scholarly journals A preliminary study on digital image performance to stimulate food taste experience

2020 ◽  
Vol 9 (5) ◽  
pp. 2154-2161
Author(s):  
Nur Hasni Nasrudin ◽  
Afdallyna Fathiyah Harun
Keyword(s):  
Online Survey ◽  
Visual Media ◽  
Taste Perception ◽  
Good News ◽  
User Perceptions ◽  
Food Image ◽  
Online Channel ◽  
Food Images ◽  
Taste Stimulation ◽  
Taste Experience

Users and food marketers alike would share images of food in the hopes that viewers would be able to capture the emotion/sensation presented by the food. This is a form of food digitization, shifting away from the mechanical aspect of taste stimulation to the use of digitized visuals. This paper aim to evaluate the performance of taste perception made by users by just looking at food image. Using food images as a medium of taste stimulation, this paper reports international users’ perception of the taste of Malaysian local food through an online channel. By applying SPSS analysis, the author studied the patterns of similarity and dissimilarity of users’ perception of food images that have been compiled using an online survey. Interestingly observed, the results of the analysis enable the author to assess how close user perceptions were akin to the real taste. The author found that most user perceptions are closely matched with the food’s real taste which allows the author to conclude that visual media is possible in stimulating food taste experience. It is good news for food marketers and food tourism. Nevertheless, more samples of food images are required to further attest these findings.

Validating an automated image identification process of a passive image-assisted dietary assessment method: proof of concept

2020 ◽  
Vol 23 (15) ◽  
pp. 2700-2710
Author(s):  
Tsz-Kiu Chui ◽  
Jindong Tan ◽  
Yan Li ◽  
Hollie A. Raynor
Keyword(s):  
Dietary Assessment ◽  
False Negative ◽  
Assessment Method ◽  
Identification Accuracy ◽  
Identification System ◽  
True Negative ◽  
Image Identification ◽  
Effect Of Food ◽  
Food Image ◽  
Food Images

AbstractObjective:To validate an automated food image identification system, DietCam, which has not been validated, in identifying foods with different shapes and complexities from passively taken digital images.Design:Participants wore Sony SmartEyeglass that automatically took three images per second, while two meals containing four foods, representing regular- (i.e., cookies) and irregular-shaped (i.e., chips) foods and single (i.e., grapes) and complex (i.e., chicken and rice) foods, were consumed. Non-blurry images from the meals’ first 5 min were coded by human raters and compared with DietCam results. Comparisons produced four outcomes: true positive (rater/DietCam reports yes for food), false positive (rater reports no food; DietCam reports food), true negative (rater/DietCam reports no food) or false negative (rater reports food; DietCam reports no food).Setting:Laboratory meal.Participants:Thirty men and women (25·1 ± 6·6 years, 22·7 ± 1·6 kg/m2, 46·7 % White).Results:Identification accuracy was 81·2 and 79·7 % in meals A and B, respectively (food and non-food images) and 78·7 and 77·5 % in meals A and B, respectively (food images only). For food images only, no effect of food shape or complexity was found. When different types of images, such as 100 % food in the image and on the plate, <100 % food in the image and on the plate and food not on the plate, were analysed separately, images with food on the plate had a slightly higher accuracy.Conclusions:DietCam shows promise in automated food image identification, and DietCam is most accurate when images show food on the plate.

News Media Organisations and Oil Spill Coverage

2003 ◽  
Vol 2003 (1) ◽  
pp. 353-356
Author(s):  
Alison G. Anderson
Keyword(s):  
News Media ◽  
Media Coverage ◽  
Online Survey ◽  
Editorial Policy ◽  
Good News ◽  
News Story ◽  
Sources Of Information ◽  
Scientific Training ◽  
The Impact ◽  
News Groups

