Ricardo Buettner
FOM University of Applied Sciences for Economics and Management
Human–computer interactionDeep learningMachine learningBusinessArtificial intelligencePsychologyRandom forestNegotiationPerspective (graphical)Data scienceWorkloadQuality (business)Big Five personality traitsComputer scienceProcess (engineering)Social mediaElectroencephalographyAudiologyEye trackingKnowledge managementConvolutional neural network
68Publications
23H-index
1,247Citations
Publications 47
Newest
#1Ricardo Buettner (FOM University of Applied Sciences for Economics and Management)H-Index: 23
Last. Patrick Ulrich (University of Bamberg)H-Index: 11
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#1Jan GrossH-Index: 1
Last. Ricardo BuettnerH-Index: 23
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#1Daniel SauterH-Index: 3
Last. Ricardo Buettner (FOM University of Applied Sciences for Economics and Management)H-Index: 23
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#1Patrick Ulrich (University of Bamberg)H-Index: 11
Last. Ricardo Buettner (FOM University of Applied Sciences for Economics and Management)H-Index: 23
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#1Ricardo BuettnerH-Index: 23
#2Annika GrimmeisenH-Index: 1
Last. Anne GotschlichH-Index: 1
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17 CitationsSource
#1Ricardo BuettnerH-Index: 23
#2David BeilH-Index: 1
Last. Aadel DjemaiH-Index: 1
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19 CitationsSource
#1Ricardo BuettnerH-Index: 23
#2Sebastian SauerH-Index: 16
Last. Andreas EckhardtH-Index: 24
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22 CitationsSource
#1Ricardo BuettnerH-Index: 23
17 CitationsSource
Abstract. Mindfulness refers to a stance of nonjudgmental awareness of present-moment experiences. A growing body of research suggests that mindfulness may increase cognitive resources, thereby buffering stress. However, existing models have not achieved a consensus on how mindfulness should be operationalized. As the sound measurement of mindfulness is the foundation needed before substantial hypotheses can be supported, we propose a novel way of gauging the psychometric quality of a mindfulnes...
19 CitationsSource
Determining a user’s preferences is an important condition for effectively operating automatic recommendation systems. Since personality theory claims that a user’s personality substantially influences preference, I propose a personality-based product recommender (PBPR) framework to analyze social media data in order to predict a user’s personality and to subsequently derive its personality-based product preferences. The PBRS framework will be evaluated as an IT-artefact with a unique online soc...
59 CitationsSource