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The effects of facility animals in the courtroom on juror decision-making

Description
Courthouse dogs (sometimes referred to as facility animals) are expertly trained canines which may be used to assist individuals with psychological, emotional, or physical difficulties in a myriad of courtroom situations. While these animals are increasingly used to assist young witness to court, the jury is still out on whether…

Courthouse dogs (sometimes referred to as facility animals) are expertly trained canines which may be used to assist individuals with psychological, emotional, or physical difficulties in a myriad of courtroom situations. While these animals are increasingly used to assist young witness to court, the jury is still out on whether or not they are prejudicial to the defendant. No known research exists in this area, although research is necessary to determine the possibly prejudicial nature of these animals. Using a mock trial paradigm involving a child sexual abuse case, the current study employed a 2 (Witness type: victim vs. bystander) x 3 (Innovation type: courthouse dog vs. teddy bear vs. none) fully-crossed factorial design. It was hypothesized that witness type and innovation type would interact to differentially impact jurors' judgments about the trial, defendant, and child witness. In addition, it was posited that emotions, such as anger and disgust, would also affect judgments and decision-making. Results indicate that courthouse dogs and comfort toys did impact jurors' decision making in some ways. In addition, emotions and witness credibility predicted sentencing, verdict, and other trial judgments.
ContributorsBurd, Kayla (Author) / Mcquiston, Dawn E (Thesis advisor) / Salerno, Jessica M (Committee member) / Schweitzer, Nicholas J (Committee member) / Arizona State University (Publisher)
Created2013
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Self "sensor"ship: an interdisciplinary investigation of the persuasiveness, social implications, and ethical design of self-sensoring prescriptive applications

Description
This dissertation research investigates the social implications of computing artifacts that make use of sensor driven self-quantification to implicitly or explicitly direct user behaviors. These technologies are referred to here as self-sensoring prescriptive applications (SSPA’s). This genre of technological application has a strong presence in healthcare as a means to…

This dissertation research investigates the social implications of computing artifacts that make use of sensor driven self-quantification to implicitly or explicitly direct user behaviors. These technologies are referred to here as self-sensoring prescriptive applications (SSPA’s). This genre of technological application has a strong presence in healthcare as a means to monitor health, modify behavior, improve health outcomes, and reduce medical costs. However, the commercial sector is quickly adopting SSPA’s as a means to monitor and/or modify consumer behaviors as well (Swan, 2013). These wearable devices typically monitor factors such as movement, heartrate, and respiration; ostensibly to guide the users to better or more informed choices about their physical fitness (Lee & Drake, 2013; Swan, 2012b). However, applications that claim to use biosensor data to assist in mood maintenance and control are entering the market (Bolluyt, 2015), and applications to aid in decision making about consumer products are on the horizon as well (Swan, 2012b). Interestingly, there is little existing research that investigates the direct impact biosensor data have on decision making, nor on the risks, benefits, or regulation of such technologies. The research presented here is inspired by a number of separate but related gaps in existing literature about the social implications of SSPA’s. First, how SSPA’s impact individual and group decision making and attitude formation within non-medical-care domains (e.g. will a message about what product to buy be more persuasive if it claims to have based the recommendation on your biometric information?). Second, how the design and designers of SSPA’s shape social behaviors and third, how these factors are or are not being considered in future design and public policy decisions.
ContributorsBaker, Denise A (Author) / Schweitzer, Nicholas J (Thesis advisor) / Wise, J. MacGregor (Thesis advisor) / Herkert, Joseph R (Committee member) / McDaniel, Troy (Committee member) / Arizona State University (Publisher)
Created2016
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Arizona Nurses Association Member Involvement in Public Policy

Description
The purpose of the study was to determine the level and type of public policy involvement among registered nurses (RN) who are members of the Arizona Nurses Association (AzNA). Furthermore, the aim of the study was to identify the knowledge base and motivation of nurses and their involvement in public…

The purpose of the study was to determine the level and type of public policy involvement among registered nurses (RN) who are members of the Arizona Nurses Association (AzNA). Furthermore, the aim of the study was to identify the knowledge base and motivation of nurses and their involvement in public policy as well as the barriers and benefits. A 20- item survey was sent to all of the members of AzNA. There were 39 responses used in the analysis. The highest reported public policy activities in which the nurses had participated were: voted (90%), contacted a public official (51%), and gave money to a campaign or for a public policy concern (46%). Lack of time was the most frequently reported barrier to involvement and improving the health of the public was the most frequently reported benefit to involvement. The number of public policy education/information sources and the highest level of education positively correlate to the nurses' total number of public policy activities (r = .627 p <0.05; r = .504, p <0.05). Based on the results of stepwise linear regression analysis, the participants' age, number of education/information sources, and efficacy expectation predict 68.8% of involvement in public policy activities. The greater the number of education/information sources, the greater the number of public policy activities nurses report having participated in.
ContributorsHartman, Mykaila Corrine (Author) / Stevens, Carol (Thesis director) / Munoz, Aliria (Committee member) / Link, Denise (Committee member) / Arizona State University. College of Nursing & Healthcare Innovation (Contributor) / Barrett, The Honors College (Contributor)
Created2015-12
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Increasing Perimenopausal Patient and Clinician Satisfaction with Care Through Use of Shared Decision Making

Description

Vasomotor symptoms (VMS) associated with menopause vary greatly, as do the multitude of available treatment options. It can be difficult for clinicians to manage these symptoms while balancing patient safety concerns and preferences. Shared decision-making (SDM) can assist both the provider and patient to navigate the various treatment options, minimizing…

Vasomotor symptoms (VMS) associated with menopause vary greatly, as do the multitude of available treatment options. It can be difficult for clinicians to manage these symptoms while balancing patient safety concerns and preferences. Shared decision-making (SDM) can assist both the provider and patient to navigate the various treatment options, minimizing gaps between their preferences.

To assess the effect of SDM in a nurse-led practice in the Southwest, two nurse practitioners (NP) were invited to use a menopausal decision aid (DA). Women aged 40 to 64 years experiencing VMS were invited to participate in the project. Following a visit with the NP in which the DA was used, patients completed a six question post-intervention survey based on both the Decisional Conflict Scale (DCS) and SDM-Q-9 surveys. Patients were also asked to complete a telephone interview about the process 1-2 weeks post-intervention. The NP completed a post-intervention survey based on the SDM-Q-Doc to assess clinician satisfaction with the SDM process. Eight patients (mean age, 47.9 years), presenting with a range of 2 to 6 perimenopausal symptoms participated in the project.

All patients (100%) strongly or completely agreed that the clinician precisely explained the advantages & disadvantages of treatment options, helped them understand all the information, reached an agreement on how to proceed with care, and were extremely satisfied or satisfied with their decision and making an informed choice. Both clinicians completely agreed they had come to an agreement on how to proceed, and completely or strongly agreed they helped the patient understand all information. There was a correlation between the use of SDM patient’s age, making an informed choice, and being satisfied with their decision. Incorporating a perimenopausal DA can enhance patient and clinician satisfaction with SDM to understand their treatment options and make an informed menopausal decision.
ContributorsPuttbrese, AnnMarie (Author) / Link, Denise (Thesis advisor)
Created2017-05-03