University students performed lexical tasks with visually presented target words after the presentation of an identical or unrelated prime, at short (80-120 ms) or longer (410-710 ms) prime-target stimulus onset asynchronies (SOAs). Experiment 1 showed perceptual identification benefits in vocal responding at a short SOA that were reduced (accuracy) or reversed (latency) at a longer SOA. Experiment 2 showed a transition from a repetition benefit to a cost over 3 SOAs in a target-masked version of the lexical decision task (LDT; target displayed for only 141 ms). In Experiment 3 the repetition cost was replicated at a 530-ms SOA in the LDT with masked targets, but a repetition benefit was observed in the conventional LDT (target displayed until response). The dependence of repetition costs on target masking is more consistent with biases based on episodic confusions than refractoriness of lexical representations.
The Nursing Executive at a large tertiary hospital was concerned that nurses using smartphones on duty could be distracted and more vulnerable to clinical error. However, the nursing executive also recognized that smartphones could deliver on-the-job benefits. As a result, they were unsure how best to manage smartphone use. To guide policy, we designed a questionnaire study to survey nurse smartphone use and attitudes towards use at the hospital. Results showed that 57% of the 299 respondents did not carry their phones on duty. There were significant positive correlations between reported frequency of use and nurse unit manager (NUM) attitude, with most NUMs banning cell phones. Nurses found smartphones disruptive and inappropriate while delivering patient care. However, many nurses liked to be contactable by family/friends, and technically competent nurses used phones for work purposes. Age and technology acceptance were significantly negatively correlated, and use/technology acceptance was more prevalent among younger nurses than their older colleagues. The adoption of smartphones by younger nurses suggests that policy should be formulated around allowing phones.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.