The effects of acclimation to the United States and other demographic factors on responses to salt levels in foods: An examination utilizing face reader technology

Kerrihard, Adrian L.; Khair, Mohamad B.; Blumberg, Renata; Feldman, Charles; Wunderlich, Shahla M.

doi:10.1016/j.appet.2017.05.004

Cited by 19 publications

(11 citation statements)

References 15 publications

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“…In addition to happy and sad expressions, we involved the positive response index (PRI) as a scoring metric to evaluate the net positive emotion [32]. PRI is defined as the difference between scores for happy and sad expressions.…”

Section: Discussionmentioning

confidence: 99%

The Relationship between the Facial Expression of People in University Campus and Host-City Variables

2020

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Public attitudes towards local university matters for the resource investment to sustainable science and technology. The application of machine learning techniques enables the evaluation of resource investments more precisely even at the national scale. In this study, a total number of 4327 selfies were collected from the social network services (SNS) platform of Sina Micro-Blog for check-in records of 92 211-Project university campuses from 82 cities of 31 Provinces across mainland China. Photos were analyzed by the FireFACETM-V1.0 software to obtain scores of happy and sad facial expressions and a positive response index (PRI) was calculated (happy-sad). One-way analysis of variance indicated that both happy and PRI scores were highest in Shandong University and lowest in Harbin Engineering University. The national distribution of positive expression scores was highest in Changchun, Jinan, and Guangzhou cities. The maximum likelihood estimates from general linear regression indicated that the city-variable of the number of regular institutions of higher learning had the positive contribution to the happy score. The number of internet accesses and area of residential housing contributed to the negative expression scores. Therefore, people tend to show positive expression at campuses in cities with more education infrastructures but fewer residences and internet users. The geospatial analysis of facial expression data can be one approach to supply theoretical evidence for the resource arrangement of sustainable science and technology from universities.

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Section: Discussionmentioning

confidence: 99%

The Relationship between the Facial Expression of People in University Campus and Host-City Variables

2020

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“…The magnitude of each expression on one face was valued by the frequency given by the software, which has been trained to recognize at high precision. We focused on extreme expressions of "happy" and "sad" and used scores of these two expressions for further calculation because they can reflect the emotion more precisely than others [36,44]. The positive response index (PRI) was employed as a scoring metric and is defined as the difference between scores for happy and sad emotions to evaluate the net positive level of favorable reaction of visitors in the urban forests [36].…”

Section: Methodsmentioning

confidence: 99%

“…Subsequently, the relationship between the forest-distance to the city center and eight facial-expression scores were analyzed by the Pearson correlation. Finally, a Poisson regression model was used to analyze the effects of multiple geographic and demographic factors on PRI [36]. The Poisson regression was conducted to detect the PRI response to multiple independent variables of city-variation, park-location, to-center distance, park area, and visitors' gender (open data on Sina Micro-Blog).…”

Section: Methodsmentioning

confidence: 99%

Facial Expressions of Visitors in Forests along the Urbanization Gradient: What Can We Learn from Selfies on Social Networking Services?

Wei

Hauer

Chen

et al. 2019

Forests

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People’s satisfaction towards the experience in forests is one of most important feedbacks that forest park managers need to meet positive visitors’ experiences. Although the drawbacks of questionnaire methodology are obvious for data collection from self-reported scores at the landscape scale, few alternative methods have been proposed. In this study, nine urban forest parks along the urbanization gradients in three capital cities of Northeast China were targeted to investigate their visitors’ selfies from social networking services (SNS) by assessing facial expressions. A total of 935 photos with location records were obtained from the SNS platform of Sina Micro-Blog in a social hot-event of ‘Golden Week Holidays of National Day of China’ of 2017. Images were recognized by FireFace software to assess scores of neutral, happy, sad, angry, surprised, scared, disgusted, and contempt expressions. Data were ranked in descending order and analyzed by Friedman’s test, correlation analysis, and Poisson regression. Visitors in downtown-forests showed fewer negative expressions at the most northern city than at the southern most one. The negative expressions tended to be alleviated with the increasing distance of forest parks from downtown. However, when the distance reached over 10 km no geographical effect was found. Female visitors showed positive emotional expressions to urban forests while male visitors showed no response. In conclusion, using data from SNS, this study found an experience in forest park less than 10 km from the downtown of a northern city resulted in female visitors showing the most positive expressions.

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“…The measurement of facial expressions induced by tasting different foods gives additional information about consumers' emotional responses. Therefore, FaceReader software has already been used in many other food studies (Kerrihard et al, 2017;Lagast et al, 2017;Crist et al, 2018). In our study, we established correlations between the emotions induced in judges by the different HSE products and overall acceptability, evaluated using a standard method: 'neutral'weak positive correlation (r = 0.35), 'sad'moderately negative (r = À0.47), 'surprised'moderately negative (r = À0.54), 'scared'moderately negative (r = À0.45), 'surprised'moderately negative (r = À0.54), 'contempt'weakly negative (r = À0.25) and 'valence'moderately negative (r = À0.49)).…”

Section: Overall Acceptability and Emotions Induced By The Prepared Ementioning

confidence: 99%

Technology and characterisation of whole hemp seed beverages prepared from ultrasonicated and fermented whole seed paste

Bartkienė

Zokaitytė

Lėlė

et al. 2019

Int J of Food Sci Tech

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The aim of this study was to apply fermentation with Pediococcus acidilactici LUHS29, P. pentosaceus LUHS183, Lactobacillus casei LUHS210 and L. uvarum LUHS245 strains, as well as ultrasonication (US) for whole hemp (Cannabis sativa L.) seed paste (HSP) treatment and preparation of emulsions (HSE). Additionally, the biogenic amine (BA) content and antimicrobial properties of the prepared products were evaluated. It was found that US and fermentation reduced total bacteria count in HSP. The highest BA content was found in US-treated HSP (639.87 mg kg À1). HSE US , HSE LUHS29 , HSE LUHS183 , HSE LUHS210 and HSE LUHS245 samples showed lower f-potential. The highest overall acceptability (OA) was established for HSE LUHS245 , and correlations were established between the emotions induced by the different HSE products and OA. Pure LAB showed a broad variety of pathogen inhibition; however, the antimicrobial activity of HSP was very low, and HSE did not show any antimicrobial properties. Finally, treatment with selected LAB can be recommended for preparation of stable emulsions, and the most acceptable beverages can be obtained by using LUHS245 strain.

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The effects of acclimation to the United States and other demographic factors on responses to salt levels in foods: An examination utilizing face reader technology

Cited by 19 publications

References 15 publications

The Relationship between the Facial Expression of People in University Campus and Host-City Variables

The Relationship between the Facial Expression of People in University Campus and Host-City Variables

Facial Expressions of Visitors in Forests along the Urbanization Gradient: What Can We Learn from Selfies on Social Networking Services?

Technology and characterisation of whole hemp seed beverages prepared from ultrasonicated and fermented whole seed paste

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