Automated verification of shape, size and bag properties.

In recent years, separation logic has emerged as a contender for formal reasoning of heap-manipulating imperative programs. Recent works have focused on specialised provers that are mostly based on fixed sets of predicates. To improve expressivity, we have proposed a prover that can automatically handle user-defined predicates. These shape predicates allow programmers to describe a wide range of data structures with their associated size properties. In the current work, we shall enhance this prover by providing support for a new type of constraints, namely bag (multi-set) constraints. With this extension, we can capture the reachable nodes (or values) inside a heap predicate as a bag constraint. Consequently, we are able to prove properties about the actual values stored inside a data structure

Emotional ratings and skin conductance response to visual, auditory and haptic stimuli

The human emotional reactions to stimuli delivered by different sensory modalities is a topic of interest for many disciplines, from Human-Computer-Interaction to cognitive sciences. Different databases of stimuli eliciting emotional reaction are available, tested on a high number of participants. Interestingly, stimuli within one database are always of the same type. In other words, to date, no data was obtained and compared from distinct types of emotion-eliciting stimuli from the same participant. This makes it difficult to use different databases within the same experiment, limiting the complexity of experiments investigating emotional reactions. Moreover, whereas the stimuli and the participants’ rating to the stimuli are available, physiological reactions of participants to the emotional stimuli are often recorded but not shared. Here, we test stimuli delivered either through a visual, auditory, or haptic modality in a within participant experimental design. We provide the results of our study in the form of a MATLAB structure including basic demographics on the participants, the participant’s self-assessment of his/her emotional state, and his/her physiological reactions (i.e., skin conductance)

Differential effects of exposure to ambient vanilla and citrus aromas on mood, arousal and food choice

<p>Abstract</p> <p>Background</p> <p>Aromas have been associated with physiological, psychological affective and behavioral effects. We tested whether effects of low-level exposure to two ambient food-related aromas (citrus and vanilla) could be measured with small numbers of subjects, low-cost physiological sensors and semi-real life settings. Tests included physiological (heart rate, physical activity and response times), psychological (emotions and mood) and behavioral (food choice) measures in a semi-real life environment for 22 participants.</p> <p>Results</p> <p>Exposure to ambient citrus aroma increased physical activity (<it>P</it> <0.05), shortened response times in young participants (<it>P</it> <0.05), decreased negative emotions (<it>P</it> <0.05), and affected food choice (<it>P</it> <0.05). Exposure to ambient vanilla aroma increased projected introvert emotions (<it>P</it> <0.05). All effects were small relative to estimated effect sizes.</p> <p>Conclusions</p> <p>The test battery used in this study demonstrated aroma-specific physiological, psychological and behavioral effects of aromas with similar appeal and intensities, and similar food-related origins. These effects could be measured in (semi-) real life environments for freely moving subjects using relatively inexpensive commercially available physiological sensors.</p