Search results for "Online"

showing 10 items of 4526 documents

Empiirinen tutkimus brändikokemuksen vaikutuksesta verkkokauppaympäristöjen käyttäjäkokemukseen ja käyttöaikeeseen

2015

Tutkielmassa tarkasteltiin brändikokemuksen vaikutusta verkkokauppaympäristöjen käyttäjäkokemukseen ja käyttöaikeeseen. Brändikokemusta tarkasteltiin kahden ulottuvuuden kautta: brändityytyväisyyden ja brändiluottamuksen. Käyttäjäkokemusta tarkasteltiin käytännöllisten (frustraation, kompetenssin ja hallinnan tunteen) ja esteettisten (kauneuden ja mielikuvituksettomuuden) tunteiden näkökulmista. Brändikokemuksen vaikutusta verkkokauppaympäristöjen käyttäjäkokemukseen ja käyttöaikeeseen tutkittiin kahdessa kokeellisessa tutkimuksessa. Tutkimukset toteutettiin osana Jyväskylän yliopiston käyttäjäpsykologian laboratoriossa tehtyä verkkokauppaympäristöjen käyttäjäkokemusta käsittelevää tutkimus…

bränditbrandsverkkokauppauser experienceonline storeluottamusteknologiaasiakaskokemusempirical researchemotional stateEmpiirinen tutkimuskäyttäjäkokemus
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Exploring the elements for value co-creation in consumer information systems in B2B context : a case study on the business event industry

2014

Tämä tutkielma tarkastelee arvon yhteisluontia verkkopalvelussa B2B-kontekstissa käyttäen tutkimuksen toimialana kaupallisia seminaareja ja koulutuksia. Viitekehyksenä tutkimuksessa käytetään arvon yhteisluonnin mallia kuluttajatietojärjestelmissä (CIS), jolla nähdään ammatillisten seminaarien ja koulutusten järjestäjien ja osallistujien (n=22) arvoja ja motivaatioita tapahtumiin osallistumiseen sekä tutkitaan myös mitkä ominaisuudet koetaan tarpeelliseksi toimialan tapahtumien promootioon perustuvaan verkkopalveluun. Tutkimuksen tavoitteena on tunnistaa arvon yhteisluonnin elementit sekä mahdollisia eroavaisuuksia verkkopalvelun B2B-käyttäjän käyttötarpeissa sekä järjestelmän käyttökokemuk…

business-to-businessonline servicebusiness event industryconsumer information system (CIS)tapahtumatuotantotapahtumatbusiness seminars and trainingsB2B contextvalue co-creationverkkopalveluttietojärjestelmät
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On the use of generalized harmonic means in image processing using multiresolution algorithms

2019

In this paper we design a family of cell-average nonlinear prediction operators that make use of the generalized harmonic means and we apply the resulting schemes to image processing. The new famil...

business.industryApplied MathematicsHarmonic meanStability (learning theory)Image processing010103 numerical & computational mathematics01 natural sciencesNonlinear predictionComputer Science Applications010101 applied mathematicsComputational Theory and Mathematics0101 mathematicsbusinessAlgorithmNonlinear operatorsSubdivisionMathematicsInternational Journal of Computer Mathematics
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POLITICS, ACTIVISM AND TROLLING ON THE RUSSIAN INTERNET

2020

In the years that have passed since the social media powered protest movement of 2011-2012, the Russian government has dramatically expanded its restrictions on the Internet, while simultaneously consolidating its grip on traditional media. The Internet, which long provided a space for alternative media and free speech to blossom, is becoming increasingly restricted by a growing corpus of legislation and expanding state surveillance. With legally ill-defined prohibitions on, e.g., offending the feelings of religious believers, propagating 'non-traditional family values' and disseminating 'extremism' in place, online freedom of speech in Russia is at threat. Meanwhile, the Russian state cont…

business.industryAuthoritarianismGeneral EngineeringOpposition (politics)Media studiesAlternative mediaLegislation16. Peace & justicePoliticsOnline politicsPolitical scienceThe InternetSocial mediabusinessAoIR Selected Papers of Internet Research
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Nonlinear radial-harmonic correlation using binary decomposition for scale-invariant pattern recognition

2003

We introduce a new scale-invariant pattern-recognition method that uses nonlinear correlation. We applied several common linear correlations to images decomposed into disjoint binary images, which is very discriminant even when the target is embedded in strong noise. We combine our sliced orthogonal nonlinear generalized correlation method and the radial-harmonic expansion in order to achieve scale-invariant pattern recognition. The information from a radial harmonic for each binary slice of the reference object is combined with binary slices of the target. The method avoids the time-consuming process of finding expansion centers for the radial harmonics. The stability of the correlation pe…

business.industryBinary imageBinary numberPattern recognitionScale invarianceAtomic and Molecular Physics and OpticsElectronic Optical and Magnetic MaterialsBackground noiseNonlinear systemsymbols.namesakeNoiseOpticsGaussian noiseHarmonicsymbolsArtificial intelligenceElectrical and Electronic EngineeringPhysical and Theoretical ChemistrybusinessMathematicsOptics Communications
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Visible-NIR reflectance spectroscopy and manifold learning methods applied to the detection of fungal infections on citrus fruit

