Investigating Multiple Roles of Vocal Confidence in Persuasion

Although persuasion often occurs via oral communication, it remains a comparatively understudied area. This research tested the hypothesis that changes in three properties of voice influence perceptions of speaker confidence, which in turn differentially affects attitudes according to different underlying psychological processes that the Elaboration Likelihood Model (ELM, Petty & Cacioppo, 1984), suggests should emerge under different levels of thought. Experiment 1 was a 2 (Elaboration: high vs. low) x 2 (Vocal speed: increased speed vs. decreased speed) x 2 (Vocal intonation: falling intonation vs. rising intonation) between participants factorial design. Vocal speed and vocal intonation influenced perceptions of speaker confidence as predicted. In line with the ELM, under high elaboration, confidence biased thought favorability, which in turn influenced attitudes. Under low elaboration, confidence did not bias thoughts but rather directly influenced attitudes as a peripheral cue. Experiment 2 used a similar design as Experiment 1 but focused on vocal pitch. Results confirmed pitch influenced perceptions of confidence as predicted. Importantly, we also replicated the bias and cue processes found in Experiment 1. Experiment 3 investigated the process by which a broader spectrum of speech rate influenced persuasion under moderate elaboration. In a 2 (Argument quality: strong vs. weak) x 4 (Vocal speed: extremely slow vs. moderately slow vs. moderately fast vs. extremely fast) between participants factorial design, results confirmed the hypothesized non-linear relationship between speech rate and perceptions of confidence. In line with the ELM, speech rate influenced persuasion based on the amount of processing. Experiment 4 investigated the effects of a broader spectrum of vocal intonation on persuasion under moderate elaboration and used a similar design as Experiment 3. Results indicated a partial success of our vocal intonation manipulation. No evidence was found to support the hypothesized mechanism. These studies show that changes in several different properties of voice can influence the extent to which others perceive them as confident. Importantly, evidence suggests different vocal properties influence persuasion by the same bias and cue processes under high and low thought. Evidence also suggests that under moderate thought, speech rate influences persuasion based on the amount of processing.

Karst hazard analysis towards the development of predictive karst models for southern Ontario

An investigation into karst hazard in southern Ontario has been undertaken with the intention of leading to the development of predictive karst models for this region. The reason these are not currently feasible is a lack of sufficient karst data, though this is not entirely due to the lack of karst features. Geophysical data was collected at Lake on the Mountain, Ontario as part of this karst investigation. This data was collected in order to validate the long-standing hypothesis that Lake on the Mountain was formed from a sinkhole collapse. Sub-bottom acoustic profiling data was collected in order to image the lake bottom sediments and bedrock. Vertical bedrock features interpreted as solutionally enlarged fractures were taken as evidence for karst processes on the lake bottom. Additionally, the bedrock topography shows a narrower and more elongated basin than was previously identified, and this also lies parallel to a mapped fault system in the area. This suggests that Lake on the Mountain was formed over a fault zone which also supports the sinkhole hypothesis as it would provide groundwater pathways for karst dissolution to occur. Previous sediment cores suggest that Lake on the Mountain would have formed at some point during the Wisconsinan glaciation with glacial meltwater and glacial loading as potential contributing factors to sinkhole development. A probabilistic karst model for the state of Kentucky, USA, has been generated using the Weights of Evidence method. This model is presented as an example of the predictive capabilities of these kind of data-driven modelling techniques and to show how such models could be applied to karst in Ontario. The model was able to classify 70% of the validation dataset correctly while minimizing false positive identifications. This is moderately successful and could stand to be improved. Finally, suggestions to improving the current karst model of southern Ontario are suggested with the goal of increasing investigation into karst in Ontario and streamlining the reporting system for sinkholes, caves, and other karst features so as to improve the current Ontario karst database.

SENSORIMOTOR WORKING MEMORY CAPACITY LIMITS

Two novel studies examining the capacity and characteristics of working memory for object weights, experienced through lifting, were completed. Both studies employed visually identical objects of varying weight and focused on memories linking object locations and weights. Whereas numerous studies have examined the capacity of visual working memory, the capacity of sensorimotor memory involved in motor control and object manipulation has not yet been explored. In addition to assessing working memory for object weights using an explicit perceptual test, we also assessed memory for weight using an implicit measure based on motor performance. The vertical lifting or LF and the horizontal GF applied during lifts, measured from force sensors embedded in the object handles, were used to assess participants’ ability to predict object weights. In Experiment 1, participants were presented with sets of 3, 4, 5, 7 or 9 objects. They lifted each object in the set and then repeated this procedure 10 times with the objects lifted either in a fixed or random order. Sensorimotor memory was examined by assessing, as a function of object set size, how lifting forces changed across successive lifts of a given object. The results indicated that force scaling for weight improved across the repetitions of lifts, and was better for smaller set sizes when compared to the larger set sizes, with the latter effect being clearest when objects were lifting in a random order. However, in general the observed force scaling was poorly scaled. In Experiment 2, working memory was examined in two ways: by determining participants’ ability to detect a change in the weight of one of 3 to 6 objects lifted twice, and by simultaneously measuring the fingertip forces applied when lifting the objects. The results showed that, even when presented with 6 objects, participants were extremely accurate in explicitly detecting which object changed weight. In addition, force scaling for object weight, which was generally quite weak, was similar across set sizes. Thus, a capacity limit less than 6 was not found for either the explicit or implicit measures collected.

