VR devices have recently been actively promoted as tools for knowledge workers and prior work has demonstrated that VR can support some knowledge worker tasks. However, only a few studies have explored the effects of prolonged use of VR such as a study observing 16 participants working in VR and a physical environment for one work-week each and reporting mainly on subjective feedback. As a nuanced understanding of participants' behavior in VR and how it evolves over time is still missing, we report on the results from an analysis of 559 hours of video material obtained in this prior study. Among other findings, we report that (1) the frequency of actions related to adjusting the headset reduced by 46% and the frequency of actions related to supporting the headset reduced by 42% over the five days; (2) the HMD was removed 31% less frequently over the five days but for 41% longer periods; (3) wearing an HMD is disruptive to normal patterns of eating and drinking, but not to social interactions, such as talking. The combined findings in this work demonstrate the value of long-term studies of deployed VR systems and can be used to inform the design of better, more ergonomic VR systems as tools for knowledge workers.
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http://dx.doi.org/10.1109/TVCG.2024.3372048 | DOI Listing |
Chem Biodivers
December 2024
Latvian Institute of Organic Synthesis, Natural Products, Riga, Latvia, LV-1006, Riga, LATVIA.
Kitasatospora continue to be a rich source of chemically diverse and bioactive peptide natural products. This review highlights two strategies in peptide natural products research of Kitasatospora, 1) natural product-first approach guided by a major compound, biological activity or genomic analysis, and 2) enzyme-first approach guided by bioinformatic tools to construct a sequence similarity network for the discovery of biosynthetic enzymes. The structures of peptides, biosynthetic origins of unique building blocks, recent reports of post-translational modifying enzymes for constructing these peptides, and knowledge gap in biosynthesis will also be presented.
View Article and Find Full Text PDFJMIR Form Res
December 2024
Department of Psychiatry & Behavioral Sciences, University of Minnesota, Minneapolis, MN, United States.
Background: Anxiety disorders are common in alcohol use disorder (AUD) treatment patients. Such co-occurring conditions ("comorbidity") have negative prognostic implications for AUD treatment outcomes, yet they commonly go unaddressed in standard AUD care. Over a decade ago, we developed and validated a cognitive behavioral therapy intervention to supplement standard AUD care that, when delivered by trained therapists, improves outcomes in comorbid patients.
View Article and Find Full Text PDFHeadache
December 2024
Department of Otolaryngology - Head and Neck Surgery, University of California - San Francisco School of Medicine, San Francisco, California, USA.
Background: Vestibular migraine (VM) has a wide range of clinical presentations that can have a significant negative impact on quality of life. Currently, there is no objective test available to confirm the diagnosis or measure the severity of VM. The only available tools for assessing disease severity are patient-reported outcome measures (PROMs), such as the Dizziness Handicap Inventory (DHI).
View Article and Find Full Text PDFHealth Care Sci
December 2024
Centre for Quantitative Medicine, Duke-NUS Medical School Singapore.
Background: Pneumothorax is a medical emergency caused by the abnormal accumulation of air in the pleural space-the potential space between the lungs and chest wall. On 2D chest radiographs, pneumothorax occurs within the thoracic cavity and outside of the mediastinum, and we refer to this area as "lung + space." While deep learning (DL) has increasingly been utilized to segment pneumothorax lesions in chest radiographs, many existing DL models employ an end-to-end approach.
View Article and Find Full Text PDFCureus
November 2024
Department of Orthopedic Surgery, Stony Brook University, Stony Brook, USA.
Background The generation of innovative research ideas is crucial to advancing the field of medicine. As physicians face increasingly demanding clinical schedules, it is important to identify tools that may expedite the research process. Artificial intelligence may offer a promising solution by enabling the efficient generation of novel research ideas.
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