Difficulty regulating emotion is a cardinal feature of borderline personality disorder (BPD), yet little is known about the automatic psychophysiological processes involved in this phenotype. Inconsistent findings have emerged from studies that employed limited assessments (e.g., heart rate variability, skin conductance) of autonomic nervous system response to emotional contexts, and compared groups based on the presence or absence of BPD as a categorical diagnosis. This exploratory study assessed a comprehensive set of autonomic nervous system processes in 44 individuals (22 with BPD) at rest, in response to emotionally evocative stimuli, and during a subsequent recovery period. BPD was characterized with a dimensional measure of BPD symptom severity, as a well by categorical diagnosis. At baseline and across experimental tasks, higher heart rate was observed in those diagnosed with BPD compared to controls, and in those expressing greater BPD symptom severity. These effects, however, were fully mediated by differences in physical exercise. In contrast, during recovery from emotional activation, greater symptom severity predicted consistently higher levels of multiple sympathetic and parasympathetic processes compared to lower symptom severity. Overall, these findings suggest that the heart rate elevations sometimes observed in those diagnosed with BPD may be associated with individual and group differences in levels of physical exercise. Results further indicate that adaptive psychophysiological recovery responses following emotional challenge may be disrupted in proportion to BPD symptom severity, independently of exercise. Results highlight the utility of considering lifestyle factors and symptom severity in studies of emotional activation and regulation processes in BPD.

Are all real-world objects created equal? Visual search difficulty increases with the number of targets and as target-related visual working memory (VWM) load increases. Our goal was to investigate the load imposed by individual real-world objects held in VWM in the context of search. Measures of visual clutter attempt to quantify real-world set-size in the context of scenes. We applied one of these measures, the number of proto-objects, to individual real-world objects and used contralateral delay activity (CDA) to measure the resulting VWM load. The current study presented a real-world object as a target cue, followed by a delay where CDA was measured. This was followed by a four-object search array. We compared CDA and later search performance from target cues containing a high or low number of proto-objects. High proto-object target cues resulted in greater CDA, longer search RTs, target dwell times, and reduced search guidance, relative to low proto-object targets. These findings demonstrate that targets with more proto-objects result in a higher VWM load and reduced search performance. This shows that the number of proto-objects contained within individual objects produce set-size like effects in VWM and suggests proto-objects may be a viable unit of measure of real-world VWM load. Importantly, this demonstrates that not all real-world objects are created equal.

Augmented reality (AR) usage has increased substantially in recent years due to the proliferation of smart phone technology. Retail companies have leveraged augmented reality by allowing users to view products in their space before they buy. Because usability is related to return on investment (Marcus, 2005; Nielsen et al., 2013), ensuring the usability of these products is vital. One way to accomplish this is through heuristic analyses (Tan et al., 2009). While there are many time-tested sets of heuristics (Nielsen, 1994; Schneiderman & Plaisant, 2004), these often fail to address many of the interactions that are unique to AR (Derby & Chaparro, 2021). In this paper, we demonstrate the viability of supplementing traditional heuristic analyses (Nielsen, 1994) with a new heuristic checklist designed specifically for augmented and mixed reality (Derby & Chaparro, In Press) by evaluating a retail AR program.

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