Towards Mapping of Rock Walls Using a UAV-Mounted 2D Laser Scanner in GPS Denied Environments

In geotechnical engineering, the stability of rock excavations and walls is estimated by using tools that include a map of the orientations of exposed rock faces. However, measuring these orientations by using conventional methods can be time consuming, sometimes dangerous, and is limited to regions of the exposed rock that are reachable by a human. This thesis introduces a 2D, simulated, quadcopter-based rock wall mapping algorithm for GPS denied environments such as underground mines or near high walls on surface. The proposed algorithm employs techniques from the field of robotics known as simultaneous localization and mapping (SLAM) and is a step towards 3D rock wall mapping. Not only are quadcopters agile, but they can hover. This is very useful for confined spaces such as underground or near rock walls. The quadcopter requires sensors to enable self localization and mapping in dark, confined and GPS denied environments. However, these sensors are limited by the quadcopter payload and power restrictions. Because of these restrictions, a light weight 2D laser scanner is proposed. As a first step towards a 3D mapping algorithm, this thesis proposes a simplified scenario in which a simulated 1D laser range finder and 2D IMU are mounted on a quadcopter that is moving on a plane. Because the 1D laser does not provide enough information to map the 2D world from a single measurement, many measurements are combined over the trajectory of the quadcopter. Least Squares Optimization (LSO) is used to optimize the estimated trajectory and rock face for all data collected over the length of a light. Simulation results show that the mapping algorithm developed is a good first step. It shows that by combining measurements over a trajectory, the scanned rock face can be estimated using a lower-dimensional range sensor. A swathing manoeuvre is introduced as a way to promote loop closures within a short time period, thus reducing accumulated error. Some suggestions on how to improve the algorithm are also provided.

The application of PCA as a movement pattern recognition technique: A proof of principle

Quantitative methods can help us understand how underlying attributes contribute to movement patterns. Applying principal components analysis (PCA) to whole-body motion data may provide an objective data-driven method to identify unique and statistically important movement patterns. Therefore, the primary purpose of this study was to determine if athletes’ movement patterns can be differentiated based on skill level or sport played using PCA. Motion capture data from 542 athletes performing three sport-screening movements (i.e. bird-dog, drop jump, T-balance) were analyzed. A PCA-based pattern recognition technique was used to analyze the data. Prior to analyzing the effects of skill level or sport on movement patterns, methodological considerations related to motion analysis reference coordinate system were assessed. All analyses were addressed as case-studies. For the first case study, referencing motion data to a global (lab-based) coordinate system compared to a local (segment-based) coordinate system affected the ability to interpret important movement features. Furthermore, for the second case study, where the interpretability of PCs was assessed when data were referenced to a stationary versus a moving segment-based coordinate system, PCs were more interpretable when data were referenced to a stationary coordinate system for both the bird-dog and T-balance task. As a result of the findings from case study 1 and 2, only stationary segment-based coordinate systems were used in cases 3 and 4. During the bird-dog task, elite athletes had significantly lower scores compared to recreational athletes for principal component (PC) 1. For the T-balance movement, elite athletes had significantly lower scores compared to recreational athletes for PC 2. In both analyses the lower scores in elite athletes represented a greater range of motion. Finally, case study 4 reported differences in athletes’ movement patterns who competed in different sports, and significant differences in technique were detected during the bird-dog task. Through these case studies, this thesis highlights the feasibility of applying PCA as a movement pattern recognition technique in athletes. Future research can build on this proof-of-principle work to develop robust quantitative methods to help us better understand how underlying attributes (e.g. height, sex, ability, injury history, training type) contribute to performance.

