Customer Experience: Die Messung und Interpretation von Emotionen im Dialogmarketing

Emotionen sind Teil jedes menschlichen Wesens: Sie begleiten Konsumenten und Konsumentinnen durch alle Alltagssituationen – auch und insbesondere bei Kaufentscheidungen. Jedoch war es bisher nur bedingt möglich, diese Emotionen im Dialogmarketing genau zu erfassen und zu interpretieren. Die innovative Customer Experience Tracking Methode der Hochschule Offenburg ermöglicht eine verzerrungsreduzierte Messung und Auswertung von Kundenemotionen, die vor, während und nach der Benutzerinteraktion mit Dialogmarketingaktivitäten auftreten. Aus den im Labor oder im Feld gewonnenen Untersuchungsergebnissen lassen sich konkrete Handlungsempfehlungen ableiten, um Dialogmarketingangebote im Offline-, Online- oder crossmedialen Bereich optimal auf die Bedürfnisse und Erwartungen der Kunden und Kundinnen auszurichten

Design and evaluation of tapped inductors for high-voltage auxiliary power supplies for modular multilevel converters

Tapped-inductor buck converters can provide large step-down ratios at high efficiency and are well suited in auxiliary power supplies for modular multilevel converter cells supplying gate drive units etc. In this paper the design and testing of three low-leakage tapped inductors for use in a 3kV, 100W buck converter is described.QC 20121129</p

The Role of Age and Occupational Future Time Perspective in Workers’ Motivation to Learn

The purpose of this paper is to better understand the relationship between employees’ chronological age and their motivation to learn, by adopting a lifespan perspective. Based on socioemotional selectivity theory, we suggest that occupational future time perspective mediates the relationship between age and motivation to learn. In accordance with expectancy-value and self-efficacy theories, motivation to learn was operationalized as employees’ learning motivational beliefs (i.e., learning self-efficacy and learning value). To test our model, survey data were obtained from 560 workers between the ages of 21 to 64 years. Results demonstrated the importance of taking workers’ occupational future time perspective into account to explain relationships between age and learning motivational beliefs

Emotion and Attitude Modeling for Non-player Characters

International audienc