Assessing affective experience of in-situ environmental walk via wearable biosensors for evidence-based design

In environmental psychology research, the most commonly used methods are phenomenological interviews and psychometric scales. Recently, with the development of wearable bio-sensing devices, a new approach based on bio-sensing data is becoming possible. In this study, we examined the feasibility of using wearable biosensors to document affective experience during in-situ walk. An eight-channelled Procomp multi-bio-sensing devices (EKG, EEG, skin conductance, temperature, facial EMG, respiration) were used, in addition with a GPS tracker, to measure the in situ physiological affective responses to environmental stimuli. This pilot experiment revealed consistent results between bio-sensing measures and two traditional methods, i.e. phenomenological interviews and psychological Likert scale rating, which indicated that mobile bio-sensing could be a promising method in measuring in-situ affective responses to environmental stimuli as well as diagnosing potential environmental stressor. This new bio-sensory method, as exemplified in this paper, could help identifying negative stressful stimuli and providing evidence-based diagnosis to support design strategies.     

Representing decision-makers using styles of behavior: An approach designed for group decision support systems

Supporting decision-making processes when the elements of a group are geographically dispersed and on a tight schedule is a complex task. Aiming to support decision-makers anytime and anywhere, Web-based group decision support systems have been studied. However, the limitations in the decision-makers’ interactions associated to this scenario bring new challenges. In this work, we propose a set of behavioral styles from which decision-makers’ intentions can be modelled into agents. The goal is that, besides having agents represent typical preferences of the decision-makers (towards alternatives and criteria), they can also represent their intentions. To do so, we conducted a survey with 64 participants in order to find homogeneous operating values so as to numerically define the proposed behavioral styles in four dimensions. In addition, we also propose a communication model that simulates the dialogues made by decision-makers in face-to-face meetings. We developed a prototype to simulate decision scenarios and found that agents are capable of acting according to the decision-makers’ intentions and fundamentally benefit from different possible behavioral styles, just as a face-to-face meeting benefits from the heterogeneity of its participants.     

The Hospital Anxiety and Depression Scale: a pilot study to examine its latent structure and the link between psychological state and symptom severity in transient ischaemic attack patients

Transient ischaemic attack (TIA) is often associated with anxiety and depression, which may precipitate secondary stroke and interfere with treatment. The Hospital Anxiety and Depression Scale (HADS) is widely used to assess these states and to inform the management of any associated psychological problems, but there is considerable debate about what it actually measures. The HADS scores from a range of different clinical groups have been reviewed in order to assess its psychometric properties, but so far, no research has examined either its latent structure when used with TIA patients, or the association between symptom severity and the test’s validity. The aims of this study, therefore, were to investigate: (a) the underlying structure of the HADS when used with TIA patients; and (b) the impact of symptom severity on the validity of the HADS. The HADS and a functional capacity measure were administered by post to a sample of 542 confirmed TIA patients. Exploratory factor analysis was conducted on the HADS scores to establish its underlying structure for this clinical group, and then, sub-sample correlations were undertaken between the anxiety/depression scores for different levels of functional capacity. Two factors emerged, with 13 of the 14 HADS items loading significantly on both, suggesting there is a common affective state underlying the standard anxiety and depression scales. Further data-exploration indicated that convergence between these affective states increased as functional capacity deteriorated. The results suggest firstly that the HADS measures general subjective distress when used with TIA patients, and secondly that the higher reported symptom severity in this clinical group may be associated with reduced affective differentiation. As the ability to retain clear affective discrimination is associated with health and well-being, this could provide a focus for post-TIA rehabilitation.     

Affective and cognitive predictors of affective response to exercise: Examining unique and overlapping variance

ObjectivesAffective response to exercise has been suggested as an important factor in determining regular exercise. However, it is unclear the extent to which anticipatory affect factors (affective attitudes, implicit associations, and affective associations), anticipated affect factors (anticipated regret, anticipated pride), and cognitive factors (self-efficacy, intentions) explain overlapping or unique variance in affective response to exercise.DesignWe systematically examined the extent to which these various affective and cognitive factors relevant to exercise predict affective response, and determined the extent to which these factors account for unique or overlapping variance in affective response.MethodHealthy young adults (N = 69) completed measures of affective attitudes, affective associations, implicit associations, anticipated affect, self-efficacy, and exercise intentions. Participants then exercised for 20-min at moderate intensity on a treadmill, during and after which they reported their affective response. Using variables that were independent predictors, we conducted multivariate analyses to determine which factors account for unique variance in affective response to exercise.ResultsIn three of four multivariate models, both anticipated and anticipatory affect variables explained unique variance in affective response during exercise. Only anticipatory affect variables accounted for unique variance in affective response immediately post-exercise. Finally, the association between exercise self-efficacy and affective response during-exercise was rendered non-significant after controlling for affective factors in all three multivariate models.ConclusionsThe unique associations between affective response to exercise and affective, but not cognitive, factors elucidate key predictors of affective response during- and post-exercise.     