Provenance of Holocene Calcareous Aeolianites, Eastern South Australia

The southeastern coast of South Australia contains a spectacular and world-renown suite of Quaternary calcareous aeolianites. This study is focused on the provenance of components in the Holocene sector of this carbonate breach-dune succession. Research was carried out along seven transects from ~30 meters water depth offshore across the beach and into the dunes. Offshore sediments were acquired via grab sampling and SCUBA. Results indicate that dunes of the southern Lacepede and Otway coasts in particular are mostly composed of modern invertebrate and calcareous algal allochems. The most numerous grains are from molluscs, benthic foraminifera, coralline algae, echinoids, and bryozoans. These particles originate in carbonate factories such as macroalgal forests, rocky reefs, seagrass meadows, and low-relief seafloor rockgrounds. The incorporation of carbonate skeletons into coastal dunes, however, depends on a combination of; 1) the infauna within intertidal and nearshore environments, 2) the physical characteristics of different allochems and their ability to withstand fragmentation and abrasion, 3) the wave and swell climate, and 4) the nature of aeolian transport. Most aeolian dune sediment is derived from nearshore and intertidal carbonate factories. This is particularly well illustrated by the abundance of robust infaunal bivalves that inhabit the nearshore sands and virtual absence of bryozoans that are common as sediment particles in water depths > 10mwd. Thus, the calcareous aeolianites in this cool-water carbonate region are not a reflection of the offshore marine shelf factories, but more a product of shallow nearshore-intertidal biomes.

Investigating the Role of PDE4D1/2 in Vascular Smooth Muscle Cell Desensitization

Vascular smooth muscle cell (VSMC) behaviour and phenotypic modulation is critical to vessel repair following damage, and the progression of various cardiovascular diseases. The second messenger cyclic adenosine monophosphosphate (cAMP) plays a key role in VSMC function under the synthetic/activated phenotype, which is typically associated with unhealthy cell behaviour. Consequently, cAMP signaling is often targeted in attempts to impact several pathological diseases, including atherosclerosis, restenosis, and pulmonary arterial hypertension (PAH). The cyclic nucleotide phosphodiesterases (PDEs) catalyze hydrolysis of cAMP to an inactive form, and therefore directly regulate cAMP signaling. The PDE4D family dominates in synthetic VSMCs, and there is considerable interest in determining how distinct PDE4D isoforms affect cell function. Specifically, we are interested in the potential link between short isoforms of PDE4D and VSMC desensitization to pharmacological agents that impact cardiovascular disease via cAMP signaling. This study extends on previous work that assessed the expression of PDE4D splice variants in rat aortic VSMCs following prolonged challenge with cAMP-elevating agents. It was determined that PDE4D1 and PDE4D2 were uniquely expressed in synthetic VSMCs incubated with these agents, and that this upregulation impacted PDE activity and cAMP accumulation in these cells. Here, we report that PDE4D1 and PDE4D2 are markedly upregulated in synthetic human aortic smooth muscle cells (HASMCs) following prolonged challenge with cAMP-elevating agents. Using a combination of RNAi-based and pharmacological approaches, we establish that this upregulation is reflected in levels of cAMP PDE activity, and restricted to the cytosolic sub-cellular compartment. Our results suggest a role for localized PDE4D1 and PDE4D2 activity in regulating cAMP-mediated desensitization in HASMCs, and highlight their therapeutic potential in treating various cardiovascular diseases.

If People Were Kaleidoscopes: Sharpening the Resolution on Patient Engagement in Safety

Healthcare is unacceptably error prone. The question remains why, with 20 years of evidence, is error and harm reduction not being effective? While precise numbers may be debated, all stakeholders recognize the frequency of healthcare errors is unacceptable, and greater efforts to ensure safety must occur. In recent years, one of these strategies has been the inclusion of the patient and their family as partners in safety, and has been a required organizational practice of Accreditation Canada in many of their standard sets. Existing patient advisories created to encourage engagement, have typically not included patient perspectives in their development or been comprehensively evaluated. There are no existing tools to determine if and how a patient wants to be involved in safety engagement. As such, a multi-phased study was undertaken to advance our knowledge about the client’s and family’s role in promoting safety. Phase 1 of the study was a scoping review to methodically review the existing literature about patients’ and families’ attitudes, beliefs and behaviours about their involvement in healthcare safety. Phase 2 was designed to inductively explore how a group of patients in an Ontario, Canada, community hospital, describe healthcare safety and see their role in preventing error. The study findings, which include the narratives of 30 patients and 4 family members, indicate that although there are shared themes that influence a patient’s engagement in patient safety, every individual has unique, changing beliefs, experiences and reasons for involvement. Five conceptual themes emerged from their narratives: Personal Capacity, Experiential Knowledge, Personal Character, Relationships, and Meaning of Safety. These study results will be used to develop and test a pragmatic, accessible tool to enable providers a way to collaborate with patients for determining their personal level and type of safety involvement. The most ethical and responsible approach to healthcare safety is to consider every facet and potential way for improvement. This exploratory study provides fundamental insights into the complexity of patient engagement in safety, and evidence for future steps.

