstractGiant seawalls have been constructed in areas stricken by the 2011 Great East Japan Earthquake to protect nearby townships from tsunamis, but their construction has caused great controversy. This study conducted a survey using the best–worst scaling (BWS) method in Iwate and Miyagi Prefectures, where the seawalls are constructed to understand what specific factors citizens think should be taken into consideration during construction. The results revealed that the negative impacts on the natural environment and seawall height (safety) were ranked most highly. Additionally, the results of regression analysis with respondents’ B-W scores for the negative impacts on the natural environment and seawall height (safety) as the explained variables demonstrated that people who less strongly recognized the need for a seawall were more likely to think the negative impact on the natural environment should be taken into consideration than did people who strongly recognized the need for a seawall; however, people who did not know much about seawalls were more likely to think seawall height should be considered than people who did. The regression analysis also found that people who more strongly felt there was a need to build seawalls were more likely to think seawall height should be a key consideration, whereas people who personally had suffered harm in the tsunami following the Great East Japan Earthquake were more likely to think seawall height should be a key consideration than did those who were not personally affected.
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Cohen, Eli, and Larry Lockshin. "Best–Worst Scaling Method: Application to Hospitality and Tourism Research." In Management Science in Hospitality and Tourism. Apple Academic Press, 2017. http://dx.doi.org/10.1201/b19937-5.

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Amadou, Zakou. "Agropastoralists’ Climate Change Adaptation Strategy Modeling: Software and Coding Method Accuracies for Best-Worst Scaling Data." In African Handbook of Climate Change Adaptation. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-45106-6_129.

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AbstractInvestigating software and coding method accuracies are still a challenge when dealing with best-worst scaling data. Comparing various climate change policy estimates and their relative importance across different statistical packages has received little attention. In this chapter, we use best-worst scaling approach to determine agropastoralist preferences for 13 climate change adaptation policies across two popular statistical packages (R and SAS). While data were collected from 271 agropastoralists, mixed logit was used to analyze data. Results reveal that mean and standard deviation estimates for 13 climate change adaptation policies from R are higher and statistically significant than SAS estimates. Based on R estimates, prolific animal selection, vaccination, settlement, strategic mobility, and strategic destocking are the most popular climate change adaptation policies, and more than two-third of respondents are in favor of these policies.
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Behrens, Stefan, Klaus-Peter Wiedmann, and Nadine Hennigs. "Wine as Luxury Experience: A Taxonomy of Consumers Based on Best-Worst Scaling." In Luxury Marketing. Gabler Verlag, 2012. http://dx.doi.org/10.1007/978-3-8349-4399-6_22.

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Bottero, Marta, Marina Bravi, Caterina Caprioli, Federico Dell’Anna, Marta Dell’Ovo, and Alessandra Oppio. "New Housing Preferences in the COVID-19 Era: A Best-to-Worst Scaling Experiment." In Computational Science and Its Applications – ICCSA 2021. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86979-3_9.

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Berta, Mauro, Marta Bottero, Marina Bravi, Federico Dell’Anna, and Andrea Rapari. "The Regeneration of a Shopping Center Starts from Consumers’ Preferences: A Best-Worst Scaling Application." In Computational Science and Its Applications – ICCSA 2021. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-87007-2_38.

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Tsuge, Takahiro, Satoshi Nakamura, and Nisikawa Usio. "Assessing the Difficulty of Implementing Wildlife-Friendly Farming Practices by Using the Best–Worst Scaling Approach." In Ecological Research Monographs. Springer Japan, 2014. http://dx.doi.org/10.1007/978-4-431-55330-4_15.

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Amadou, Zakou. "Agropastoralists’ Climate Change Adaptation Strategy Modeling: Software and Coding Method Accuracies for Best-Worst Scaling Data." In African Handbook of Climate Change Adaptation. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42091-8_129-1.

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Stylidis, Konstantinos, Serena Striegel, Monica Rossi, Casper Wickman, and Rikard Söderberg. "Perceived Quality Estimation by the Design of Discrete-Choice Experiment and Best–Worst Scaling Data: An Automotive Industry Case." In Smart Innovation, Systems and Technologies. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-5974-3_74.

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Basile, Valerio, Stella Markantonatou, Vivian Stamou, et al. "Using HurtLex and Best-Worst Scaling to Develop ERIS." In Advances in Media, Entertainment, and the Arts. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-8427-2.ch003.

