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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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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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Description

In an anonymous 4-person economic game, participants contributed more money to a common project (i.e., cooperated) when required to decide quickly than when forced to delay their decision (Rand, Greene & Nowak, 2012), a pattern consistent with the social heuristics hypothesis proposed by Rand and colleagues. The results of studies

In an anonymous 4-person economic game, participants contributed more money to a common project (i.e., cooperated) when required to decide quickly than when forced to delay their decision (Rand, Greene & Nowak, 2012), a pattern consistent with the social heuristics hypothesis proposed by Rand and colleagues. The results of studies using time pressure have been mixed, with some replication attempts observing similar patterns (e.g., Rand et al., 2014) and others observing null effects (e.g., Tinghög et al., 2013; Verkoeijen & Bouwmeester, 2014). This Registered Replication Report (RRR) assessed the size and variability of the effect of time pressure on cooperative decisions by combining 21 separate, preregistered replications of the critical conditions from Study 7 of the original article (Rand et al., 2012). The primary planned analysis used data from all participants who were randomly assigned to conditions and who met the protocol inclusion criteria (an intent-to-treat approach that included the 65.9% of participants in the time- pressure condition and 7.5% in the forced-delay condition who did not adhere to the time constraints), and we observed a difference in contributions of −0.37 percentage points compared with an 8.6 percentage point difference calculated from the original data. Analyzing the data as the original article did, including data only for participants who complied with the time constraints, the RRR observed a 10.37 percentage point difference in contributions compared with a 15.31 percentage point difference in the original study. In combination, the results of the intent-to-treat analysis and the compliant-only analysis are consistent with the presence of selection biases and the absence of a causal effect of time pressure on cooperation.

ContributorsBouwmeester, S. (Author) / Verkoeijen, P.P.J.L. (Author) / Aczel, B. (Author) / Barbosa, F. (Author) / Begue, L. (Author) / Branas-Garza, P. (Author) / Chmura, T.G.H. (Author) / Cornelissen, G. (Author) / Dossing, F.S. (Author) / Espin, A.M. (Author) / Evans, A.M. (Author) / Ferreira-Santos, F. (Author) / Fieldler, S. (Author) / Flegr, J. (Author) / Ghaffari, M. (Author) / Gloeckner, A. (Author) / Goeschl, T. (Author) / Guo, L. (Author) / Hauser, O.P. (Author) / Hernan-Gonzalez, R. (Author) / Herrero, A. (Author) / Horne, Z. (Author) / Houdek, P. (Author) / Johannesson, M. (Author) / Koppel, L. (Author) / Kujal, P. (Author) / Laine, T. (Author) / Lohse, J. (Author) / Martins, E.C. (Author) / Mauro, C. (Author) / Mischkowski, D. (Author) / Mukherjee, S. (Author) / Myrseth, K.O.R. (Author) / Navarro-Martinez, D. (Author) / Neal, T.M.S. (Author) / Novakova, J. (Author) / Paga, R. (Author) / Paiva, T.O. (Author) / Palfi, B. (Author) / Piovesan, M. (Author) / Rahal, R.-M. (Author) / Salomon, E. (Author) / Srinivasan, N. (Author) / Srivastava, A. (Author) / Szaszi, B. (Author) / Szollosi, A. (Author) / Thor, K.O. (Author) / Tinghog, G. (Author) / Trueblood, J.S. (Author) / Van Bavel, J.J. (Author) / van't Veer, A.E. (Author) / Vastfjall, D. (Author) / Warner, M. (Author) / Wengstrom, E. (Author) / Wills, J. (Author) / Wollbrant, C.E. (Author)
Created2017-03-01