Academic Positions

  • Present 2020

    Lecturer in Criminology & Investigative Psychology

    Kingston University London, Criminology and Sociology | Psychology

  • 2020 2018

    Lecturer in Forensic Psychology

    Teesside University, Psychology

  • 2018 2017

    Postdoctoral Research Associate

    University College London, Computer Science

  • 2016 2012

    PhD Candidate

    University College London, Experimental Psychology

  • 2015 2014

    Post-Graduate Peer Group (PPG) co-chair

    University College London, Psychology and Language Sciences

  • 2015 2014

    Demonstrator 2nd Year Module - Research and Quantitative Methods in Psychology

    University College London, Psychology Department

  • 2015 2013

    Demonstrator 1st Year Module - Introduction to Psychological Experimentation

    University College London, Psychology Department

  • 2015 2012

    Invited Lecturer

    University College London, Psychology Department

Education & Training

  • FHEA 2018

    Fellow of the Higher Education Academy, Advance.HE

    Higher Education Academy

  • Ph.D. 2016

    Ph.D. in Experimental Psychology

    University College London

  • AFHEA 2015

    Associate Fellow of the Higher Education Academy, Advance.HE

    Higher Education Academy

  • MSc2012

    Master in Social Cognition

    University College London

  • BSc2010

    Bachelor of Science in Psychology

    Goldsmiths College London

Honors, Awards, and Grants

  • 2019
    ISRE Travel Grant.
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    Funding obtained for international travel to ISRE 2019, Amsterdam, NL.
  • 2019
    Teesside External Research Fund & UCL SRF.
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    Competitive funding obtained for international travel to SARMAC XIII, Cape Cod, USA.
  • 2018
    Students As Researchers Scheme (SARS | Teesside).
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    Project Leader - Living with an Offender - study in collaboration with Dr Alex Jones, Swansea University.
  • 2018
    Strategic Research Fund Award
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    Grant awarded for undertaking a research project; Title: How Cultural Differences Shape the Sharing Economy.
  • 2017
    SARMAC Student Travel Award
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    Travel award for presenting a talk on "Passive Lie Detection" at SARMAC XIII in Sydney, Australia.
  • 2017
    PsyPAG Workshop Grant
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    Funding for planning and hosting a full-day workshop on "Good Practices for PhD students"; The award was given with matching funds from the hosting university, UCL.
  • 2015
    UCL Graduate School Student Conference Award
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    University funding award for international conferences, received to present my work on the ability to fake emotional expressions at SPSP in Long Beach, California.
  • 2015
    SPSP Diversity Travel Award
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    Award received for the promotion of diversity within personality and social psychology.
  • 2014
    FBS Poster Symposium prize
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    Faculty of Brain Sciences Award for best poster presentation (runner-up). Award was given for a poster on accuracy and bias in police interrogations due to handcuffing suspects.
  • 2014
    Cumberland Lodge Bursary
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    Funding received for hosting the annual PPG Cumberland Lodge Conference held by the Faculty of Brain Sciences, UCL.
  • 2013
    UCL Graduate School International Conference Award
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    University provided funding for presenting multiple empirical works relating to theoretical development in the field of embodiment and deception detection. Conferences attended were JAM V, CogSci 2013, and EALP 2013.
  • 2012
    UCL Graduate School Impact Award
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    University provided funding for undertaking a PhD in Experimental Psychology investigating the Importance of Emotions in Deception Detection.

Research Projects

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    Sharing Economy: How Trust and Reputation Shape Behaviour

    I am the primary behavioural researcher investigating how trust and reputation influence user interaction and decision-making in the Sharing Economy.

    In a series of online experiments, we investigate the effect of community-generated trust and reputation information (TRI) on user decision-making and choice preference on Sharing Economy platforms. The results over several studies strongly support our claim that TRI produces a positivity bias in users' perception of other users (here, Hosts). This work illustrates the strength of TRI on user judgement, its limitation as a metric for quality, and the cognitive bias people experience in this novel online peer-to-peer environment.

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    Looking ready for Jail - The Influence of Handcuffs on Deception Detection and Suspiciousness

    Research investigating the effects of context on how interrogators and perceivers detect veracity and how their biases are influenced by the suspects ability to gesticulate freely.

    This experiment looked at how the context in which individuals are interrogated affects how believable they appear. Participants were videotaped while providing truthful or fabricated responses in an interrogation setting while their ability to gesticulate freely was manipulated. The manipulation was achieved by handcuffing half of the participants. Deception detection accuracy, confidence and bias for the two conditions was obtained from both layperson and police officers. The study looks at how the physical constraints imposed on the “suspects” affects their ability to appear honest and on how these constraints affect the decoder’s accuracy and suspiciousness.