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ERIS, a lexical resource of Modern Greek for offensive language detection, is the result of cleansing, enriching and assigning graded offensiveness values to the EL branch of HurtLex. ERIS contains 1148 entries and is openly available. Graded values were obtained with the Best-Worst Scaling methodthat was applied with the Litescale tool. Nouns and adjectives that have humans as a target were found to attract bigger offensiveness values. The classification of the terms in ERIS with the BWS method and a previous classification of a substantial subset of these terms into “offensive (context in/dependent)” with the inter-annotator agreement method are found to stand in a broad correlation, thus validating the methodology that was adopted to produce a more fine-grained and informative affective lexical resource. ERIS contains 1148 terms and their inflectional paradigms. It is openly available under the CC-BY-NC 4.0 license.
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Conference papers on the topic "Best–worst scaling (BWS)"

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Basile, Valerio, and Christian Cagnazzo. "Litescale: A Lightweight Tool for Best-worst Scaling Annotation." In International Conference Recent Advances in Natural Language Processing. INCOMA Ltd. Shoumen, BULGARIA, 2021. http://dx.doi.org/10.26615/978-954-452-072-4_015.

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Pfnür, Andreas, Yassien Bachtal, and Fabian Lachenmayer. "Future housing: A best-worst scaling approach to identify user requirements." In 29th Annual European Real Estate Society Conference. European Real Estate Society, 2023. http://dx.doi.org/10.15396/eres2023_157.

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Schöbel, Sofia, Torben Barev, Andreas Janson, Felix Hupfeld, and Jan Marco Leimeister. "Understanding User Preferences of Digital Privacy Nudges – A Best-Worst Scaling Approach." In Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences, 2020. http://dx.doi.org/10.24251/hicss.2020.479.

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Kiritchenko, Svetlana, and Saif M. Mohammad. "Capturing Reliable Fine-Grained Sentiment Associations by Crowdsourcing and Best–Worst Scaling." In Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Association for Computational Linguistics, 2016. http://dx.doi.org/10.18653/v1/n16-1095.

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Berger, Michelle, and Carolin Jung. "Gamification in Nutrition Apps – Users’ Gamification Element Preferences: A Best-Worst-Scaling Approach." In Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences, 2021. http://dx.doi.org/10.24251/hicss.2021.162.

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Bagdon, Christopher, Prathamesh Karmalkar, Harsha Gurulingappa, and Roman Klinger. "“You are an expert annotator”: Automatic Best–Worst-Scaling Annotations for Emotion Intensity Modeling." In Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers). Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.naacl-long.439.

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Kiritchenko, Svetlana, and Saif Mohammad. "Best-Worst Scaling More Reliable than Rating Scales: A Case Study on Sentiment Intensity Annotation." In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). Association for Computational Linguistics, 2017. http://dx.doi.org/10.18653/v1/p17-2074.

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Pentz, Chris, and Markus Filter. "“FROM GENERATION Y TO GENERATION WINE” A BEST-WORST SCALING STUDY OF WINE ATTRIBUTE IMPORTANCE." In 52nd International Academic Conference, Barcelona. International Institute of Social and Economic Sciences, 2019. http://dx.doi.org/10.20472/iac.2019.052.050.

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Littlehales, Ian, Saul Simões Neto, Jose Mateus Dias Neto, et al. "Systematic Modelling and Laboratory Testing to Allow the Potential for Economic Inorganic Scale Control in the Brazilian Pre-Salt Fields." In Offshore Technology Conference Brasil. OTC, 2023. http://dx.doi.org/10.4043/32968-ms.

