dr. (Sophie) SC van der Zee
- Location
- Burg. Oudlaan 50, Rotterdam
- Room
- N1-05
- Telephone
- 0104081312
- vanderzee@ese.eur.nl
Profile
Dr. Sophie van der Zee is an assistant professor at the Erasmus School of Economics in Rotterdam. She is working with prof. Aurelien Baillon on his ERC starting grant "Bayesian markets for unverifiable truths", investigating how we can elicit more truthful responses from people. She combines her background in psychology and computer science to conduct research within the field of security and human behaviour. Specifically, she has specialised in the prevention and detection of dishonest behaviour, such as lying, cheating, and committing fraud. She developed a method for automatically measuring human behavior using motion capture equipment and applied this method to the context of deception detection. Recently, she conducted a study on…
Dr. Sophie van der Zee is an assistant professor at the Erasmus School of Economics in Rotterdam. She is working with prof. Aurelien Baillon on his ERC starting grant "Bayesian markets for unverifiable truths", investigating how we can elicit more truthful responses from people. She combines her background in psychology and computer science to conduct research within the field of security and human behaviour. Specifically, she has specialised in the prevention and detection of dishonest behaviour, such as lying, cheating, and committing fraud. She developed a method for automatically measuring human behavior using motion capture equipment and applied this method to the context of deception detection. Recently, she conducted a study on the use of the Concealed Information Test for intelligence gathering purposes. In addition to research on deception and dishonesty, Sophie also founded and chairs Decepticon, the first interdisciplinary conference on deceptive behavior. Previous conferences have taken place at the University of Cambridge (UK) and Stanford (US).
A relevant application area of her research is concerns the human factor in cyber, where she investigated how scammers persuade their potential victims and how people put themselves at risk by noncompliance with online banking regulations. In her most recent study, she investigates to which extent cyber awareness questionnaires are a useful tool for predicting real world cyber secure behaviour. In addition, Sophie just received a Police & Science grant to start investigating why victims of cybercrime don't tend to report their crimes to the police, and what could help to change that behavior.
- S.C. van der Zee, R.W. Poppe, P.J. Taylor & R. Anderson (2019). To freeze or not to freeze: A culture-sensitive motion-capture approach to detecting deceit. PLoS One (print), 14 (4). doi: 10.1371/journal.pone.0215000 [go to publisher's site]
- S.C. van der Zee, E.R. Leukfeldt & S. Van de Weijer (2019). Reporting cybercrime victimization: determinants, motives, and previous experiences. Policing.
- I. Hamlin, G. Wright, S.C. van der Zee & S. Wilson (2018). The Dimensions of Deception Detection: Self-reported Deception Cue Use is Underpinned by Two Broad Factors. Applied Cognitive Psychology, 32 (3), 307-314. doi: 10.1002/acp.3402
- S.C. van der Zee, R.J. Anderson & R.W. Poppe (2016). When lying feels the right thing to do. Frontiers in Psychology, 7:734. doi: https://www.frontiersin.org/articles/10.3389/fpsyg.2016.00734/full
- R. Poppe, S.C. van der Zee, P. Taylor & D. Heylen (2014). AMAB: Automated Measurement and Analysis of Body Motion. Behavior Research Methods, 46, 625-633.
- S.C. van der Zee (2018). Van top-down naar bottom-up: Hoe machine learning tot nieuwe inzichten in leugenachtig gedrag kan leiden. Stator.
- M. Theeuwes, B. van Lier, E. Wesselingh, S.C. van der Zee & K. de Heer (2017). Digitale veiligheid in de regio: Wat zou de rol van veiligheidsregio’s kunnen zijn bij cyberincidenten? Nationale veiligheid en crisisbeheersing, 15 (4), 27-29.
- S.C. van der Zee, R. van der Kleij, J. van Rest & H. Bouma (2016). Actuele ontwikkelingen in leugendetectie. Security Management, 3, 26-29.
- A. Vredeveldt & S.C. van der Zee (2017). De betekenis van consistentie in verklaringen. In Routes van het recht: Over de rechtspsychologie. Den Haag: Boom
- M. Junger, J. Kort, R. Leukfeldt, S. Veenstra, J. van Wilsem & S.C. van der Zee (2017). Victims. In Research agenda: The human factor in cybercrime and cybersecurity. The Hague: Eleven International Publishing
- P. Taylor, S. Tomblin, S. Conchie & S.C. van der Zee (2014). Cross-cultural deception detection. In Deception detection: Current challenges and cognitive approaches. Chichester: Wiley Blackwell
- H. Bouma, G. Burghouts, R. den Hollander, S.C. van der Zee, J. ten Hove, S. van Diepen, P. van den Haak & J. van Rest (2016). Measuring cues for stand-off deception detection based on full-body visual features in body-worn cameras. In SPIE proceedings 2016
- R. Poppe, S.C. van der Zee, P. Taylor & R. Veltkamp (2015). Mining bodily cues to deception. In Conference Proceedings of the Rapid Screening Technologies, Deception Detection and Credibility Assessment Symposium
- S.C. van der Zee, R. Poppe, P. Taylor & R. Anderson (2015). To freeze or not to freeze: A motion-capture approach to detecting deceit. In Conference Proceedings of the Rapid Screening Technologies, Deception Detection and Credibility Assessment Symposium
Economics of Cyber Security
- Title
- Economics of Cyber Security
- Year
- 2019
- Year level
- (bachelor 3)
Seminar Applied Behavioural Economics
- Title
- Seminar Applied Behavioural Economics
- Year
- 2019
- Year level
- (master)
Assistant Professor
- University
- Erasmus University Rotterdam
- School
- Erasmus School of Economics
- Department
- Applied Economics
- Country
- The Netherlands
- Telephone
- 0104081312
Palgrave communications
- Role
- Associate editor
- Obtained Wage
- no
- Start date approval
- Oct/2019
Address
Visiting address
Burg. Oudlaan 50 3062 PA RotterdamPostal address
Postbus 1738 3000 DR RotterdamNews regarding dr. (Sophie) SC van der Zee
"People move more when they’re lying"
Sophie van der Zee (Erasmus School of Economics) is conducting research to develop a foolproof lie detection system.