Peer-reviewed

Social media monitoring: What can marketers learn from Facebook brand photos?

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

Artificial Voices in Human Choices

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

How virtual reality affects consumer choice

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

Detecting Opinion Leaders and Trends in Online Social Networks

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

Image captioning with clause-focused metrics in a multi-modal setting for marketing

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

Analytical Closed-Form Solution for General Factor with Many Variables

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

Revealing Consumer-Brand-Interactions from Social Media Pictures – A Case Study from the Fast-Moving Consumer Goods Industry

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

Mobile Detection of Visual Brand Touchpoints

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

Dynamic facial expression of emotion and observer inference

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

Mining Customer Experience on the Web 2.0

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

Multimodal image captioning for marketing analysis

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

Visual and textual sentiment analysis of brand-related social media pictures using deep convolutional neural networks

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

Are Facebook brand pictures a sign of brand love? – A study on visual eWOM

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

Digitalization and the value of new (meta) data sources for market insights: How increasing options and new decision requirements can impact the market research value chain

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

Automatic multi-lingual arousal detection from voice applied to real product testing applications

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

On Trust in Honesty and Volunteering among Europeans: Cross-Country Evidence on Perceptions and Behavior

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