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Abstract Pre-salt oil fields such as those produced in the Offshore market in Brazil, offer a unique set of challenges related to the control of inorganic scale deposits. Scale deposition has the potential to negatively impact production rates and profitability of the operations. Often laboratory testing studies examine the performance of scale inhibitors using so called industry standard techniques like the Dynamic Scale Loop (DSL) but can sometimes be conducted under unrealistic scaling conditions considered by the operators or laboratory scientist to be "worst case". This however can severely limit the number of products that can be successfully qualified for application in the field and lead to recommendations of very high dose rates, which may not be achievable as water cuts increase. To successfully test chemicals in the laboratory prior to field application, the conditions of the tests must closely represent the field. This includes the brine chemistry of the well, the CO2 concentration and pH of the fluids. This paper will detail the results of a new modelling and laboratory study which shows an extremely severe scaling regime that could be expected under the pre-assigned worst case field conditions leading to the failure of chemicals to economically prevent scale. However, when all parameters are considered, laboratory conditions were optimized to represent field conditions more closely, resulting in a more representative (milder) in-situ scaling regime such that chemical performance was significantly improved. Ultimately when the laboratory conditions were tuned to the newly modelled in-situ field conditions, there was a significant reduction in the minimum effective dose (MED) determined in the lab for all conditions, offering the potential for effective treatments to be achieved even at increased water cuts. This work shows that only focusing on one system parameter like maximum field pH results in an overly severe testing regime, limiting the number of products available to the Operating Company. The "worst case" approach also results in the dose rates of those chemicals which are selected being unrealistically high for field application at high water cuts. When more representative in-situ conditions are modelled and then utilised in the laboratory, a wide range of scale inhibitor chemistries would potentially be available for field applications allowing the operator to realize significant OPEX savings. The paper also highlights how careful modelling and optimisation of test conditions is a critical aspect associated with scale inhibitor qualification and highlights the best practice approach to selecting and optimising test conditions in the laboratory to ensure they remain representative of the field conditions.
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Reports on the topic "Best–worst scaling (BWS)"

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Rigby, Dan, Michael Burton, Katherine Payne, Zachary Payne-Thompson, Stuart Wright, and Sarah O’Brien. Impacts of Food Hypersensitivities on Quality of Life in the UK and Willingness to Pay (WTP) to remove those impacts. Food Standards Agency, 2022. http://dx.doi.org/10.46756/sci.fsa.kij502.

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This project concerns the impacts of food hypersensitivity on people’s quality of life and the monetary value people assign to the removal of those impacts. Food hypersensitivities (FHS) are, in this report, defined as comprising food allergy, coeliac disease and food intolerance. Estimates of the economic value of removal of food hypersensitivity were generated from a stated preference (SP) survey in which people completed a discrete choice experiment (DCE). The DCE comprised of choices between (i) no change in respondents’ food hypersensitivity and (ii) the condition being removed for a specified period, at a cost. The surveys were conducted between July and December 2021 by adults regarding their own food hypersensitivity or by parents/carers regarding their child’s food hypersensitivity. The samples comprised 1426 adults and 716 parents. The average WTP for the removal of an adult’s FHS for a year, pooled across all conditions was £718. For models estimated separately by condition, the WTP values for food allergy, coeliac disease and food intolerance were £1064, £1342 and £540 respectively. In models estimated on DCE data from parents regarding their children’s food hypersensitivity the average WTP, pooled across all conditions, was £2501. The annual WTP values by condition were: £2766 for food allergy; £1628 for coeliac disease; £1689 for food intolerance. Respondents rated their (child’s) health and the impacts of their (child’s) FHS using several established instruments including the Food Allergy Quality of Life Questionnaire (FAQLQ); Food Intolerance Quality of Life Questionnaire (FIQLQ); Coeliac Disease Quality of Life Questionnaire, (CDQ). In the adult allergy and intolerance models we find robust evidence of effects of the perceived severity of FHS on WTP – the higher people’s FAQLQ and FIQLQ scores, the more they are willing to pay to remove their condition. There was no effect of variation in the CDQ score on WTP to remove coeliac disease. In the child WTP results we find condition-severity effects in the coeliac sample: the worse the child’s CDQ score the higher the parents’ WTP to remove the condition. The WTP values are estimates of the combined annual costs associated with (i) the intangible costs including the pain, anxiety, inconvenience and anxiety caused by FHS and (ii) additional incurred costs (time and money) and lost earnings. The values can be incorporated into the FSA Cost of Illness (COI) model, the Burden of Foodborne disease in the UK (Opens in a new window) which is currently used to measure the annual, social, cost of foodborne disease. A Best Worst Scaling (BWS) exercise was conducted to identify the relative importance of the many and diverse impacts which comprise the FAQLQ, FIQLQ and CDQ instruments. The BWS results indicate that people assign very different levels of importance to the impacts comprising the three instruments. This unequal prioritisation contrasts with the equal weighting used in the construction of the FAQLQ, FIQLQ and CDQ measures. Embarrassment and fear related to eating out or social situations feature in the top three impacts for all the conditions. Identifying the effects which most affect quality of life (from the perspective of people living with those conditions) has the potential to inform policy and practice by both regulators and private organisations such as food business operators.
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