Attention-Based Applications in Extended Reality to Support Autistic Users: A Systematic Review

Abstract

Date of publication xxxx 00, 0000, date of current version xxxx 00, 0000.

PhysioKit: Open-source, Low-cost Physiological Computing Toolkit for Single and Multi-user Studies

“…Passive physiological computing studies, on the other hand, do not require adapting any interaction aspects based on real-time computing of physiological metrics from the acquired signals. Illustrative studies with passive use of physiological computing include assessing user's mental states (e.g., stress, workload and attention) [16,17,77,88], exploring user experiences [29,31,66,76], or objective comparisons with subjective reports [65].…”

Shared User Interfaces of Physiological Data: Systematic Review of Social Biofeedback Systems and Contexts in HCI

“…14 systems (22%) fed back combinations of these signals to users, with the most common being cardiovascular-EDA metrics (n=6) and respiration-neural activity metrics (n=5). Metrics ranged most widely for cardiovascular measures, with seven studies manipulating HR biofeedback by being keeping it constant [80,88,89,133], creating authentic preconstructions [58,134] and substituting it with pre-recordings [131]. With respiration biofeedback, 14 studies focused on breathing rate, with four including amplitude as a complementary metric.…”

“…This question is fueled by studies showing physiological signals are inherently emotional and social [16]. For example, physiological interaction between pairs is correlated with attachment, engagement, and team performance (see [97] for a review), and individual physiology reflects changes in social emotions like embarrassment [51], guilt [25] and empathy [28] as well as attention [131] in various interpersonal contexts. While physiological activity reflects our reactions to social interactions [131] and can inform us about the emotional states of others [111], physiological signals do not constitute an explicit channel of information that humans use to interpret others' states [16] as most signals are subtle and displayed internally [16].…”

“…For example, physiological interaction between pairs is correlated with attachment, engagement, and team performance (see [97] for a review), and individual physiology reflects changes in social emotions like embarrassment [51], guilt [25] and empathy [28] as well as attention [131] in various interpersonal contexts. While physiological activity reflects our reactions to social interactions [131] and can inform us about the emotional states of others [111], physiological signals do not constitute an explicit channel of information that humans use to interpret others' states [16] as most signals are subtle and displayed internally [16]. However, some research has argued that externalizing such data through biofeedback in social contexts can help individuals recognize their own and others' emotions [16,76], and in turn augment social communication [76].…”