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It is commonly agreed that, in most scenarios, deception involves cognitive demands. Prime amongst these demandsis competition between a default true response and an alternative false response. What is less understood are issuessurrounding the mechanistic underpinnings of how and when this competition enacts its influence during responding. Inprevious work (Duran, Dale, & McNamara, 2011), we have used an action dynamics paradigm to capture millisecond-timing information in how people use their mouse movements to respond yes or no to autobiographical information. Inthe current study, we employed a similar paradigm to collect response data from hundreds of anonymous participants,who freely used an interactive touchscreen exhibit at a public science museum exhibit, aiming to replicate and extendour previous findings. As expected, during false responding, the truth appears to be initially activated and dissipatescontinuously over the course of the response.

Computerised paradigms have enabled decision making re-searchers to gather rich data on human behaviour, includinginformation on motor execution of a decision, e.g., by track-ing mouse cursor trajectories. As the number and complexityof mouse-tracking studies rapidly increase, more sophisticatedmethodology is needed to analyse the decision trajectories.Here we present a new computational approach to generat-ing decision landscape visualisations based on mouse-trackingdata. Decision landscape is an analogue of energy potentialfield mathematically derived from velocity of mouse move-ment during a decision. Visualised as a 3D surface, it pro-vides a comprehensive overview of motor evolution of deci-sions. Employing the dynamical systems theory framework,we develop a new method for generating decision landscapesbased on arbitrary number of trajectories. The decision land-scape visualisation have potential to become a novel tool foranalysing mouse trajectories during decision execution, whichcan provide new insights into the dynamics of decision mak-ing.

In economics, “willingness to pay” reflects subjective value which has been employed to price goods, and morerecently, negative outcomes. The current project proposes a protocol for the behavioural assessment of fear-related avoidancebased on how much an individual is willing to pay to avoid their fears.The proposed protocol consists of a “card game” interface in which participants make choices in several stages. Duringbaseline, participants chose between two decks that provide differential point rewards. Across a series of experimental blocks,feared stimuli (e.g. a spider image) were presented in addition to rewards when the richer deck was chosen. Rewards were thenmanipulated, in a staircase fashion, to establish the value of the feared stimulus. Mouse and eye movements were tracked inan attempt to track cognitive processes during decision-making and avoidance. Preliminary results indicate sensitivity of theprotocol, and strengths and weaknesses will be discussed.

The notion that cognitive processes ”leak” into motor output of decisions inspired much recent process-tracingresearch. In mouse-tracking, an increasingly popular decision-making paradigm, difficult choices lead to increased curvatureof the mouse trajectories towards the unchosen option. Here we explore whether traces of a decision process can be found inits motor output in a more naturalistic setting. Our subjects performed a series of choices between a smaller reward now and alarger reward at some delay. Using Kinect camera, we recorded subjects’ walking trajectories when they moved towards theirpreferred option displayed in one of the corners across the room. We found that deviation of subjects’ trajectories from theideal trajectory increased with delay when they preferred the ”later” option, and decreased with delay in trials where the ”now”option was chosen. Our results suggest that walking trajectory of a person can provide information about their ongoing thoughtprocesses.