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- All Subjects: Depression
Description
This paper presents the results of an empirical analysis of deceptive data visualizations paired with explanatory text. Data visualizations are used to communicate information about important social issues to large audiences and are found in the news, social media, and the Internet (Kirk, 2012). Modern technology and software allow people and organizations to easily produce and publish data visualizations, contributing to data visualizations becoming more prevalent as a means of communicating important information (Sue & Griffin, 2016). Ethical transgressions in data visualizations are the intentional or unintentional use of deceptive techniques with the potential of altering the audience’s understanding of the information being presented (Pandey et al., 2015). While many have discussed the importance of ethics in data visualization, scientists have only recently started to look at how deceptive data visualizations affect the reader. This study was administered as an on-line user survey and was designed to test the deceptive potential of data visualizations when they are accompanied by a paragraph of text. The study consisted of a demographic questionnaire, chart familiarity assessment, and data visualization survey. A total of 256 participants completed the survey and were evenly distributed between a control (non-deceptive) survey or a test (deceptive) survey in which participant were asked to observe a paragraph of text and data visualization paired together. Participants then answered a question relevant to the observed information to measure how they perceived the information to be. The individual differences between demographic groups and their responses were analyzed to understand how these groups reacted to deceptive data visualizations compared to the control group. The results of the study confirmed that deceptive techniques in data visualizations caused participants to misinterpret the information in the deceptive data visualizations even when they were accompanied by a paragraph of explanatory text. Furthermore, certain demographics and comfort levels with chart types were more susceptible to certain types of deceptive techniques. These results highlight the importance of education and practice in the area of data visualizations to ensure deceptive practices are not utilized and to avoid potential misinformation, especially when information can be called into question.
ContributorsO'Brien, Shaun (Author) / Laure, Claire (Thesis advisor) / Brumberger, Eva (Committee member) / D'Angelo, Barbara J. (Committee member) / Arizona State University (Publisher)
Created2017
Description
Grubhub's user reviews from the Apple IOS store were analyzed to provide alternate user experience (UX) solutions through answering the following:
1. How is Grubhub's mobile app meeting user expectations?
2. How can Grubhub improve the mobile app experience?
ContributorsDiaz, Samantha (Author) / Harris, LaVerne Abe (Degree committee member) / D'Angelo, Barbara J. (Degree committee member) / Mara, Andrew (Degree committee member)
Created2019-12-13
Description
Loneliness and depression in older adults are under-recognized public health concerns that increase risks for all-cause mortality, medical morbidity, and rising healthcare costs. This quality improvement project assessed whether smartphone Mindfulness software mitigated self-reported feelings of loneliness and depression among community-dwelling older adults. Nine participants aged 65 and older, living at home, experiencing loneliness or depression, and owning a smartphone were recruited using newsletters and fliers. A short demographics questionnaire and two valid and reliable instruments, namely the University of California Los Angeles Loneliness Scale (UCLA V3) and Geriatric Depression Scale (GDS), were used in pre-intervention and four weeks post-intervention. Participants downloaded the UCLA Mindful app on their smartphones after attending a 20-minute Mindfulness education at a local church banquet room. Participants used the UCLA Mindful software twice weekly for ten minutes for four weeks. Of the nine participants, three completed the study. A two-tailed paired sample t-test and descriptive analysis were used to evaluate the efficacy of the UCLA Mindful smartphone software. The results of the two-tailed paired sample t-test were not statistically significant for the UCLA V3 Loneliness scale (p=.220) and GDS (p=.208) due to the small sample size. Although the results were negligible, participants nevertheless reported favorable impacts. Future research with a larger sample size is encouraged.
ContributorsMurdock, J. Kristine (Author) / Guthery, Ann (Thesis advisor) / College of Nursing and Health Innovation (Contributor)
Created2023-04-26
Description
Introduction: Depression screening in the pediatric setting is a crucial part of the adolescent's examination. A standardized screening tool and protocol streamlines the process of assessing adolescents and minimizes the chances of serious mental health disorders going undetected and untreated. Evaluation of current evidence demonstrates the use of a standardized tool improves detection, diagnosis, and management of depression and other mental health illnesses.
Method: The Patient Health Questionnaire—modified for adolescents (PHQ9-A) was administered to all eligible adolescents, ages 12-18, during an annual well visit for a period of 6 weeks. Lewin's Change Theory guided a system change in the electronic health record, and the questionnaire results were documented and provided to the pediatric provider at the time of the appointment. A chart review was conducted to determine whether all eligible patients were administered the questionnaire and if a depression diagnosis or mental health referral had been made.
Results: Out of 76 eligible well visits, 65 (86%) patients completed the PHQ9-A. The average score was 5.29 (SD = 6.49) with a maximum score of 25. Out of those that completed screening, 11 (17%) had a positive PHQ9-A score resulting in 8 referrals to mental health services and 2 mental health diagnoses in the clinic.
ContributorsCoomer, Meagan (Author) / Rauton, Monica (Thesis advisor) / College of Nursing and Health Innovation (Contributor)
Created2023-04-27