A Restorative Theory of Criminal Justice

In this project, I defend a restorative theory of criminal justice. I argue that the response to criminal wrongdoing in a just society should take the form of an attempt to heal the damage done to the community resulting from crime. I argue that the moral responsibilities of wrongdoers as wrongdoers ought to provide the framework for how a just society should respond to crime. Following the work of R.A. Duff, I argue that wrongdoers incur second-order duties of moral recognition. Wrongdoers owe it to others to recognize their wrongdoing for what it is, i.e. wrongdoing, and to shoulder certain burdens in order to express their repentant recognition to others via a meaningful apology. In short, wrongdoers owe it to their victims and others in the community to make amends. What I will deny, however, is the now familiar claim in the restorative justice literature that restoring the normative relationships in the community damaged by criminal forms of wrongdoing requires retributive punishment. In my view, how we choose to express the judgement that wrongdoers are blameworthy should flow from an all things considered judgment that is neither reducible to the judgement that the wrongdoer is culpably responsible for wronging others, nor the judgement that the wrongdoer in some basic sense “deserves to suffer” (or “deserves punishment,” etc.).

Communication-efficient decentralized sequential detection

The problem of decentralized sequential detection is studied in this thesis, where local sensors are memoryless, receive independent observations, and no feedback from the fusion center. In addition to traditional criteria of detection delay and error probability, we introduce a new constraint: the number of communications between local sensors and the fusion center. This metric is able to reflect both the cost of establishing communication links as well as overall energy consumption over time. A new formulation for communication-efficient decentralized sequential detection is proposed where the overall detection delay is minimized with constraints on both error probabilities and the communication cost. Two types of problems are investigated based on the communication-efficient formulation: decentralized hypothesis testing and decentralized change detection. In the former case, an asymptotically person-by-person optimum detection framework is developed, where the fusion center performs a sequential probability ratio test based on dependent observations. The proposed algorithm utilizes not only reported statistics from local sensors, but also the reporting times. The asymptotically relative efficiency of proposed algorithm with respect to the centralized strategy is expressed in closed form. When the probabilities of false alarm and missed detection are close to one another, a reduced-complexity algorithm is proposed based on a Poisson arrival approximation. In addition, decentralized change detection with a communication cost constraint is also investigated. A person-by-person optimum change detection algorithm is proposed, where transmissions of sensing reports are modeled as a Poisson process. The optimum threshold value is obtained through dynamic programming. An alternative method with a simpler fusion rule is also proposed, where the threshold values in the algorithm are determined by a combination of sequential detection analysis and constrained optimization. In both decentralized hypothesis testing and change detection problems, tradeoffs in parameter choices are investigated through Monte Carlo simulations.

Polymer Light-Emitting Electrochemical Cells with Embedded Bipolar Electrodes: Visualizing Bipolar Electrochemistry in Solid State

The work presented in this thesis examines the properties of BPEs of various configurations and under different operating conditions in a large planar LEC system. Detailed analysis of time-lapsed fluorescence images allows us to calculate the doping propagation speed from the BPEs. By introducing a linear array of BPEs or dispersed ITO particles, multiple light-emitting junctions or a bulk homojunction have been demonstrated. In conclusion, it has been observed that both applied bias voltages and sizes of BPEs affected the electrochemical doping from the BPE. If the applied bias voltage was initially not sufficiently high enough, a delay in appearance of doping from the BPE would take place. Experiments of parallel BPEs with different sizes (large, medium, small) demonstrate that the potential difference across the BPEs has played a vital role in doping initiation. Also, the p-doping propagation distance from medium-sized BPE has displayed an exponential growth over the time-span of 70 seconds. Experiments with a linear array of BPEs with the same size demonstrate that the doping propagation speed of each floating BPE was the same regardless of its position between the driving electrodes. Probing experiments under high driving voltages further demonstrated the potential of having a much more efficient light emission from an LEC with multiple BPEs.

An Integrative Case Study of Positive Youth Development in a Recreational Community Sport Program

Thesis (Ph.D, Kinesiology & Health Studies) -- Queen's University, 2016-07-21 14:22:50.954

Vicarious Power: The Interpersonal Transference of Power

Thesis (Ph.D, Psychology) -- Queen's University, 2016-07-29 15:58:26.695

Medium-Chain-Length Poly (3-Hydroxyalkanoate) Nanoparticle Suspensions

Thesis (Master, Chemical Engineering) -- Queen's University, 2016-08-16 04:58:55.749

The Herpesvirus Nuclear Egress Complex Component, UL31, is Recruited to Sites of DNA Damage Through Poly(ADP-RIBOSE) Binding

Thesis (Master, Biomedical & Molecular Sciences) -- Queen's University, 2016-08-23 15:03:30.807