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How are online visibility and the perception of brand purpose related?
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What does the ideal digital shopping companion look like from the consumers' perspective?
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How can recommendation systems be designed with social robots in a way that they are perceived as useful by customers?
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This projects studies how interactions with a social robot, designed to emulate human shopping assistants, impact consumer decisions.
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This project explores how product presentation such as filters, sorting, and sponsored content impact shopper's choices.
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This study investigates how tourists perceive tourism recommendations provided via social robots.
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The impact of robo-advisors' anthropomorphism and attention cues on consumer trust and investment decisions.
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Voice assistants are becoming more humanoid and emotional: Do consumers catch the expressed emotion of voice assistants while shopping?
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The aim of our research project is to analyze the influence of the tone of artificial voices on consumer decisions.
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Users upload >350 million photos per day to Facebook. Which information about peoples’ brand preferences can we get from those photos?
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Voice assistants are becoming more humanoid and emotional: Do consumers catch the expressed emotion of voice assistants while shopping?
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In Web 2.0, users increasingly exchange their product opinions. How can we automatically analyze this abundance of information?
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On Web 2.0, users are increasingly sharing their product opinions. How can we automatically analyze this huge amount of information?
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The lavish party with friends, the holiday on the beach, the newly acquired smartphone – all of this is captured on camera and shared via...
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In social media, photos are at least as important as text. On Facebook alone, members upload an average of 350 million images every day....
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We developed an evaluation metric for automatically generated descriptions of consumer-brand-interactions in social media images.
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Social media pictures contain lots of information about consumer-brand-interactions. How can they be recognized and characterized ...
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To enable recording of visual brand contacts across media boundaries, René Schallner and Dr. Carolin Kaiserare developing ...
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The web 2.0 grows in shared costumer product experiences. How can this valuable information for companies automatically be analyzed?
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A multitude of photos is posted each day on social media. How can we analyze them to gain information about the temporal development of ...
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Our approach derives human-brand-interactions directly from social media photos. Can we also capture their emotional context?
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Social media pictures are highly interesting for companies to understand their customer. How can the sentiment of a picture be estimated?
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More photos featuring products and brands are shared on social media. What do these photos say about attitudes and feelings toward brands?
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More and more photos featuring products and brands are shared on social media. What do these photos say about people’s brand experiences?
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