Research

Intergo takes its social responsibility by contributing to the development of scientific knowledge in the field of Human Factors. The contribution concerns themes with great social relevance, and can consist of direct funding of research at universities or institutes, by supervising graduates and trainees, or by making our knowledge or client system available to research lines. To this end, we will collaborate with leading universities / institutes. The results of this research will of course become publicly available, for example in scientific publications.

We have defined 3 lines of research:

  1. Workload
  2. Neurosafety
  3. Humane incident investigation

1. Workload

In recent years, Intergo has already distinguished itself in the field of workload (see http://www.mentalworkload.com). In particular through our integrated model, and by translating task requirements not only into time occupancy, but also into task complexity. In times of increasing automation, we want to offer people-worthy tasks (based on good employership, but also based on performance). That is why it is time to add a third dimension to our workload model: job satisfaction. What makes a task fun?

Partner: Applied Cognitive Psycholigy, Utrecht University.


2. Neurosafety

Everyone knows examples from marketing and TV programs such as Mindf*ck in which behaviour is 'steered'. But can we apply these principles to provoke safe and effective behavior? This can involve influencing behaviour through group dynamics, as well as (preferably) by designing the environment. This topic fits well with all attention to safety (culture).

Partner: Industrial Design Engineering, Delft University of Technology.


3. Human-worthy incident investigation

Apart from specific incident investigation methods (Tripod, Prisma, IncidentXP, ...), we want to design an investigation process in which Human Factors is given a recognisible role, so that a human error is not the conclusion but the beginning of the investigation. This humane incident investigation should not only pay proper attention to the human factor in terms of content, but also guarantee respectful interaction with all involved in the process. So a HF analysis tool needs to be developed, with interfaces to existing incident investigation methods, and with soft skills to perform the analysis. With this we will do justice to figures that indicate that human error is responsible for 60-90% of all incidents. The research line must lead to a better product, better training and better implementation in the field.