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    Surprise! I’m not actually surprised – the ability to fake an emotion

    Investigating the factors that allow indviduals to successfully fake emotional expressions.

    How do people fake emotions, and how convincing are they? Participants were recorded reacting to a surprising stimulus, a vampire jack-in-the-box, and faking surprise to a neutral stimulus, a countdown timer. Half the participants faked surprise before experiencing genuine surprise (improvise condition), and the other half afterwards (rehearse condition). These recordings were shown to other participants who tried to identify which were genuine. The improvised surprise was easier to classify as fake, compared to rehearsed surprise, which was indistinguishable from genuine surprise. The improvised and rehearsed expressions were rated as equally intense, and both less so than the genuine surprise. These results show that the experience of surprise helps participants convincingly portray that emotion later. Further experiments will reveal what aspects of rehearsal aid performance, whether participants are drawing on their recent internal experience of genuine surprise, or a motor memory of their recent behaviour when genuinely surprised.

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    Emotion recognition ability and Deception Detection in Low-stakes lying

    Investigating the differences in deception detectiong in everyday lying scenarios.

    Emotion theories of deception state that information relating to one’s true emotions is useful in determining if they are lying or telling the truth. The current study investigated accuracy of deception detection based on differences in one’s ability to accurately recognise emotional cues in low-stake lies, where the consequences or rewards to the deceiver are low. The study compared participants on subtle cue recognition, microexpression detection, empathy, and alexithymia. The results reveal that one’s ability to detect facial cues was not related to accuracy. Empathy and deception detection showed a negative correlation, suggesting higher trait empathy is detrimental to accuracy, while alexithymia did not relate to either emotion recognition or deception detection. The findings illustrates that the relationship between emotion recognition in low-stakes lies differs from that observed in other types of lies, and that different component of emotion recognition have different relationships with the deception detection process.

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    Emotion Recognition Training and Deception Detection: Importance of the Type of Lie Told

    Research looking at the benefits/detriments of facial expression training in low and high stakes lies.

    Emotion theories of deception state that cues relating to the true emotions of a deceiver leak out during deception (Ekman & Friesen, 1969). Although such cues are said to be ubiquitous, research investigating their usefulness in deception detection shows inconsistent results. A potential issue is the role of moderating factors that determine cue production, such as the stakes to the liar for deceiving. The current study investigated the effect of emotion recognition training and bogus training on accuracy in detecting lie where the stakes to the deceiver were low or high. The results showed that in both deception conditions neither emotion recognition training nor bogus training was useful in improving accuracy, but that low-stakes lies and emotional lies were easier to detect. The potentially paradoxical results are discussed in terms of a dual system model of emotion recognition in deception detection.

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    Difference in Single vs. Pair judgements on Deception Detection, Confidence and Bias based on the Level of Communication

    Why are people working together to detect lies not better than a single observer? And what effects does collaborating have on judgements?

    When people judge whether others are lying or telling the truth, they act differently if they are working alone or in a group. The current experiment explored this finding by varying the amount of information that participants (working alone or in a pair) could communicate while making veracity decisions. The information that participants provided varied on three levels: a binary truth/lie decision, a binary decision and a set of reasons chosen from a list, or an open ended discussion/explanation. Being alone or in a pair had no significant effect on accuracy, but confidence was higher in the pair condition. A truth bias was found in the single condition but was mostly eliminated for pairs. As was predicted, the amount of information provided after each decision had an effect on accuracy, bias, and confidence. Lie detection accuracy was highest when stating a reason chosen from a list, while confidence increased with the amount of information provided. In pairs, specifying a reason or conversing while making the veracity decision eliminated the truth bias. The current findings improve our understanding of the effect of pair decision making, illustrating how varying levels of information can have different effect on decision making and deception detection.

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    The effect of Body Posture and Empathy on the Recognition of Facial Expressions of Emotions and Deception Detection

    Looking at the embodied effect of body postures on perception of emotional information, veracity judgements and social acuity.

    Previous research has indicated that body postures have significant effects on the way individuals process social information, but little is known of the effect postures may have on social acuity and the recognition of behavioural cues. The current study investigated the effect of open and closed body postures on the recognition of facial expressions of emotion and deception detection. It was hypothesised that adopting an Open posture would result in improved recognition of all seven universal expressions, compared to a Closed posture. Secondly, the Open posture would improve accuracy of deception detection, due to the improvement in recognition of cues of deception. Differences in empathy were also considered, as empathy is an important individual difference relating to the accurate recognition of emotional states in other, predicting that individuals with higher self-reported empathy would outperform individuals with lower empathy scores on both facial expression recognition and deception detection. The results showed partial support for the experimental hypotheses, finding that Open postures improved accuracy of truth detection, but not of lie detection. No effect of posture was found for the recognition of facial expression of emotion. The predicted advantage of higher trait empathy was found for truth detection, but no effect for either the lie detection or for facial expression recognition. The results are discussed in terms of theories of social acuity and information processing, as well as their implications in the field of deception detection. Potential limitations and future research directions are also discussed.