ABSTRACT The news media play a key role in framing the media coverage of oil spills. It is imperative that scientists, industry and policymakers are fully tuned into the ways in which current news organisations operate. Over recent years, a growing environmental promotion industry has emerged, alongside an increasing emphasis on environmental advocacy within the commercial sector. A number of information crises (notably, the Exxon Valdez disaster in 1989) have forced sections of industry to take a more proactive approach to environmental communications as potent media imagery has directly contradicted assurances that environmental protection is not compromised by their activities. Particular issues or events that capture attention tend to be highly visually appealing and resonate with deeply held beliefs and values that operate at a symbolic level. This paper examines the preliminary findings of an international online survey of environmental reporting distributed to key environmental journalist news groups and generalist journalist news groups during June and July 2002. In particular, it focuses upon the following: journalists’ views about what makes a newsworthy story; their degree of scientific training; the constraints under which they work; their main sources of information; their relationships with news sources; and the impact of editorial policy. Interviews with environment correspondents reveal that relatively few possess scientific training and they tend to rely heavily upon official sources of information. The news agendas of broadcasters closely mirror that of print journalists and there is remarkable consensus concerning ‘news values’ – the taken for granted notions about what constitutes a ‘good’ news story. Having presented the main findings of the survey, the paper concludes by arguing that what is needed is greater communication between scientists, industry and journalists leading to an increased mutual recognition of the specific constraints under which they operate.

scholarly journals Perancangan Ulang Logo dan Media Promosi CV. Kinandang Putera sebagai Penguatan Identitas Visual

2018 ◽  
Vol 4 (02) ◽  
pp. 157-172
Author(s):  
Raden Muhammad Angga Darmawan ◽  
Wirania Swasty
Keyword(s):  
Visual Analysis ◽  
Visual Media ◽  
Good News ◽  
Online Media ◽  
Furniture Industry ◽  
Media Campaign ◽  
Visual Identity ◽  
The Media ◽  
The Government ◽  
Sales Increase

AbstrakSaat ini produk mebel di Indonesia sudah diakui oleh dunia dan kegiatan industri mebel di Indonesia sendiri mendapat dukungan penuh dari pemerintah dengan mengadakan pameran dan penyuluhan bagi pelaku industri mebel di Indonesia, hal ini tentu merupakan kabar baik bagi para pelaku industri mebel. Dengan besarnya jumlah masyarakat Indonesia dan perekonomian yang terus maju tentu kebutuhan mebel akan semakin meningkat. CV. Kinandang adalah salah satu penyedia jasa pembuatan produk mebel di Jakarta, namun perusahaan ini mengalami banyak masalah dengan identitas visual dan media promosinya yang menyebabkan turunnya penjualan dan menghambat kelangsungan perusahaan. Dengan melakukan pengumpulan data dengan cara wawancara, observasi dan melakukan analisis PEST, SWOT, dan analisis visual menggunakan matriks perbandingan yang akan menemukan titik masalah dan penyelesaiannya yang diharapkan akan membuat perusahaan semakin maju. Penelitian ini bertujuan untuk memperbaiki sistem identitas visual dan media promosi CV. Kinandang dengan membangun identitas visual yang baik agar mudah tertanam di benak konsumen, media promosi yang akan dirancang akan disesuaikan dengan identitas visual perusahaan dari segi warna, tata letak, konsep dan jenis hurufnya yang akan diterapkan pada media cetak dan online. Hal ini dilakukan untuk membangun citra baru pada CV. Kinandang dengan harapan akan mengeluarkan perusahaan dari masalah yang sedang dihadapi. Kata kunci : CV. Kinandang, identitas visual, media promosi, peningkatan penjualan. AbstractCurrently, furniture products in Indonesia have been recognized by the world and furniture industry activities in Indonesia itself has the full support of the government by holding exhibitions and counseling for the furniture industry in Indonesia. This is certainly good news for the furniture industry. With the large number of people of Indonesia and the economy that continues to advance the furniture needs will increase. CV. Kinandang is one of the leading providers of furniture products in Jakarta, but the company is facing a lot of problems with its visual identity and promotional media that cause sales drops and corporate unsustainability. By conducting information collection by interviewing, observing and analyzing PEST, SWOT, and visual analysis using comparison matrix which will find the point of problem and its completion which hopefully will make the company progress more. This study aims to improve the system of visual identity and promotion media CV. Kinandang by building a good visual identity to be easily embedded in the minds of consumers, the media campaign will be designed will be tailored to the company's visual identity in terms of color, layout, concepts and fonts that will be applied to print and online media. This is done to build a new image on the CV. Kinandang in the hope of expelling the company from the problem at hand. Keywords: CV. Kinandang, visual identity and promotional media, sales increase.

