Measures of Emotion in Interaction for Health Smart Home

Kim, Minji; Cho, M. E.; Kim, J. T.

doi:10.7763/ijet.2015.v7.816

Cited by 4 publications

(3 citation statements)

References 34 publications

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“…Obtained results are presented for selected artificial intelligence techniques such as decision trees, fuzzy logic or support vector machine, and as the greatest advantages are given an accuracy at 80% and low costs. Similar approaches are shown in [ 6 , 7 ], where the influence of emotions on these systems is measured. Sensors that record video, sounds or movements are very often used in monitoring.…”

Section: Introductionmentioning

confidence: 92%

An Intelligent System for Monitoring Skin Diseases

Połap

Winnicka

Serwata

et al. 2018

Sensors

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The practical increase of interest in intelligent technologies has caused a rapid development of all activities in terms of sensors and automatic mechanisms for smart operations. The implementations concentrate on technologies which avoid unnecessary actions on user side while examining health conditions. One of important aspects is the constant inspection of the skin health due to possible diseases such as melanomas that can develop under excessive influence of the sunlight. Smart homes can be equipped with a variety of motion sensors and cameras which can be used to detect and identify possible disease development. In this work, we present a smart home system which is using in-built sensors and proposed artificial intelligence methods to diagnose the skin health condition of the residents of the house. The proposed solution has been tested and discussed due to potential use in practice.

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Section: Introductionmentioning

confidence: 92%

An Intelligent System for Monitoring Skin Diseases

Połap

Winnicka

Serwata

et al. 2018

Sensors

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“…facial action coding system, e.g. Ekman et al , 1980; Kaiser and Wehrle, 2001; Förster, 2014; Kim et al , 2015).…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Assessing visual survey protocols to capture brand-related emotional insights

Ganassali

Matysiewicz

2018

QMR

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Purpose This paper aims to present the assessment of different self-reported approaches that can be used to identify and measure consumers’ emotional responses towards brands. The goal is to determine whether visual and spontaneous protocols are able to generate deeper insights than only closed groups of scales, and to consider pictorial tools as innovative and challenging measurement techniques for brand value assessment. Design/methodology/approach Three versions of the same consumer online survey dedicated to identifying some brand-related consumer emotional insights were created to be compared in terms of quality of responses, interviewees’ evaluation and richness of insights. Findings Visual protocols provide more specific emotional responses and are considered as useful for “capturing deep contextual meanings of consumer experience”. They clearly provide deeper insights and better emotional granularity. It can be generally concluded that different emotions’ self-report measurements are adapted to some diverse research questions or situations. Research limitations/implications This paper is based on research with a limited number of participants. It focuses on the use and consumer emotional insights delivered by three tested protocols rather than detailed analysis of the specific profiles of consumers. Practical implications The authors provide some recommendations of different research techniques, which can be used to identify and measure consumers’ emotional reactions towards brands. Social implications Their paper encourages a critical reflection about researchmethods that are deployed for marketing and consumer behaviour purposes. Their work promotes a hybrid and not dogmatic approach, centred around the perception andmotivation of the respondentsmore than on the expectations of the researcher only. Originality/value Research outcomes among different self-reported protocols using internet technologies are compared. Quality of responses and richness of insights are measured in a quite innovative and comprehensive way. The paper also gives detailed recommendations to researchers interested in consumers’ emotional reactions towards brands measurements.

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“…reakcje skóry, źrenic czy tętno) i 3) obserwowane zmiany w zachowaniu (np. mimika twarzy) [Ekman, Friesen, Ancoli 1980;Kaiser, Wehrle 2001;Förster 2014;Kim, Cho, Kim 2015]. Metody samoopisujące badają subiektywne odczucia respondentów, definiowane jako świadomie odczuwane doświadczenie wyrażone przez określoną osobę [Stout, Leckenby 1986].…”

Section: Jak Uchwycić Emocje? Przegląd Głównych Metod I Technik Ich Punclassified

Wykorzystanie wizualnych protokołów badawczych w procesie pomiaru relacji konsumenta z marką – aspekt emocjonalny / Visual protocols in the process of measurement of consumer relations with brand - emotional aspekt

Matysiewicz

Ganassali²

2016

Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu

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Streszczenie: W ramach realizacji koncepcji marketingu doświadczeń firmy starają się wywołać określone silne emocje w stosunku do swoich produktów/marek u konsumentów. Ze względu na subiektywny, podświadomy często charakter tych emocji ich identyfikacja i głębsze zrozumienie, a także pomiar stają się wyzwaniem dla badaczy i analityków. W literaturze przedmiotu istnieje wiele metod i technik badawczych, które pomagają zgłębić to zjawisko, jednakże właściwy ich dobór i zastosowanie mogą stanowić wyzwanie badawcze. Celem artykułu jest porównanie i ocena wybranych protokołów badawczych stosowanych w ramach metod samoopisujących celem identyfikacji i pomiaru emocjonalnych reakcji konsumentów w odniesieniu do określonych marek. W szczególności porównane zostaną techniki wykorzystujące skalę Likerta, zdjęcia i kolaże spontanicznie dobierane w procesie badawczym przez respondentów. W artykule przedstawiono wyniki międzynarodowych badań porównawczych przeprowadzonych w Polsce i we Francji.Słowa kluczowe: wizualne protokoły badawcze, emocje, relacje konsumentów z marką. Summary:Within an experiential marketing context, companies and brands try to elicit strong emotions and affective feelings from their customers: it can be brand attachment or brand love, for example. Because they are hidden and intimate, understanding and capturing

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Measures of Emotion in Interaction for Health Smart Home

Cited by 4 publications

References 34 publications

An Intelligent System for Monitoring Skin Diseases

An Intelligent System for Monitoring Skin Diseases

Assessing visual survey protocols to capture brand-related emotional insights

Wykorzystanie wizualnych protokołów badawczych w procesie pomiaru relacji konsumenta z marką – aspekt emocjonalny / Visual protocols in the process of measurement of consumer relations with brand - emotional aspekt

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