AI Artificial Intelligence
We take a human-centered approach to research the development, implementation, adoption and use of ethical and trustworthy artificial intelligence.
The search for universally accepted, ethical codes that guide machine behavior concern users, stakeholders and regulators around the world.
Due to its sheer novelty, AI faces biases related to the processing of innovation-related information as well as innovation-related beliefs.
Artificial intelligence technology demands effective means to convince consumers to trust in its capabilities and use them in everyday life.
AI offers vast benefits for individuals and society – but only if it is used and in the right way. We identify use cases that can achieve both.
We are on the forefront of consumer behavior, decision-making biases and technology adoption research.
We study consumers on an individual or group level and all the activities associated with their purchase, use and disposal of products and services – this includes the attitudinal, emotional and behavioral responses that predict these activities.
We study consumer's decisions – from simple ones, such as taking the bike to work, to very complex ones, like purchasing a new car – and build a deep understanding of the particular needs, preferences and values that decision-makers have or seek.
We study potential adopters of technology and innovations and look into the specific product and service attributes that can leverage the relative advantage, compatibility as well as simplicity – with the goal of stimulating trial and adoption by users.
Let Us Collaborate
We are always striving to advance our knowledge – as well as yours.
Kindly contact us, and we take us time to discuss your proposal.
In our spare time, we develop and maintain resources that help researchers achieve great things more easily.
Custom Model Builder for PROCESSUpdate soon
The easiest way to build and run custom models for mediation, moderation and conditional process analysis. This tool generates readily executable syntax to perform statistical analyses using Andrew Hayes' PROCESS macro.
Custom Plot Builder for SPM
Create beautiful and unique forest plots to visualize the results of internal meta-analyses. Works readily with output generated with McShane and Böckenholt's Single-Paper Meta-Analysis web app.