scholarly journals Feasibility Study of an Automated Carbohydrate Estimation System Using Thai Food Images in Comparison With Estimation by Dietitians

2021 ◽  
Vol 8 ◽  
Author(s):  
Phawinpon Chotwanvirat ◽  
Narit Hnoohom ◽  
Nipa Rojroongwasinkul ◽  
Wantanee Kriengsinyos
Keyword(s):  
Estimation Error ◽  
Weight System ◽  
Registered Dietitians ◽  
Estimation Errors ◽  
Carbohydrate Counting ◽  
Measured Weight ◽  
Food Image ◽  
Food Images ◽  
Estimation System

Carbohydrate counting is essential for well-controlled blood glucose in people with type 1 diabetes, but to perform it precisely is challenging, especially for Thai foods. Consequently, we developed a deep learning-based system for automatic carbohydrate counting using Thai food images taken from smartphones. The newly constructed Thai food image dataset contained 256,178 ingredient objects with measured weight for 175 food categories among 75,232 images. These were used to train object detector and weight estimator algorithms. After training, the system had a Top-1 accuracy of 80.9% and a root mean square error (RMSE) for carbohydrate estimation of &lt;10 g in the test dataset. Another set of 20 images, which contained 48 food items in total, was used to compare the accuracy of carbohydrate estimations between measured weight, system estimation, and eight experienced registered dietitians (RDs). System estimation error was 4%, while estimation errors from nearest, lowest, and highest carbohydrate among RDs were 0.7, 25.5, and 7.6%, respectively. The RMSE for carbohydrate estimations of the system and the lowest RD were 9.4 and 10.2, respectively. The system could perform with an estimation error of &lt;10 g for 13/20 images, which placed it third behind only two of the best performing RDs: RD1 (15/20 images) and RD5 (14/20 images). Hence, the system was satisfactory in terms of accurately estimating carbohydrate content, with results being comparable with those of experienced dietitians.

scholarly journals Leveraging machine learning and self-administered tests to predict COVID-19:An olfactory and gustatory dysfunction assessment through crowd-sourced data in India

2021 ◽  
Author(s):  
Ritesh Kumar ◽  
Maneet Singh ◽  
Prateek Singh ◽  
Valentina Parma ◽  
Kathrin Ohla ◽  
...  
Keyword(s):  
Machine Learning ◽  
Online Survey ◽  
Lemon Juice ◽  
Taste Perception ◽  
Support Vector ◽  
Health Issues ◽  
Home Test ◽  
Vector Machines ◽  
Perception Of Self ◽  
Better Than

It has been established that smell and taste loss are frequent symptoms during COVID-19 onset. Most evidence stems from medical exams or self-reports. The latter is particularly confounded by the common confusion of smell and taste. Here, we tested whether practical smelling and tasting with household items can be used to assess smell and taste loss. We conducted an online survey and asked participants to use common household items to perform a smell and taste test. We also acquired generic information on demographics, health issues including COVID-19 diagnosis, and current symptoms. We developed several machine learning models to predict COVID-19 diagnosis. We found that the random forest classifier consistently performed better than other models like support vector machines or logistic regression. The smell and taste perception of self-administered household items were statistically different for COVID-19 positive and negative participants. The most frequently selected items that also discriminated between COVID-19 positive and negative participants were clove, coriander seeds, and coffee for smell and salt, lemon juice, and chillies for taste. Our study shows that the results of smelling and tasting household items can be used to predict COVID-19 illness and highlight the potential of a simple home-test to help identify the infection and prevent the spread.

Defecting wine club members: an exploratory study

2018 ◽  
Vol 30 (3) ◽  
pp. 309-330 ◽  
Author(s):  
Sandra K. Newton ◽  
Linda I. Nowak ◽  
Mayuresh Kelkar
Keyword(s):  
Product Quality ◽  
Customer Service ◽  
Online Survey ◽  
Fair Value ◽  
Good News ◽  
Switching Behavior ◽  
Original Research ◽  
Variety Seeking ◽  
Content Type ◽  
Customer Churn

