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Emotion effectiveness at Fort Sabina.

Space-time analytics of human physiology for urban planning.

Recent advancements in mobile sensing and wearable technologies create new opportunities to improve our understanding of how people experience their environment. This understanding can inform urban design decisions. Currently, an important urban design issue is the adaptation of infrastructure to increasing cycle and e-bike use. Using data collected from 12 cyclists on a cycle highway between two municipalities in The Netherlands, we coupled location and wearable emotion data at a high spatiotemporal resolution to model and examine relationships between cyclists' emotional arousal (operationalized as skin conductance responses) and visual stimuli from the environment (operationalized as extent of visible land cover type). We specifically took a within-participants multilevel modeling approach to determine relationships between different types of viewable land cover area and emotional arousal, while controlling for speed, direction, distance to roads, and directional change. Surprisingly, our model suggests ride segments with views of larger natural, recreational, agricultural, and forested areas were more emotionally arousing for participants. Conversely, segments with views of larger developed areas were less arousing. The presented methodological framework, spatial-emotional analyses, and findings from multilevel modeling provide new opportunities for spatial, data-driven approaches to portable sensing and urban planning research. Furthermore, our findings have implications for design of infrastructure to optimize cycling experiences.

Influences of cognitive appraisal and individual characteristics on citizens’ perception and emotion in urban environment: Model development and virtual reality experiment

To model individuals' experience of urban spaces, this study integrates knowledge from environmental psychology and artificial intelligence to propose a framework for individuals' perceptions and emotion by incorporating individual characteristics and cognitive appraisal together with environment attributes as determinants. A path model is employed to capture how the four perceptions of environmental qualities (safety, liveliness, comfort, and legibility) and three dimensions of emotion (pleasure, arousal, dominance) are influenced by individual characteristics and cognitive appraisal using data collected in an online virtual reality experiment with 237 participants. Results show that emotional pleasure is more directly influenced by environmental attributes while arousal and dominance are closely related to a person's current mood and personality. Perceptions of environmental qualities do have mediating effects in emotion generation, but contribute differently to the three dimensions of emotion. Cognitive appraisal variables directly influence emotion generation, with ideal values always having positive effects and expected values always negative effects. The findings can help capture the dynamic process of emotional experiences between diverse individuals and may support experience-centered simulation and prediction.

More is not better : the emotional dynamics of an excellent experience

Emotions embody the value in tourism experiences and drive essential outcomes such as intent to recommend. Current models do not explain how the ebb and flow of emotional arousal during an experience relate to outcomes, however. We analyzed 15 participants’ experiences at the Vincentre museum and guided village tour in Nuenen, the Netherlands. This Vincent van Gogh-themed experience led to a wide range of intent to recommend and emotional arousal, measured as continuous phasic skin conductance, across participants and exhibits. Mixed-effects analyses modeled emotional arousal as a function of proximity to exhibits and intent to recommend. Experiences with the best outcomes featured moments of both high and low emotional arousal, not one continuous “high,” with more emotion during the middle of the experience. Tourist experience models should account for a complex relationship between emotions experienced and outcomes such as intent to recommend. Simply put, more emotion is not always better.

Decoding the neural responses to experiencing disgust and sadness.

Being able to classify experienced emotions by identifying distinct neural responses has tremendous value in both fundamental research (e.g. positive psychology, emotion regulation theory) and in applied settings (clinical, healthcare, commercial). We aimed to decode the neural representation of the experience of two discrete emotions: sadness and disgust, devoid of differences in valence and arousal. In a passive viewing paradigm, we showed emotion evoking images from the International Affective Picture System to participants while recording their EEG. We then selected a subset of those images that were distinct in evoking either sadness or disgust (20 for each), yet were indistinguishable on normative valence and arousal. Event-related potential analysis of 69 participants showed differential responses in the N1 and EPN components and a support-vector machine classifier was able to accurately classify (58%) whole-brain EEG patterns of sadness and disgust experiences. These results support and expand on earlier findings that discrete emotions do have differential neural responses that are not caused by differences in valence or arousal.

Excitation Transfer Between Sexual Arousal and Other Emotions: Study Protocol

Background: Sexual deviance is regarded as an important risk factor for sexual offending. However, little is known about the development of deviant sexual interests. The transfer of arousal between emotions, i.e., excitation transfer, could attribute sexual salience to stimuli that would otherwise not be sexual in nature. As such, excitation transfer could contribute to the very beginning of unusual or deviant sexual interests. The current protocol proposes a study to investigate to what extent excitation transfer occurs, i.e., to what extent genital and subjective sexual arousal to sexual stimuli is higher in an emotional state than in a neutral state. Following a prior pilot study, several adjustments were made to the study protocol, including a stronger emotional manipulation by using 360-degree film clips and the inclusion of a larger and more sexually diverse sample. Methods: We will recruit 50 adult male volunteers with diverse sexual interests. We will induce sexual arousal in four different emotional states (aggression/dominance, endearment, fear, disgust) and a neutral state. Sexual arousal will be measured genitally using penile plethysmography and subjectively via self-report. Using paired samples t-tests, sexual arousal in the emotional states will be compared with sexual arousal in the neutral state. Discussion: We aim to show that arousal in response to emotional stimuli that are initially nonsexual in nature, can enhance sexual arousal. These findings have potentially important implications for the development of unusual and/or deviant sexual interests and possibly for the treatment of such sexual deviant interests in people who have committed sexual offenses.