Human behaviour and organisational innovation
We develop and apply knowledge in the field of social innovation. On the one hand, the focus lies on interventions for behavioural change to accelerate the acceptance of 'new' behaviour by customers and citizens. On the other hand, we examine (online) ways of cooperating in coalitions. We research success and failure factors as well as the design of management and control in cross-organisational partnerships.
Human behaviour and organisational innovation helps organisations to cooperate more effectively at user, organisation and chain levels. We focus on two aspects:
- the development and optimisation of influence strategies for measures and decisions geared to the preferred behaviour of target groups. What interventions ensure the adoption of sustainable behaviour among consumers or independence among citizens? How do we maintain the upper hand over crowds in situations that threaten to get out of hand, also during foreign military missions?
- the design and facilitation of cooperation processes between industry, government, citizens and consumers. From a scientific starting point we examine how cooperation and decision-making come about and how a networked partnership functions best. We use the possibilities for future internet technology, like social media, to involve people and boost adoption.
We focus on influencing human behaviour using technology, with the realisation that:
- Behaviour tends to be unconscious and set in habits, making interventions (more) difficult.
- Behaviour is socially determined to a large extent – in addition to individual experiences, standards, motivators, etc. people are highly driven by their social context.
We study the influence of technology on behavioural change: online environments can release enormous social forces, as during the Arabian Spring. New platforms emerge to further shape social experiences and influence opinion. Armed with this knowledge we have a powerful tool for (or against!) behavioural change. Such tools include:
- Customer experience model: explanation for retention, churn and customer behaviour
- User experience framework: measurement and control by customer value and temptation
- Behaviour models: behavioural interventions, using ICT possibilities
Societal challenges in areas like energy, mobility and security are so complex that government, industry, citizens and consumers have to cooperate in order to solve them. Our expertise is the facilitation of networked, cross-organisational partnerships that require a base for (online) cooperation, management & control. Like crisis management, network management of infrastructure such as waterways, roads and rail, trans-sectoral partnerships in providing a renewable energy supply. Recommendations are geared to the organisation of (online) cooperation through facilitating the base and structuring the process.
Examples of our methods are:
- Integral approach to the New Way of Working: ICT, organisation, workplace and culture
- Online co-creation: cooperating on a large scale, independent of time and place
- Integrated Command Environment: decision-making, adaptive teams, interfaces and workload
Anita CremersFunctie:Researcher Human-Computer Interaction
Hans van den BroekFunctie:Senior Research Scientist
Jelte BosFunctie:Professor Vestibular Motion And Orientation Perception
The organs of balance are at the basis of our vestibular system, playing a major role in motion and orientation perception, and the control of our body, head and eye movements. To optimize this perception and control, our central nervous system integrates the information from the organs of balance with that of the eyes and other senses, as well as with cognitive information.
José KerstholtFunctie:Professor Behavioral Decision Making
My research area is human decision making in the context of safety. A main finding in this field is that human decision making skills are far from optimal. Most of our decisions are made intuitively, based on incomplete knowledge, and with limited reflection. Despite these insights however, decision makers themselves are generally quite confident about the accuracy of their decisions.
Mark NeerincxFunctie:Professor Human-centered Computing
Progress in artificial intelligence (AI), robotics, conversational agents, connectivity and sensing technology increases the capabilities of physical and virtual agents to operate more and more autonomously, possibly as team members, companions or partners of humans. However, the information and decision-making processes of these agents differ from human’s processes fundamentally.
Peter WerkhovenFunctie:Chief Scientific Officer
My research and teaching activities are about human perception and interaction in computer simulated worlds, focusing on tactile and brain-computer interfaces for navigating simulated worlds; effect, stress and body ownership in augmented reality; and meaningful control of autonomous intelligent systems.
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