NIM Academic Papers

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?

Analyzing the temporal development of brand-related social media photos

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

Multimodal image captioning for marketing analysis

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

How valid are response-time measures for capturing implicit brand attitudes?

With the advent of neuroscientific approaches in marketing and consumer research, implicit processes—processes consumers may not be aware of...

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.

Automatic analysis of facial expressions in an advertising test with Chinese respondents

An automatic system designed to infer valence (positive or negative feeling) from facial expressions, EMO Scan, was employed and evaluated...

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.

Gaining marketing-relevant knowledge from social media photos - A picture is worth a thousand words

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

Are Facebook brand pictures a sign of brand love?

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

What photos reveal: Recognizing consumer brand relationships from social media photos

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

Using logit on big data

Combination of analytical solutions for logit models including (sign) restrictions and constraints.

Brand preferences modulate neural activity during expectation and evaluation of an uncertain reward

Humans may differ remarkably in their preferences for objectively similar rewards. Brand preferences, for instance, largely account for...

Improving signal detection in software-based facial expression analysis

Algorithmic and equipment-based procedures for emotion detection are often afflicted by measurement error or signal noise. In this paper, we...

Collective intelligence in computer-mediated collaboration emerges in different contexts and cultures

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

Characterizing consumer-brand-relationships in social media pictures 

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