2015

Abstract The development of systems for automatically detecting decay in citrus fruit during quality control is still a challenge for the citrus industry. The feasibility of reflectance spectroscopy in the visible and near infrared (NIR) regions was evaluated for the automatic detection of the early symptoms of decay caused by Penicillium digitatum fungus in citrus fruit. Reflectance spectra of sound and decaying surface parts of mandarins cv. ‘Clemenvilla’ were acquired in two different spectral regions, from 650 nm to 1050 nm (visible–NIR) and from 1000 nm to 1700 nm (NIR), pointing to significant differences in spectra between sound and decaying skin for both spectral ranges. Three diffe…

business.industryChemistryDimensionality reductionFeature vectorNear-infrared spectroscopyNonlinear dimensionality reductionLinear discriminant analysisSammon mappingOpticsPrincipal component analysisbusinessSpectroscopyBiological systemFood Science
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Nonlinear data description with Principal Polynomial Analysis

2012

Principal Component Analysis (PCA) has been widely used for manifold description and dimensionality reduction. Performance of PCA is however hampered when data exhibits nonlinear feature relations. In this work, we propose a new framework for manifold learning based on the use of a sequence of Principal Polynomials that capture the eventually nonlinear nature of the data. The proposed Principal Polynomial Analysis (PPA) is shown to generalize PCA. Unlike recently proposed nonlinear methods (e.g. spectral/kernel methods and projection pursuit techniques, neural networks), PPA features are easily interpretable and the method leads to a fully invertible transform, which is a desirable property…

business.industryCodingDimensionality reductionNonlinear dimensionality reductionDiffusion mapSparse PCAComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONElastic mapPattern recognitionManifold LearningClassificationKernel principal component analysisComputingMethodologies_PATTERNRECOGNITIONPrincipal component analysisPrincipal Polynomial AnalysisArtificial intelligencePrincipal geodesic analysisbusinessDimensionality ReductionMathematics
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Too much information!? Examining the impact of different levels of transparency on consumers’ evaluations of targeted advertising

2019

Online behavioral advertising is widely employed across the Internet. To mitigate the lack of transparency in tailored advertising and increase the acceptance of behavioral advertising, numerous pl...

business.industryCommunication05 social sciences050801 communication & media studies050109 social psychologyAdvertisingTransparency (behavior)0508 media and communicationsOnline behavioral advertisingTargeted advertisingBehavioral targeting0501 psychology and cognitive sciencesThe InternetbusinessPsychologyComputingMilieux_MISCELLANEOUSCommunication Research Reports
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Interlacing multiplexing techniques for optical morphological correlation

2006

We propose a novel approach to implement nonlinear morphological correlation. Previous implementation was based on a time sequential approach that consists on displaying different binary image decomposition in a joint transform correlator adding each joint power spectra sequentially. A second Fourier transformation of the sum of joint power spectra gives the correlation output. In this paper, we propose to interlace the different binary images into one single distribution. Then, we introduce the distribution in a conventional joint transform correlator. The correlation output gives the morphological correlation at a specific location. The advantage is important considering that no sequentia…

business.industryComputer scienceBinary imageInterlacingMultiplexingAtomic and Molecular Physics and OpticsSpectral lineElectronic Optical and Magnetic MaterialsPower (physics)Nonlinear systemsymbols.namesakeOpticsFourier transformPattern recognition (psychology)symbolsElectrical and Electronic EngineeringPhysical and Theoretical ChemistrybusinessJoint (audio engineering)Optics Communications
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Taking Online Search Queries as an Indicator of the Public Agenda

2016

Recently, several studies suggested that the amount of online search queries can be used as an indicator of the public agenda. Based on former research by the authors, this article discusses the role of public uncertainty as another factor influencing search queries. Therefore, the influence of media coverage on Wikipedia searches concerning two issues is compared: one issue with uncertainty (the Enterohaemorrhagic Escherichia coli [EHEC] epidemic), and one without uncertainty (unemployment). Analyses show much stronger correlations in the case of EHEC, which suggests that online search behavior may especially be used as an indicator of the public agenda in case public uncertainty exists.

business.industryComputer scienceCommunication05 social sciences050801 communication & media studiesAdvertising0506 political scienceDigital mediaWorld Wide Web0508 media and communicationsContent analysisOnline search050602 political science & public administrationbusinessJournalism & Mass Communication Quarterly
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