Mental distress has been consistently reported to be highly prevalent after collective traumas, alongside physical and personal damages. When left untreated, these will worsen survivors’ ability to function. Research also points to unmet needs, related to job security and a sense of belonging. Our study aims to identify a clustered-dimensional approach to people’s experiences after a massive urban violence apart from traditional categorical psychopathological assessments. This cross-sectional internet-based study included 1305 Lebanese adults, 4 months after the apocalyptic Beirut Port explosion. Emotions, attitudes and needs were assessed using iCode software, measuring explicit answers and implicit reaction time. First and foremost, explicit responses revealed alarming levels of distress (75-80%). Latent class analysis further differentiated three groups on seven different dimensions derived from principal component analysis. People who experienced the most intense emotional distress and intrusive thoughts had higher country dissatisfaction and job worries. Faith and community resilience buffered the negative emotionality of those affected in spite of avoidance and intrusion. The last group was less distressed by the trauma with a marked sense of community and an overall reduced country and job dissatisfactions. These findings suggest that integrating implicit responses helps cluster people’s experiences after a collective trauma above and beyond single demographic criteria as vulnerability to mass violence is quite variable within seemingly homogenous samples. They also provide insight onto hard-wired attitudes and needs post-trauma. It mostly taps into multi-factorial individual vulnerabilities and protective factors to better refine targeted interventions for at-risk subpopulation outreach and foster resilience in unstable environments.

In the first part we aim to present a new tool to better understand implicit consumer associations, perceptions and impact. The second one is to show how this tool uncovers new and often counterintuitive insights regarding emotional percepts of soccer megastars, including Lionel Messi. BIOCODE™ is a reaction time based method, determines the strength of implicit, i.e. instinctive, immediate, automated or emotional conviction people have to things they say, such as perceptions of a brand or a celebrity, reactions to an ad, liking of a product or intent to vote for a political candidate. It captures how consumers are impacted by brands, ads, products, packages and concepts in contrast to what they overtly say in a declarative, more considered, explicit realm. In essence, we ask to answer (on-line or central location) simple questions about a brand, a person or a product. Consumers’ explicit and rational statements are important but assessing those responses in the context of the time their brains need to produce an answer gives a new perspective and competitive edge. The standardized reaction time index reveals consumers’ true and unbiased reactions. Importantly, these implicit emotional reactions tend to predict actual behavior closer than explicit rational declarations. The Implicit Association Test (IAT) - the first method based on assessing reaction times - was developed in 1998 by Anthony Greenwald to finally capture racial prejudice and other sensitive issues. Before IAT traditional paper & pencil questionnaires due to overt or hidden distortions had hard time proving the existence of racism. What is the cognitive mechanism beyond reaction time based methodology? By recording how much time a consumer’s brain needs to produce an indication of an attitude or preference we discover how easily accessible (and thus how instrumental) such emotion is. The quicker the indication is, the more accessible it gets. The foundations of this neuropsychological phenomena were first described by Donald Hebb in his ‘Consolidation of the Memory Trace’ theory (1948) and then refined by Russell Fazio in his ‘Attitude Accessibility’ model (1989), Daniel Schacter’s ‘Implicit Memory’ theory (1992) as well as Mahzarin Banaji & Anthony Greenwald in their concept of ‘Implicit Social Cognition’ (1994). Rafal Ohme and his team began working with the original, academic form of IAT. Their goal was to bridge the use of the tool to market research applications. Now with over 15 years of subsequent R&D in this area, they have created simplified, user friendly research applications that are unequaled in their ability to measure previously unanswerable questions about the degree of emotional valence or “felt intensity” that is associated with what people say. BIOCODE™ is the second generation of latency measures. Comparing with IAT - the first generation of academic reaction time methods it is: easier, simpler, clearer, looks better and there is no need for repetitions which saves a lot of precious on-line time. BIOCODE™ is based upon highly refined technology that calibrate individual response speeds and eliminate biasing variables. The technology includes: noise reduction algorithm; quality control module; context procedures; calibration. It secures the highest validity of measurements. In the test – retest validation conducted on 11 studies held internally and externally in 2009-2013 the correlations obtained ranged from r = 0,840 to r = 0,960 (conducted on various target groups of high incidence that met all the criteria for the test; demographic characteristics were controlled and groups were homogenous. Together with Manabu Mori from Rakuten Research - one of the top on-line research company – Rafal Ohme have designed the first ever cross-cultural reaction time test on soccer celebrities. Nearly 900 on-line respondents from three continents: South America, Europe and Asia were asked to indicate (on a computer screen, using a regular mouse or a key-pad) whether they agree or disagree (5-point Likert’s scale) with the attitudinal statements on specific personality traits of soccer celebrities, eg. hard working, talented, famous, loving their country. This explicit rational response has been accompanied by implicit emotional reaction. The aim of the study was to by-pass the “rationality bias” and reveal true emotional reactions about soccer celebrities including: Leo Messi, Christiano Ronaldo, Wayne Rooney, Neymar jr, Shinji Kagawa. The selected findings will be disclosed during the presentation. Concluding, BIOCODE™ is a sensitive detector of consumer ‘lip service’ that is often driven by benefit of the doubt, political correctness and simple deference to leadership brands. If we want to understand consumers, it serves to know the gap between what people say and how they feel. It is a very promising, fast growing method with established advanced applications for copy testing, tracking, brand strategy, political polling, product, package and concept testing worldwide. Moreover it is effective as a module embedded within more traditional surveys for providing a seamless integrated perspective on both explicit and implicit aspects of consumer behavior to enrich our understanding of what consumers truly feel and what drives their behavior.