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Home › Polygraph Research › Researchers › Hartmut Blank

Researcher file

Hartmut Blank

Cognitive approaches to deception detection and false memory research

4Studies
2013–2026Active period
4Co-authors
3Research areas
3Journals

Researcher record

NameHartmut Blank
AffiliationUniversity of Portsmouth — United Kingdom
Publications4 peer-reviewed studies in this database
Active period2013–2026
Research focusCognitive approaches to deception detection and false memory research

About Hartmut Blank

Hartmut Blank is a Reader (senior Associate Professor) in the Department of Psychology at the University of Portsmouth, specializing in memory, cognitive psychology, and social psychology. His verified academic email is at the University of Portsmouth, though he is no longer listed on the current university staff directory, suggesting he may have retired or moved institutions. His broader research portfolio includes extensive work on hindsight bias, false memories, and eyewitness testimony.

Blank's most significant contribution to deception detection science is his collaboration on cognitive approaches to lie detection. His 2017 meta-analysis with Aldert Vrij and Ronald P. Fisher demonstrated that cognitive lie detection methods—including imposing cognitive load, encouraging interviewees to say more, and asking unexpected questions—produced superior accuracy in truth detection (67%), lie detection (67%), and total detection (71%) compared to traditional approaches (56%). This influential study established the empirical foundation for cognitive load theory in deception detection, showing that mental effort can amplify differences between liars and truth-tellers. He has also researched forced choice memory performance testing and strategy selection in deception contexts.

While Blank is not primarily a polygraph researcher, his work has been cited over 2,500 times, reflecting substantial influence in forensic psychology and credibility assessment. His collaboration with Aldert Vrij through the International Centre for Research in Forensic Psychology at Portsmouth has been particularly productive. He has also collaborated internationally on false memory research with institutions including Johannes Gutenberg Universität Mainz in Germany.

Blank's deception detection work connects to his broader expertise in cognitive psychology and memory science. His research on false autobiographical memories has important forensic implications, and his meta-analytic work on post-event misinformation shows that warnings can reduce the misinformation effect to less than half its size. This interdisciplinary approach—linking memory distortion, cognitive load, and strategic interviewing—positions his deception research within a comprehensive understanding of how cognitive processes affect credibility assessment.

Research methodology profile

Meta-Analysis · 2 Laboratory · 1

Research areas

Verbal & Behavioral Deception Detection 2 Neuroimaging & New Technologies 1 Meta-Analyses & Systematic Reviews 1

Co-author network

Researchers who have co-authored studies with Hartmut Blank.

Publications [4]

All peer-reviewed studies by Hartmut Blank in our database.

[001] 2026 Science, Technology & Human Values

Modes of visual framing in neuropsychological deception detection research

German neuropsychologists demonstrate notable methodological restraint in brain-based deception detection research, with researchers warning about AI-based approaches lacking transparency and theoretical foundations. Neuroimaging & New Technologies
[002] 2018 Legal and Criminological Psychology

A re-analysis that supports our main results: A reply to Levine et al.

The three criticisms were systematically refuted: cell-averaging does not constitute statistical confounding; control condition accuracy rates were not aberrant when compared to published benchmarks; and the correlation between supposedly unreliable… Verbal & Behavioral Deception Detection Meta-Analysis
[003] 2016 Cheating, corruption, and concealment: The roots of dishonest behavior

A cognitive approach to elicit nonverbal and verbal cues of deceit

The cognitive approach produces superior detection accuracy (71% total detection) compared to traditional passive observation methods (56%), with techniques including reverse order recall, model statements, and unanticipated questions effectively amplifying… Verbal & Behavioral Deception Detection Laboratory
[004] 2013 • COGNITIVE LOAD Legal and Criminological Psychology

Imposing Cognitive Load to Detect Deception: A Meta-Analysis

Meta-analysis finding that imposing cognitive load increased accuracy of deception detection from 56% to 71%. Supported theoretical models underlying both polygraph and behavioral detection approaches. Meta-Analyses & Systematic Reviews Meta-Analysis

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