In the age of Industry 4.0, with increasing digitization of industry, the amount of operation and maintenance data delivered to the industrial control room operator grows manifold. In the scope of a PhD project, we are working with the problem of information overload.
Visuella metoder styr betraktaren Photo credit Veronika Domovavisuella metoder styr betraktaren Photo credit Veronika DomovaThe research has two major directions. The first direction is towards creating domain-specific big data visualizations.

The major principle that underpins this study is focal/peripheral data visualization which incorporates visual methods to guide and focus the user’s attention on the most important information.

 The second direction is towards looking for alternative data visualization means, e.g. tangible devices and augmented reality, that can potentially unload the visual and cognitive pressure of the user. 


External partner

ABB Corporate Research

employer for industrial PhD


Cover of publication ''
Veronika Domova, Goranka Zoric (2017)

2017 IEEE 26th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE) , s.185-190 Continue to DOI

Cover of publication ''
Veronika Domova, Maria Ralph, Elina Vartiainen, Alvaro Aranda Muñoz, Adam Henriksson, Susanne Timsjö (2017)

Proceedings of the European Conference on Cognitive Ergonomics 2017 , s.162-168 Continue to DOI

WASP research at MIT


Our research environment is located at the division of Media and Information Technology on Campus Norrköping. Our work draws on 20 years of research, focusing on visualization and interaction in the context of AI, autonomous systems and software.