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    The face of QI: Novel Facial expression recognition study

    Investigating a new conversational expression.

    This experiment will focus on the ability of individuals to match facial expressions with congruent or incongruent descriptions of emotional states. It will focus both on established facial expressions of emotions and potentially novel conversational expression. The experiment will involve online data collection from a diverse sample of participants, in the hopes of providing a highly ecologically valid understanding of how well people can classify the emotional expressions of others. The study aims to find initial data on this new conversational expression that relates to genuine interest and acceptance of novel information.

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Detecting Genuine and Deliberate Displays of Surprise in Static and Dynamic Faces

Zloteanu, M., Krumhuber, E.G., and Richardson, D.C.
Journal Paper Frontiers in Psychology 9, 1184, 10 July 2018

Abstract

People are good at recognizing emotions from facial expressions, but less accurate at determining the authenticity of such expressions. We investigated whether this depends upon the technique that senders use to produce deliberate expressions, and on decoders seeing these in a dynamic or static format. Senders were filmed as they experienced genuine surprise in response to a jack-in-the-box (Genuine). Other senders faked surprise with no preparation (Improvised) or after having first experienced genuine surprise themselves (Rehearsed). Decoders rated the genuineness and intensity of these expressions, and the confidence of their judgment. It was found that both expression type and presentation format impacted decoder perception and accurate discrimination. Genuine surprise achieved the highest ratings of genuineness, intensity, and judgmental confidence (dynamic only), and was fairly accurately discriminated from deliberate surprise expressions. In line with our predictions, Rehearsed expressions were perceived as more genuine (in dynamic presentation), whereas Improvised were seen as more intense (in static presentation). However, both were poorly discriminated as not being genuine. In general, dynamic stimuli improved authenticity discrimination accuracy and perceptual differences between expressions. While decoders could perceive subtle differences between different expressions (especially from dynamic displays), they were not adept at detecting if these were genuine or deliberate. We argue that senders are capable of producing genuine-looking expressions of surprise, enough to fool others as to their veracity.

The role of handcuffs in perception of guilt and the ability to detect deception (title tbc).

Zloteanu, M., Richardson, D.C.
Reports In prep.

Abstract

This experiment looked at how the context in which individuals are interrogated affects how believable they appear. Participants were videotaped while providing truthful or fabricated responses in an interrogation setting while their ability to gesticulate freely was manipulated. The manipulation was achieved by handcuffing half of the participants. Deception detection accuracy, confidence and bias for the two conditions was obtained from both layperson and police officers. The study looks at how the physical constraints imposed on the “suspects” affects their ability to appear honest and on how these constraints affect the decoder’s accuracy and suspiciousness.

The role of emotions in detecting deception.

Zloteanu, M.
Book Chapter In E. Williams & I. Sheeha, Deception: An Interdisciplinary Exploration (pp. 203-217). Inter-Disciplinary Press. ISBN-10: 978-1-84888-354-3

How are emotions perceived by decoders when detecting deception and how are emotional cues affected by various factors?

The ability to recognise the emotional states of others is believed to facilitate the detection of deception, but the exact way in which individuals use emotional information during deception detection has not been fully explored. In this paper, the current way of thinking about deception detection is reviewed and extended by a discussion about the importance of the stakes to the liar in emotion cue production. For the perception of emotion cues, individual differences in empathic ability are proposed to be a crucial moderator of the relationship between emotion recognition and deception detection. This ability may facilitate deception detection under certain circumstances but may hinder accuracy in others. The aim of this paper is to provide an overview of the way emotions relate to both the process of deception and its detection, and propose possible future avenues of research in this area.

Emotions and Detecting Detection

Zloteanu, M.
Book UCL (University College London) | February 01, 2017
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Humans have developed a complex social structure which relies heavily on communication between members. However, not all communication is honest. Distinguishing honest from deceptive information is clearly a useful skills, but individuals do not possess a strong ability to discriminate veracity. As others will not willingly admit they are lying, one must rely on different information to discern veracity.

Many books teach the mechanics of using Facebook, Twitter, and YouTube to compete in business. But no book addresses how to harness the incredible power of social media to make a difference. Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.

In deception detection, individuals are told to rely on behavioural indices to discriminate lies and truths. A source of such indices are the emotions displayed by another. This thesis focuses on the role that emotions have on the ability to detect deception, exploring the reasons for low judgemental accuracy when individuals focus on emotion information. I aim to demonstrate that emotion recognition does not aid the detection of deception, and can result in decreased accuracy. This is attributed to the biasing relationship of emotion recognition on veracity judgements, stemming from the inability of decoders to separate the authenticity of emotional cues.