Purpose The purpose of this study is to investigate the range of explanations for why wine club members defect and move on. Design/methodology/approach This quantitative research study uses data from US wine consumers, gathered through an online survey of 399 former wine club members who had quit their membership in the recent past. Consistent with literature on customer churn rates in subscription markets, data are analyzed using descriptive statistics, factor analysis, hierarchical multiple regression and analysis of variance. Findings The results reported by respondents indicate that higher levels of perceived product quality, fair value in pricing, variety seeking and commitment to customer service at the beginning and at the end of a wine club membership lead to higher levels of customer satisfaction and a desire to recommend the club to others even after quitting. Though variety seeking is more commonplace among experienced wine drinkers, the good news for wineries is that consumers are more likely to recommend a wine club to others if at least a year has passed after they decided to quit. Practical implications The results provide implications for wine club managers seeking to improve wine club retention with suggested means for mitigating the rate of customer attrition. Originality/value This paper presents original research addressing a variety of reasons why wine club members quit. The extant research has found that factors such as product quality, fair pricing, service commitments and variety-seeking behavior affect members’ satisfaction with their wine club, as well as their desire to recommend it to others. The authors have attempted to combine all these factors into a single study to gain insight into wine club members’ switching behavior, and to find out what the wineries can do to improve customer loyalty.

Taste-responsive neurons in the nucleus of the solitary tract receive gustatory information from both sides of the tongue in the hamster

2008 ◽  
Vol 294 (2) ◽  
pp. R372-R381 ◽  
Author(s):  
Cheng-Shu Li ◽  
Limin Mao ◽  
Young K. Cho
Keyword(s):  
Chorda Tympani ◽  
Solitary Tract ◽  
Subjective Change ◽  
Left And Right ◽  
Parabrachial Nuclei ◽  
Excitatory Responses ◽  
Gustatory Information ◽  
Taste Stimulation ◽  
Inhibitory Interactions ◽  
Taste Experience

Taste receptors on the left and right sides of the anterior tongue are innervated by chorda tympani (CT) fibers, which carry taste information to the ipsilateral nucleus of the solitary tract (NST). Although the anterior tongue is essential for taste, patients with unilateral CT nerve damage often report no subjective change in their taste experience. The standing theory that explains the taste constancy is the “release of inhibition”, which hypothesizes that within the NST there are inhibitory interactions between inputs from the CT and glossopharyngeal nerves and that the loss of taste information from the CT is compensated by a release of inhibition on the glossopharyngeal nerve input. However, the possibility of compensation by taste input from the other side of the tongue has never been investigated in rodents. We recorded from 95 taste-responsive neurons in the NST and examined their responsiveness to stimulation of the contralateral CT. Forty-six cells were activated, mostly with excitatory responses (42 cells). Activation of NST cells induced by contralateral CT stimulation was blocked by microinjection of lidocaine into the contralateral NST but was not affected by anesthetization of the contralateral parabrachial nuclei (PbN). In addition, the NST cells that were activated by contralateral CT stimulation showed reduced responsiveness to taste stimulation after microinjection of lidocaine into the contralateral NST. These results demonstrate that nearly half of the taste neurons in the NST receive gustatory information from both sides of the tongue. This “cross talk” between bilateral NST may also contribute to the “taste constancy”.

scholarly journals Adapting an Online Survey Platform to Permit Translanguaging

Field Methods ◽  
2021 ◽  
pp. 1525822X2199396
Author(s):  
Alys Young ◽  
Francisco Espinoza ◽  
Claire Dodds ◽  
Katherine Rogers ◽  
Rita Giacoppo
Keyword(s):  
Online Survey ◽  
Meaning Making ◽  
Survey Methods ◽  
Target Population ◽  
Visual Media ◽  
Data Capture ◽  
Population Characteristics ◽  
Online Data ◽  
Worked Example ◽  
Study Population

This article concerns online data capture using survey methods when the target population(s) comprise not just of several different language-using groups, but additionally populations who may be multilingual and whose total language repertoires are commonly employed in meaning-making practices—commonly referred to as translanguaging. It addresses whether current online data capture survey methods adequately respond to such population characteristics and demonstrates a worked example of how we adapted one electronic data capture software platform (REDCap) to present participants with not just multilingual but translanguaging engagement routes that also encompassed multimodal linguistic access in auditory, orthographic, and visual media. The study population comprised deaf young people. We share the technical (coding) adaptations made and discuss the relevance of our work for other linguistic populations.

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