We investigated whether and how individual's belief in science directly impacts reported face mask wearing behavior in the United States and the mediating role of belief in mask effectiveness in preventing transmission of COVID-19 in this relationship. Mechanical Turk participants ( N = 1050) completed measures on reported face mask wearing behavior, general beliefs in science, belief in face mask effectiveness in reducing transmission of COVID-19, and sociodemographic information. We found evidence that greater belief in science predicted greater belief in the effectiveness of face masks reducing the transmission of COVID-19, which in turn predicted more reported face mask wearing behavior in public, controlling for sociodemographic factors. We urge researchers to engage in more open science practices and science education to increase the public's belief in science and the effectiveness of masks in reducing the transmission of COVID-19 in order to increase the frequency of face mask wearing in public.

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Digital technology has facilitated additional means for human communication, allowing social connections across communities, cultures, and continents. However, little is known about the effect these communication technologies have on the ability to accurately recognize and utilize nonverbal behavior cues. We present two competing theories, which suggest (1) the potential for technology use to enhance nonverbal decoding skill or, (2) the potential for technology use to hinder nonverbal decoding skill. We present preliminary results from two studies to test these hypotheses. Study 1 (N = 410) found that global screen time was unrelated to nonverbal decoding skill. However, how participants spent their time using technology mattered. Participants who reported more active technology use (i.e., posting content) self-reported that their nonverbal decoding skill (as measured by the Emotional Sensitivity subscale of the Social Skills Inventory) was superior but performed worse on objective measures of decoding skill (using standardized tests including the Diagnostic Analysis of Nonverbal Accuracy-Adult Faces and the Workplace Interpersonal Perception Skill). By contrast, passive users performed significantly better on objective measures of nonverbal decoding skill; although they did not self-report any difference in their skill compared to less passive users. Study 2 (N = 190), and a mini-meta analysis of both studies, replicated this pattern. These effects suggest a roadmap for understanding the theoretical relationship between technology use and nonverbal communication skills. We also provide recommendations for future research, including the use of experimental designs to determine causal pathways and to advance our conceptual understanding of the relationship between technology use and nonverbal decoding skill.

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