To support my claims, I will demonstrate the lack of ability of decoders to make rational judgements regarding veracity, even if allowed to pool the knowledge of multiple decoders, and disprove the notion that decoders can utilise emotional cues, both innately and through training, to detect deception. I assert, and find, that decoders are poor at discriminating between genuine and deceptive emotional displays, advocating for a new conceptualisation of emotional cues in veracity judgements. Finally, I illustrate the importance of behavioural information in detecting deception using two approaches aimed at improving the process of separating lies and truths. First, I address the role of situational factors in detecting deception, demonstrating their impact on decoding ability. Lastly, I introduce a new technique for improving accuracy, passive lie detection, utilising body postures that aid decoders in processing behavioural information.

The research will conclude suggesting deception detection should focus on improving information processing and accurate classification of emotional information.

Cultivating admiration in brands: Warmth, competence, and landing in the “golden quadrant”

Jennifer Doe, Emily N. Garbinsky, Kathleen D. Vohs
Conference Papers Journal of Consumer Psychology, Volume 22, Issue 2, April 2011, Pages 191-194

Abstract

Although a substantial amount of research has examined the constructs of warmth and competence, far less has examined how these constructs develop and what benefits may accrue when warmth and competence are cultivated. Yet there are positive consequences, both emotional and behavioral, that are likely to occur when brands hold perceptions of both. In this paper, we shed light on when and how warmth and competence are jointly promoted in brands, and why these reputations matter.

Current Teaching

  • Present 2018

    MSc Forensic Psychology

    Module: Applied Quantitative Research Methods.

  • Present 2018

    MSc Forensic Psychology

    Module: Applied Forensic Psychology.

  • Present 2018

    MSc Forensic Psychology

    Module: Law, Justice and Psychology.

  • Present 2018

    MSc Forensic Psychology

    Module: The Psychology of Investigations.

  • Present 2018

    BSc (Hons) Forensic Psychology

    Module: The Psychology of Criminal and Sexual Offending.

  • Present 2015

    The Profs Tutoring

    I provide one-on-one tutoring for students struggling with their exams. The topics I cover are BSc, MSc, and PhD level Statistics, BSc Psychology, and MSc Research Methods.

Teaching History

  • 2018 2018

    Invited Lecturer

    Affective Neuroscience and Psychophysiology Colloquium, University of Göttingen

  • 2018 2018

    Seminar Lecturer

    Financial Computing & Analytics Seminars, CS | University College London

  • 2017 2014

    Research and Quantitative Methods in Psychology

    I was a demonstrator for an undergraduate BSc Psychology module for 2nd years. Involves designing quantitative and qualitative experiments, hypothesis generation, data analysis and interpretation.

  • 2017 2013

    Introduction to Psychological Experimentation

    My role was to supervise a group of ten 1st year undergraduate students while they learn the basics of experimental design and statisical analysis. My main tasks involve explaining the proper way to write a lab report, and to provide feedback on their performance through out the academic year.

  • 2018 2013

    Supervisior/Mentor

    MSc Social Cognition thesis.

    BSc Psychology (2nd and 3rd Years) final projects.

    MSc Computer Science Students final projects.

  • 2018 2018

    Invited Lecturer

    ICN Seminars - Institute of Cognitive Neuroscience, ICN | University College London

  • 2017 2017

    Invited Lecturer

    Understanding Individuals and Groups module for the MSc in Social Cognition, EP | University College London

  • 2016 2016

    Invited Lecturer

    Cognitive Psychology Course for the MSc in Research Methods, EP | University College London

  • 2015 2015

    Invited Lecturer

    Cognitive Psychology Course for the MSc in Research Methods, EP | University College London

  • 2014 2014

    Invited Lecturer

    Applied Social Psychology MSc module, EP | University College London

  • 2014 2014

    Guest Speaker

    Introduction to Social Psychology Course, New York University

  • 2014 2014

    Invited Lecturer

    Cognitive Psychology Course for the MSc in Research Methods, EP | University College London

  • 2013 2014

    Post-Graduate Peer Group (PPG)

    Co-chair to the Psychology and Language Sciences Division PhD support program.

  • 2013 2013

    Statistics Invigilator

    MSc and BSc Statistics and Research Methods.

At My Office

You can find me at my office located at Kingston University London, MB3028, Penrhyn Road, Kingston, UK.

I have office hours on Tuesday and Thursday between 9:00 and 18:00, but you may consider an email to fix an appointment.

At My Lab

Coming soon using R Blogdown.

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To see work from my former lab click the link below

Eyethink Lab