Projects Overview

You can filter the research projects by topic, contact person and year.

Peer-reviewed

Peer-reviewed

2021-05

The development of an approach for appraisal inference from automatically detected Action Unit intensities in recordings of human faces.

Peer-reviewed

2021-01

We empirically tested the relationship between emotion expression, inferences, and facial expressions.

Peer-reviewed

2020-09

Users upload >350 million photos per day to Facebook. Which information about peoples’ brand preferences can we get from those photos?

Peer-reviewed

2020-03

Voice assistants are becoming more humanoid and emotional: Do consumers catch the expressed emotion of voice assistants while shopping?

Peer-reviewed

2020-01

How does making purchasing decisions in a virtual environment differ from shopping online and shopping in a brick-and-mortar store?

Peer-reviewed

2019-11

In Web 2.0, users increasingly exchange their product opinions. How can we automatically analyze this abundance of information?

Peer-reviewed

2019-04

We developed an evaluation metric for automatically generated descriptions of consumer-brand-interactions in social media images.

Peer-reviewed

2019-04

Analytical solution for one-dimensional factor analysis to support theoretical considerations in modelling of latent constructs in marketing

Peer-reviewed

2019-03

Social media pictures contain lots of information about consumer-brand-interactions. How can they be recognized and characterized ...

Peer-reviewed

2019-03

To enable recording of visual brand contacts across media boundaries, René Schallner and Dr. Carolin Kaiserare developing ...

Peer-reviewed

2019-03

We empirically investigate the facial action unit configurations that are used by actors to convey specific emotions.

Peer-reviewed

2018-10

The web 2.0 grows in shared costumer product experiences. How can this valuable information for companies automatically be analyzed?

Peer-reviewed

2018-04

Our approach derives human-brand-interactions directly from social media photos. Can we also capture their emotional context?

Peer-reviewed

2017-10

Social media pictures are highly interesting for companies to understand their customer. How can the sentiment of a picture be estimated?

Peer-reviewed

2017-09

More photos featuring products and brands are shared on social media. What do these photos say about attitudes and feelings toward brands?

Peer-reviewed

2017-05

In times of digitized markets new data sources are required in market research. How can we use pictures to gain market information?

Peer-reviewed

2017-03

We present a novel system for recognizing emotional arousal from voice.

Peer-reviewed

2016-11

We show that perception of trust-related characteristics strongly depends on the nationality of the other individual.

Peer-reviewed

2016-09

More and more photos featuring products and brands are shared on social media. What do these photos say about people’s brand experiences?

Peer-reviewed

2016-08

More and more photos featuring products and brands are shared on social media. What do these photos say about attitudes and feelings toward

Peer-reviewed

2016-05

A multitude of photos is posted each day on social media. How can we analyze them to gain information about the temporal development of ...

Peer-reviewed

2015-04

With the help of CI group performance can be predicted. In this paper, we introduce a new standardized online battery to measure CI.

Peer-reviewed

2014-06

User generated pictures online provide potential information about consumer-brand-relationships. Can these automatically be characterized?

Peer-reviewed

2014-01

Social media enable consumers to interactively design content on the Internet and facilitate a paradigm shift in the consumer-producer ...

2 of 4