dhr. B.A.R. (Bennett) Kleinberg MSc


  • Faculteit der Maatschappij- en Gedragswetenschappen
    Programmagroep: Clinical Psychology
  • Bezoekadres
    REC G
    Nieuwe Achtergracht 129  Amsterdam
    Kamernummer: 1.42
  • Postadres:
    Postbus  15933
    1001 NK  Amsterdam
  • B.A.R.Kleinberg@uva.nl

Airport Security 2.0: Cognition-based detection of malicious intent

My research is about computer-automated cognition-based detection of verbal deception. The two key elements of this applied research project are the detection of potentially malicious intent and the large-scale applicability of deception detection tools. Although promising results from lab experiments point to the benefits of exploiting the cognitive costs involved in lying (e.g. preparing the lie; trying to develop a convincing story), these approaches are limited in (one of) two ways. On the one hand, they focus predominantly on the detection of past events whereas security and intelligence practitioners are often interested in the future (i.e. the false or malicious intent of a person). On the other hand, many research paradigms on verbal deception rely on interview settings making these approaches less suitable for large-scale implementations like passenger screening at an airport.

I try to intengrate and further develop verbal deception paradigms to apply them in a problem-specific context (e.g. airports). The aim of this project is to synthesise verbal deception detection tools (e.g. Verifiability Approach) and advanced interviewing techniques (e.g. the strategic use of evidence) in a fast, automated, algorithmic system for large-scale implementation. Applied aims are the prevention of terroristic attacks and other security-related problems. In this project I adopt the crime science philosphy of a cross-disciplinary approach consisting of cognitive sciences, computational linguistics, artificial intelligence, and statistical modeling.

 

Reaction time-based deception detection

I am also interested in reaction times as an approach to memory detection. Specifically the reaction time-based Concealed Information Test and the autobiographical Implicit Association Test are promising tools. I have developed a framework to run experiments with these paradigms efficiently and reliable via standard web-browsers.
If you are interested in working with this approach, please email me or have a look at my websites. We have a small team of enthusiastic programmers to help you achieve this.

Brief CV

 

  • 2015 - present: Doctoral Researcher, University of Amsterdam
  • 2014 - 2015 Master of Science (MSc) in Crime Science; University College London. Graduated with highest honours (Dutch: cum laude; GB: Distinction)
  • 2012 - present: Research Assistant at Bruno Verschuere’s LieLab, University of Amsterdam
  • 2010 - 2014: Bachelor of Science (BSc) in Psychology; Specialisation in Psychological Methods; University of Amsterdam. Graduated with highest honours (Dutch: cum laude; GB: First class).

I am teaching the following modules:

 

  • Lie and Deception Detection (Research Master elective)
  • Supervision of Master’s dissertations
  • Supervision of Bachelor's theses (mainly from Clinical Psychology at UvA)
  • Supervision of research internships (throughout the year)

 

Dissertation, thesis, internship?

If you are interested in my research in the form of a thesis, dissertation or an internship, please write me an email.

--> There are several interesting internship possibilities for 2016/2017 (ranging from experimental lab research to machine learning implementation). Get in touch if you're interested.

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