Features

Some members have been graduating while being active in the AI Design Competence Collective.
Find a selection of research features/papers on issues addressing the current state-of-the-art and beyond of AI in enabling design innovation.

Occasional Commerce and AI based Design Innovation are the Savior of Fashion and Commercial Real Estate?

2019
AI Design Competence for more customer experience through better conceptualized occasional commerce strategies
(AI for designing future malls).

Occasional Commerce – Customers shop online and offline.
So what is the relevance of stores in the marketing mix and how can AI (advanced analytics and metrics) be used to streamline and increase the efficiency with better conceptualized shops, malls and commercial real estate.

The following research provides answers to these questions.

Creative and Emotion Sensing Technologies

2019
Emotion Sensing Technologies that track/read, interpret and respond to emotions are about to be fully integrated into our daily lives. These systems have huge potentials but also pose difficult challenges, these are sketched in this thesis…

Mindful Lifestyle and Leadership

2019
In a world of digitalization, globalization, connectivity and mobility, people long for something that makes sense. A mindset that is based on more mindfulness, deceleration and more focus. In this thesis main elements and practices of ‘mindful lifestyle and leadership’ are being scrutinized.

Personal Fitness 2.0 – Artificial Intelligence, Smart Clothing and the Challenges and Opportunities in the Disruption of Industries

2019
The bachelor thesis scrutinizes the disruptive dynamics of the technologies Smart Clothing and Artificial Intelligence (AI) for the area of Personal Fitness, with the intention to show the development of this field towards a technologically advanced field Personal Fitness 2.0, which is driven by the use of Smart Clothing and Artificial Intelligence.

Gender Discrimination on steroids via AI

2019
The bachelor thesis deals with the discrimination potential of Machine Learning Algorithms within Decision – Support – Systems (DSS), which are increasingly used in German companies. The specialization is in the areas of recruiting and marketing. The concrete goal of the work was to find out whether AI-based systems reinforce gender discrimination or not.