Browsing Brage NMBU by Author "Næs, Tormod"

A similarity index for comparing coupled matrices

Indahl, Ulf Geir; Næs, Tormod; Liland, Kristian Hovde (Journal article; Peer reviewed, 2018)

Application of sequential and orthogonalised-partial least squares (SO-PLS) regression to predict sensory properties of Cabernet Sauvignon wines from grape chemical composition

Niimi, Jun; Tomic, Oliver; Næs, Tormod; Jeffery, David; Bastian, Susan E.P.; Boss, Paul K. (Journal article; Peer reviewed, 2018)

Better understanding of the relation of the dynamic sensory perception of solid and semi solid foods with consumers’ preferences and their perception of satiety

Nguyen, Quoc Cuong (PhD Thesis;2019:5, Doctoral thesis, 2019)

Nowadays, overweight and obesity has been recognized as one of the main reasons that leads to many non-communicable diseases such as diabetes, high blood pressure, cardiovascular disease and in some cases cancer. Therefore, ...

Children’s sweet tooth: Explicit ratings vs. Implicit bias measured by the Approach avoidance task (AAT)

Galler, Martina; Mikkelsen, Emma; Næs, Tormod; Liland, Kristian Hovde; Ares, Gastón; Varela, Paula (Peer reviewed; Journal article, 2021)

The study aimed to assess the application of the Approach avoidance task (AAT) with children to measure implicit motivational tendencies towards foods differing in sweetness and calorie content and to explore the relationship ...

Confidence ellipsoids for ASCA models based on multivariate regression theory

Liland, Kristian Hovde; Smilde, Age K.; Marini, Federico; Næs, Tormod (Journal article; Peer reviewed, 2018)

Consumer perception and acceptance of calorie-reduced dairy products

Johansen, Susanne Bølling (PhD Thesis;2010:03, Doctoral thesis, 2010)

This thesis is a part of the research project ‘‘Low energy products and consumer preferences”, financed by the Research Council of Norway (NFR) through Grant 167928/I10. The thesis is based on three experiments. Consumers’ ...

Detecting ideas in online communities : utilizing machine learning and text mining for finding ideas in online communities

Christensen, Kasper Knoblauch (PhD Thesis;2017:18, Doctoral thesis, 2017)

Online communities serve as a gathering point for dedicated product users and consumers who discuss all imaginable topics. Scholars have argued that this discussion can lead to new ideas useful for firms. That is, if the ...

Development of enzyme cocktails for complete saccharification of chitin using mono-component enzymes from Serratia marcescens

Mekasha, Sophanit; Byman, Ida Roksvåg; Lynch, Catherine; Toupalová, Hana; Andera, Ladislav; Næs, Tormod; Vaaje-Kolstad, Gustav; Eijsink, Vincentius Gerardus Henricus (Journal article; Peer reviewed, 2017)

One potential strategy for biorefining of chitin-rich biomass entails enzymatic saccharification, which, so far, has been scarcely explored. Here, saccharification of chitin was explored using response surface methodology ...

Efficient model selection in the Tikhonov Regularization framework and pre-processing of spectroscopic data

Skogholt, Joakim (PhD Thesis;2019:99, Doctoral thesis, 2019)

Machine learning is a hot topic in today's society. Data sets of varying sizes show up in a number of contexts, and learning from data sets is important for answering many questions. There is a plethora of methods that can ...

hoggorm: a python library for explorative multivariate statistics

Tomic, Oliver; Graff, Thomas; Liland, Kristian Hovde; Næs, Tormod (Peer reviewed; Journal article, 2019)

How children approach a CATA test influences the outcome. Insights on ticking styles from two case studies with 6–9-year old children

Galler, Martina; Næs, Tormod; L. Almli, Valérie; Varela, Paula (Peer reviewed; Journal article, 2020)

Due to its simplicity, Check-all-that-apply (CATA) is a promising method for consumer studies with children to generate sensory and other descriptions of samples, and to find their drivers of liking. This paper explores ...

How good are ideas identified by an automatic idea detection system?

Christensen, Kasper Knoblauch; Scholderer, Joachim; Hersleth, Stine Alm; Næs, Tormod; Kvaal, Knut; Mollestad, Torulf; Veflen, Nina; Risvik, Einar (Journal article; Peer reviewed, 2018)

Investigating individual preferences in rating and ranking conjoint experiments. A case study on semi-hard cheese

Almli, Valerie Lengard; Øvrum, Arnstein; Hersleth, Margrethe; Almøy, Trygve; Næs, Tormod (Journal article; Peer reviewed, 2015)

Stated preference conjoint experiments and self-explicated measures based on rating and ranking approaches were conducted to investigate Norwegian consumers’ choices among healthier and organically produced semi-hard ...

Making sense of the “clean label” trends: A review of consumer food choice behavior and discussion of industry implications

Asioli, Daniele; Aschemann-Witzel, Jessica; Caputo, Vincenzina; Vicchio, Riccardo; Annunziata, Azzurra; Næs, Tormod; Varela, Paula (Journal article; Peer reviewed, 2017)

Consumers in industrialized countries are nowadays much more interested in information about the production methods and components of the food products that they eat, than they had been 50 years ago. Some production methods ...

Mining online community data: The nature of ideas in online communities

Christensen, Kasper Knoblauch; Liland, Kristian Hovde; Kvaal, Knut; Risvik, Einar; Biancolillo, Alessandra; Scholderer, Joachim; Nørskov, Sladjana; Næs, Tormod (Journal article; Peer reviewed, 2017)

Ideas are essential for innovation and for the continuous renewal of a firm’s product offerings. Previous research has argued that online communities contain such ideas. Therefore, online communities such as forums, Facebook ...

Multi-block methods for investigating consumer acceptance of food

Menichelli, Elena (PhD Thesis;2013:67, Doctoral thesis, 2013)

Today's researchers easily gather large amounts of data of different origin and type. In sensory and consumer studies the objective is the collection of data to better understand consumer behavior in the market. Statistical ...

New methodologies in sensory and consumer research with preadolescents to guide product development of healthy, child-centred food

Galler, Martina (PhD Thesis;2021:89, Doctoral thesis, 2021)

Childhood obesity is one of the most serious public health challenges of the twenty-first century (WHO, 2018). In this context, finding ways to make the healthier food choices the preferred ones, can be a valuable contribution ...