Realistic affective forecasting: The role of personality

Affective forecasting often drives decision-making. Although affective forecasting research has often focused on identifying sources of error at the event level, the present investigation draws upon the “realistic paradigm” in seeking to identify factors that similarly influence predicted and actual emotions, explaining their concordance across individuals. We hypothesised that the personality traits neuroticism and extraversion would account for variation in both predicted and actual emotional reactions to a wide array of stimuli and events (football games, an election, Valentine's Day, birthdays, happy/sad film clips, and an intrusive interview). As hypothesised, individuals who were more introverted and neurotic anticipated, correctly, that they would experience relatively more unpleasant emotional reactions, and those who were more extraverted and less neurotic anticipated, correctly, that they would experience relatively more pleasant emotional reactions. Personality explained 30% of the concordance between predicted and actual emotional reactions. Findings suggest three purported personality processes implicated in affective forecasting, highlight the importance of individual-differences research in this domain, and call for more research on realistic affective forecasts.     

Relevance drives attention: Attentional bias for gain- and loss-related stimuli is driven by delayed disengagement

Attentional bias to gain- and loss-related stimuli was investigated in a dot-probe task. We used coloured stimuli that had acquired their valence during the experiment by signalling the chance to either win or lose points in a game task. Replicating previous findings with the additional singleton paradigm, we found attentional bias effects for both gain- and loss-related colours. The effects were due to delayed disengagement from valent stimuli, especially if they were positive, and could not be explained by nonattentional processes like behavioural freezing. Our findings suggest that stimuli signalling opportunities and dangers hold attention, supporting a general motivational relevance principle of the orienting of attention.     

Associations between empathy and altruistic sharing behavior in Chinese adults

Previous research has shown that affective empathy, rather than cognitive empathy, significantly predicts people’s altruistic sharing behavior in economic games. However, most of these studies were conducted in Western populations. There might be cultural differences in the relations between empathy and altruism due to different levels of empathy between Western and Asian individuals. In this study, we measured different aspects of empathy in Chinese adults as well as their allocation offers in the dictator and ultimatum games. We found that cognitive empathy, but not affective empathy, was a significant predictor of adults’ altruistic sharing behavior in the two economic games. Subjective family income was also revealed to be a significant predictor of individuals’ altruism in the ultimatum game, such that people with lower subjective family income tended to be more generous. Potential implications of our findings are discussed.     

Can emotional bonding be a liability? Status striving as an intervening mechanism in affective commitment and negative work behaviors relationship

IntroductionThe dark side of affective commitment has been ignored in the past literature on organizational commitment.ObjectivesUsing the tenants of moral self-licensing theory, we examined how affective commitment can cause negative outcomes. We hypothesized that affective commitment leads to unethical pro-organizational behaviors, careerism and counter-productive work behaviors through increased urge for status striving.Methods and resultsA multi-wave and two-source data was obtained (n = 306) from employees and their peers working in the service sector of Pakistan. Employing structural equation modelling (SEM) analysis our results indicate that high levels of affective commitment might unleash status striving which further creates unethical pro-organizational behaviors, careerism and CWBs.ConclusionThe current study opens up a new side in the affective commitment literature by examining status striving as an underlying mechanism through which affective commitment reveals its deleterious consequences for employees.     

A mechanism for biasing the appraisal process in affective agents

In this paper we present a mechanism to model the influence of agents’ internal and external factors on the emotional evaluation of stimuli in computational models of emotions. We propose the modification of configurable appraisal dimensions (such as desirability and pleasure) based on influencing factors. As part of the presented mechanism, we introduce influencing models to define the relationship between a given influencing factor and a given set of configurable appraisal dimensions utilized in the emotional evaluation phase. Influencing models translate factors’ influences (on the emotional evaluation) into fuzzy logic adjustments (e.g., a shift in the limits of fuzzy membership functions), which allow biasing the emotional evaluation of stimuli. We implemented a proof-of-concept computational model of emotions based on real-world data about individuals’ emotions. The obtained empirical evidence indicates that the proposed mechanism can properly affect the emotional evaluation of stimuli while preserving the overall behavior of the model of emotions.