It depends on how you look at it: Scanpath comparison in multiple dimensions with MultiMatch, a vector-based approach

Eye movement sequences??or scanpaths??vary depending on the stimulus characteristics and the task (Foulsham & Underwood Journal of Vision, 8(2), 6:1?C17, 2008; Land, Mennie, & Rusted, Perception, 28, 1311?C1328, 1999). Common methods for comparing scanpaths, however, are limited in their ability to capture both the spatial and temporal properties of which a scanpath consists. Here, we validated a new method for scanpath comparison based on geometric vectors, which compares scanpaths over multiple dimensions while retaining positional and sequential information (Jarodzka, Holmqvist, & Nystr?m, Symposium on Eye-Tracking Research and Applications (pp. 211?C218), 2010). ??MultiMatch?? was tested in two experiments and pitted against ScanMatch (Cristino, Math?t, Theeuwes, & Gilchrist, Behavior Research Methods, 42, 692?C700, 2010), the most comprehensive adaptation of the popular Levenshtein method. In Experiment 1, we used synthetic data, demonstrating the greater sensitivity of MultiMatch to variations in spatial position. In Experiment 2, real eye movement recordings were taken from participants viewing sequences of dots, designed to elicit scanpath pairs with commonalities known to be problematic for algorithms (e.g., when one scanpath is shifted in locus or when fixations fall on either side of an AOI boundary). The results illustrate the advantages of a multidimensional approach, revealing how two scanpaths differ. For instance, if one scanpath is the reverse copy of another, the difference is in the direction but not the positions of fixations; or if a scanpath is scaled down, the difference is in the length of the saccadic vectors but not in the overall shape. As well as having enormous potential for any task in which consistency in eye movements is important (e.g., learning), MultiMatch is particularly relevant for ??eye movements to nothing?? in mental imagery and embodiment-of-cognition research, where satisfactory scanpath comparison algorithms are lacking.     

Task-set reconfiguration with predictable and unpredictable task switches

Participants switched frequently between high/low and odd/even classification of a digit. The interval between a task cue and the next digit varied between blocks. In Experiment 1, the task switched predictably every two, four, or eight trials. In Experiment 2, switching predictably every four trials was compared with random switching. With predictable switching, the cost was limited to the first trial of a run. Random switching produced a more gradual approach to asymptotic performance. After one performance, control processes attenuate the resulting change in task-set bias if a further switch is likely, but this strategic modulation is soon overwhelmed by task-set priming through further performances. Preparation reduced switch costs but not interference from the irrelevant attribute: Control of interference appears to be reactive, not proactive. Switch costs did not increase with run length, suggesting that retrieval of the task set last associated with the stimulus did not contribute to switch costs.     

Contour-based object identification and segmentation: Stimuli,norms and data,and software tools

We summarize five studies of our large-scale research program, in which we examined aspects of contour-based object identification and segmentation, and we report on the stimuli we used, the norms and data we collected, and the software tools we developed. The stimuli were outlines derived from the standard set of line drawings of everyday objects by Snodgrass and Vanderwart (1980). We used contour curvature as a major variable in all the studies. The total number of 1,500 participants produced very solid, normative identification rates of silhouettes and contours, straight-line versions, and fragmented versions, and quite reliable benchmark data about saliency of points and object segmentation into parts. We also developed several software tools to generate stimuli and to analyze the data in nonstandard ways. Our stimuli, norms and data, and software tools have great potential for further exploration of factors influencing contour-based object identification, and are also useful for researchers in many different disciplines (including computer vision) on a wide variety of research topics (e.g., priming, agnosia, perceptual organization, and picture naming). The full set of norms, data, and stimuli may be downloaded fromwww.psychonomic.org/archive/.     

Exploring diversity effects: nationality composition and nationality context in workgroups

The types of conflict that emerge in nationally diverse teams may depend on the number and types of nationalities present in the team. We investigate the possibility that when teams have individuals from multiple different nationalities (i.e., Dutch, Swiss and Indonesian), rather than just two different nationalities (Dutch and Indonesian), performance and task conflict will be higher while process and relationship conflicts will be comparatively lower. A scenario-based study was conducted in two countries in which we examined how nationality composition (size of national diversity or number of nationalities) and context (nature of national diversity or types of nationalities) affected perceived conflict and expected performance. We hypothesized and found that task conflict and performance are higher in nationally diverse workgroups that included multiple dissimilar nationalities compared to workgroups with just two nationalities. Results also showed that relationship and process conflicts are lower in groups that are diverse in size and nature of national diversity. We observed that social distances among nationalities varied in such a way that a distant nationality became more distanced and a close nationality became even closer in a nationally diverse group. Social distance, in that way, moderated the effect of national diversity. We discuss implications for diversity and conflict management.     

Investigating a process model for leader affective presence,interpersonal emotion regulation,and interpersonal behaviour in teams

Leader affective presence is the tendency of leaders to elicit feelings that are consistent among other individuals, and has been supported as a relevant personality trait for understanding teamwork. Drawing on a model that integrates personality and emotion regulation, this study aimed to expand research on affective presence by proposing team members’ perceptions of leader interpersonal emotion regulation as a process that explains how leader affective presence is related to team member behaviour. In the model, teamness—the perception that interdependence and reflexivity are required in the team—is presented as a boundary condition to the effects of affective presence via emotion regulation. Results of a study conducted with 99 teams showed that team member ratings of leader positive affective presence were linked to their perceptions that leaders had used affect-improving emotion regulation which in turn was associated with greater team citizenship behaviour. Contrariwise, team member ratings of leader negative affective presence were associated with perceived use of affect-worsening emotion regulation by leaders which in turn was associated with lower levels of team citizenship, but only when teams were low in teamness. These findings contribute to understanding how leaders’ individual differences are related to teamwork through affective processes.     

Eating behaviors and emotional distress are predicted by treatment and adverse outcome in patients with type 2 diabetes

Depression and anxiety are hightly prevalent among patients with Type 2 Diabetes (T2D), however not commonly related to outcomes, treatment and comorbidities. Eating behaviors could also have an implication. To evaluate the relation between mood and eating behaviors with demographic, physical, treatment, biochemical profiles and chronic comorbidities in T2D we conducted this exploratory cross sectional study in a population from Mexico. Hospital Anxiety and Depression Scale and the Three Factor Eating Questionnaire Revised 21 (TFEQ-R21) were correlated with age, gender, blood pressure, treatment and comorbidities (nephropathy, neuropathy, retinopathy and cardiopathy). Multi-linear regression models and 2^k factorial analyses were conducted. Sixty-one patients (31 male) 55 years old (SD 13) with at least 5 years of T2D were included. Anxiety correlated with depression (r = 0.25, p < 0.05). Gender (women) (std B 0.026, p < 0.001), insulin therapy (std B 0.3, p = 0.11), systolic blood pressure (std B 0.263, p = 0.02) and cardiovascular disease (std B 0.232, p = 0.035) predicted depression. Insulin therapy had a positive effect in cognitive restraint. (std B 0.32, p = 0.001). Age (std B 0.37, p = 0.003) and systolic blood pressure (std B 0.237, p = 0.048) predicted positively emotional eating (not previously published). 2^k factorial analyses proved additive interaction between complications and insulin therapy with depression. This study supports the relation between mood disorders and eating behaviors with demographic, physical, treatment, biochemical profiles and chronic comorbidities in T2D and the additive interaction between factors and mood disorders.