Human errors in performing security-critical tasks are typically blamed on the complexity of those tasks. However, such errors can also occur because of (possibly unexpected) sensory distractions. A sensory distraction that produces negative effects can be abused by the adversary that controls the environment. Meanwhile, a distraction with positive effects can be artificially introduced to improve user performance. The goal of this work is to explore the effects of visual stimuli on the performance of security-critical tasks. To this end, we experimented with a large number of subjects who were exposed to a range of unexpected visual stimuli while attempting to perform Bluetooth Pairing. Our results clearly demonstrate substantially increased task completion times and markedly lower task success rates. These negative effects are noteworthy, especially, when contrasted with prior results on audio distractions which had positive effects on performance of similar tasks. Experiments were conducted in a novel (fully automated and completely unattended) experimental environment. This yielded more uniform experiments, better scalability and significantly lower financial and logistical burdens. We discuss this experience, including benefits and limitations of the unattended automated experiment paradigm.
However, some prior work reinforces validity of virtually-attended remote experiments and unattended online surveys, in contrast with same efforts in a traditional lab-based setting. @cite_0 collected psychometric data in: (1) a physically attended experimental lab setting and (2) its virtually attended remote counterpart. No significant differences were found. This is further reinforced by @cite_4 who compared data collected from (1) unattended online, and (2) attended offline, questionnaires. Finally, Lazem and Gracanin @cite_5 replicated two classical social psychology experiments where both the participants and the experimenter were represented by avatars in Second Life See secondlife.com , instead of being physically co-present. Here too, no significant differences were observed.
@cite_0 @cite_5 @cite_4
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Does sharing moral values encourage people to connect and form communities? The importance of moral homophily (love of same) has been recognized by social scientists, but the types of moral similarities that drive this phenomenon are still unknown. Using both large-scale, observational social-media analyses and behavioral lab experiments, the authors investigated which types of moral similarities influence tie formations. Analysis of a corpus of over 700,000 tweets revealed that the distance between 2 people in a social-network can be predicted based on differences in the moral purity content-but not other moral content-of their messages. The authors replicated this finding by experimentally manipulating perceived moral difference (Study 2) and similarity (Study 3) in the lab and demonstrating that purity differences play a significant role in social distancing. These results indicate that social network processes reflect moral selection, and both online and offline differences in moral purity concerns are particularly predictive of social distance. This research is an attempt to study morality indirectly using an observational big-data study complemented with 2 confirmatory behavioral experiments carried out using traditional social-psychology methodology. The Internet can be an effective medium for the posting, exchange, and collection of information in psychology-related research and data. The relative ease and inexpensiveness of creating and maintaining Web-based applications, associated with the simplicity of use via the graphic-user interface format of form-based surveys, can establish a new research frontier for the social and behavioral sciences. To explore the possible use of Internet tools in psychological research, this study compared Web-based assessment techniques with traditional paper-based methods of different measures of Internet attitudes and behaviors in an Italian sample. The collected data were analyzed to identify both differences between the two samples and in the psychometric characteristics of the questionnaires. Even if we found significant differences between the two samples in the Internet attitudes and behaviors, no relevant differences were found in the psychometric properties of the different questionnaires. This result, simila... The present study examined the associations of sleep patterns with multiple measures of academic achievement of undergraduate university students and tested whether sleep variables emerged as significant predictors of subsequent academic performance when other potential predictors, such as class attendance, time devoted to study, and substance use are considered. A sample of 1654 (55 female) full-time undergraduates 17 to 25 yrs of age responded to a self-response questionnaire on sleep, academics, lifestyle, and well-being that was administered at the middle of the semester. In addition to self-reported measures of academic performance, a final grade for each student was collected at the end of the semester. Univariate analyses found that sleep phase, morningness eveningness preference, sleep deprivation, sleep quality, and sleep irregularity were significantly associated with at least two academic performance measures. Among 15 potential predictors, stepwise multiple regression analysis identified 5 significant predictors of end-of-semester marks: previous academic achievement, class attendance, sufficient sleep, night outings, and sleep quality (R 2 = 0.14 and adjusted R 2 = 0.14, F(5, 1234) = 40.99, p< .0001). Associations between academic achievement and the remaining sleep variables as well as the academic, well-being, and lifestyle variables lost significance in stepwise regression. Together with class attendance, night outings, and previous academic achievement, self-reported sleep quality and self-reported frequency of sufficient sleep were among the main predictors of academic performance, adding an independent and significant contribution, regardless of academic variables an