Vanessa Evers is a full Professor of Social Artificial Intelligence at the school of Computer Science and Engineering at the Nanyang Technological University in Singapore. She is also a full professor of Human Media Interaction at the Faculty of Electrical Engineering, Mathematics and Computer Science at the University of Twente in the Netherlands.
Vanessa Evers currently is Director of NTU’s Institute of Science and Technology for Humanity with the goal to lead multiple research centres and programs in the responsible and cohesive development of innovative technologies and cross-disciplinary research for the benefit of people.
Her research focuses on how people interact with autonomous systems such as robots or agents and cultural aspects of Human Computer Interaction. She is best known for her work in social robotics developing robots that can interpret human social behaviours and engage with people in an ongoing interaction in a way that fits the social context in which they are used, be that at a hospital, school, museum, public spaces, factories or office buildings.
She received a M.SC. in Information Systems from the University of Amsterdam, and a Ph. D. from the Open University, UK. During her Master studies she spent two years at the Institute of Management Information Studies of the University of New South Wales, Sydney. After her Ph.D. she has worked for the Boston Consulting Group, London and later became an assistant professor at the University of Amsterdam’s Institute of Informatics. She was a visiting researcher at Stanford University and has published over 150 peer reviewed publications, many of which in high quality journals and conferences in human computer interaction and human robot interaction.
My research focuses on how people interact with autonomous systems such as robots or agents and cultural aspects of Human Computer Interaction. She is best known for her work in social robotics developing robots that can interpret human social behaviours and engage with people in an ongoing interaction in a way that fits the social context in which they are used, be that at a hospital, school, museum, public spaces, factories or office buildings.
I am interested to join research projects that concern complex collaboration between people and intelligent or autonomous agents, social aspects of human robot interaction, cobots, the design of the interaction between people and machines or systems in various application areas.
I build robots that help people, to improve their lives, health and work
V. Evers, H. Maldonado, T. Brodecki and P. Hinds, “Relational vs. group self-construal: Untangling the role of national culture in HRI,” 2008 3rd ACM/IEEE International Conference on Human-Robot Interaction (HRI), Amsterdam, 2008, pp. 255-262.
why: It was a paper on a cross-cultural study of human robot team-work in collaboration with Stanford (Hinds) and Tsinghua University (Rau)
Cramer, H., Evers, V., Ramlal, S. et al. The effects of transparency on trust in and acceptance of a content-based art recommender. User Model User-Adap Inter 18, 455 (2008).
Why: This paper won the James Chen Best Paper award
David Goedicke, Jamy Li, Vanessa Evers, and Wendy Ju. 2018. VR-OOM: Virtual Reality On-rOad driving siMulation. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems(CHI ’18). Association for Computing Machinery, New York, NY, USA, Paper 165, 1–11.
Why: I am happy to get published at CHI and it is a really cool research project into a VR system to evaluate driverless cars’ autonomous behaviour
Bland, P.A., Souza Filho, C.R., Jull, A.J.T., Kelley, S.P., Hough, R.M., Artemieva, N.A., Pierazzo, E., Coniglio, J., Pinotti, L. Evers, V. Rio Quarto: a newly discovered tektite strewn field in a paraboloid dune region. Science 2002 May 10; 296: 1109-1111.
Why: It is the only Science paper that I contributed to….by finding a meteorite!
Kids conversing with a media robot, SIDN and NL Institute for Sound and Vision 2019-2021 500K (PI). Kids conversing with a media robot investigates how we can design child-robot interaction in a responsible manner: not only informative in a way that children understand and like, but also with attention to transparency, privacy and awareness about the use of artificial intelligence
DE-ENIGMA EU H2020 (RIA), Socially Assistive Robot for Children with ASD, 2016-2020, 3.6M€ (Coordinator).
The project has built a robot that interacts with children with autism and helps them learn about showing emotions. Autism affects children in many ways, particularly their communication and interaction skills: they can have difficulties recognising and understanding people’s behaviours and expressing their own emotions. Conventionally, foundational skills like emotion recognition are taught face-to-face with an adult. The EU-funded project DE-ENIGMA developed a less socially demanding and more entertaining option that uses artificial intelligence.
A change is as good as a rest!
Full Professor, School of Computer Science and Engineering, College of Engineering
Courtesy appointment, School of Social Sciences, College of Humanities, Arts and Social Sciences
Full Professor Human Media Interaction, University of Twente, The Netherlands
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