<p>The spread of influenza A subtype H5N1 has recently heightened pandemic concern and preparedness for a pandemic influenza virus has become a global priority. Research in risk communication emphasizes the importance of providing the recipients with information they need to make informed independent judgments. This entails understanding how these judgments are made, and what kind of information that serves this purpose. Decisions have been examined in a wide variety of scientific disciplines and produced several interesting methods and models to understand judgment and decisions. These methods and models were investigated and compared with regard to their fit to these conditions.</p><p>The work in this thesis was oriented toward three main questions. The first question was how to find out how people would react during an emergency. The second question was what kind of research in decision theory could explain and be used to predict these results. The third question was whether a mental model of the threat of pandemic influenza can be described, and what is its implication on risk communication.</p><p>A mental model approach to explore risk communications was used with qualitative interviews with health care workers in Östergötland, Sweden. The transcripts were analyzed according to methods drawn from mental models research and risk communication to extract influence diagrams. These influence diagrams serves as an abstract representation of the respondents’ mental model of the threat of pandemic influenza. This influence diagram was compared to a corresponding expert mental model developed from literature and interviews with influenza experts.</p><p>The mental models approach has been shown to provide a description of comprehension with several benefits. One benefit is that the method is a relatively easy way to gather notions in the target population which can be used for drafting risk information. Another benefit is that the existing notions and sense of causal patterns can be described, instead of merely memorized facts.</p><p>The comparison between the mental models of health care workers and influenza experts revealed both functional and destructive misconceptions. Unrelated information received by the respondents was also shown to be linked together in a way that is in conflict with expert knowledge. This tendency to create causal connections in order to organize knowledge may be important to consider in risk communication.</p>

Solving physics problem in university physics education with a computational approach requires knowledge and skills in several domains, for example, physics, mathematics, programming, and modelling. These competences are in turn related to students' beliefs about these domains as well as about learning, and their motivation to learn. The purpose of this thesis was to investigate the role of university physics students' knowledge, beliefs and motivation when solving and visualizing a physics problem using a computational approach. The results showed that expert-like beliefs about physics and learning physics together with prior knowledge were important predictors of the quality of performance. Feelings corresponding to control and concentration, i.e., emotions that are expected to be good indicators of students' motivation were also good predictors of performance. However, intrinsic motivation, as indicated by enjoyment and interest, together with beliefs expressing students' personal interest and utility value, did not predict performance to any higher extent. Instead, my results indicate that integration and identification of expert-like beliefs about learning and concentration and control emotions during learning are more influential on the quality of performance. Thus, the results suggest that the development of students' epistemological beliefs is important for students' ability to learn from realistic problem-solving situations with many degrees of freedom in physics education. In order to investigate knowledge and beliefs structures network modeling has been applied as a novel tool for analysis. Students' epistemic frames are analyzed before and after the task in computational physics using a network analysis approach on interview transcripts, producing visual representations of mental models. The results show that students change their epistemic framing from a modelling task, with expectancies about learning programming, to a physics task, in which they are challenged to use physics principles and conservation laws in order to troubleshoot and understand their simulations. This implies that the task, even though it is not introducing any new physics, helped the students to develop a more consistent view of the importance of using physics principles in problem solving. When comparing students' framing with teachers,' it is shown that although teachers and students agree on the main features of simulation competence in physics, differences in their epistemic networks can be distinguished. For example, while teachers believe that numerical problem solving facilitates fundamental understanding of physics and mathematics, this is not obvious to students. This implies that university teachers need to be aware of these differences as well as students' beliefs in order to challenge students' expectations and to give support concerning the learning objectives of the assignment.

In general academic research and discussion on stand-alone games or the broader computer games, scholars often use questionnaires and quantitative methods to analyze consumers' perceptions and opinions of game-related issues. Due to the limitations in research methods, previous research results are somewhat difficulty to make marketing companies or decision-making departments deeply understand consumers' ultimate mental imagery and consensus mode. Therefore, nowadays stand-alone game companies often spent a lot of expenses, but can not produce the games that meet consumers' core demand. According to the report released on September 7 2011 by the U.S. market survey center, DFC Intelligence, which specializes in the video game market, it estimates that the scale of the global market of video games will grow to 81 billion U.S. dollars in 2016 from 66 billion U.S. dolloars in 2010. This figure not only symbolizes the boom and huge business opportunities of game market but also affects the changes of the next-generation video game industry, which highlights the importance of conducting related research. This study uses a mental image mode, ZMET metaphor extraction techniques, invented by Harvard University Professor Zaltman as the research method, trying to elicit contruct factors of six senior consumers for the stand-alone game, FINAL FANTASY VII, through image analysis. Research results can provide marketing implications to stand-alone game companies so that they can understand consumer needs and expectations by the imagery constructs and mental models of the senior players. The results of ZMET technical analysis got a total of 122 different constructs from six respondents, from which 49 common constructs were further extracted. This study found HVM hierarchical value consensus mental map among the six senior players and clarified the evolution of the six respondents' imagery constructs of the game and consensus model. As to the final structure constructs in HVM hierarchical value map, five ultimate values are identified, "players' favorability", "looking to the future," "witness", "dreams come true", and "classic". The ultimate values combined by the five non-verbal information can provide marketers and game designers in stand-alone game companies, a reference for future marketing decisions. Additionally, based on the research findings, marketers can design better stand-alone games that meet consumer demands, in order to effectively increase the sales and economic benefits for game companies.

In today’s competitive market, it is essential to be innovative and creative for an industry to sustain. Industry need to introduce new products to the market. Engineering idea generation plays a vital role in the development of new products. This research study is focused on the engineering idea generation. The representations of ideas have an important impact on the idea generation process. Design concepts may be represented in a variety of forms like sketches, physical models or computer based models. The goal of this research is to understand how these various representations affect design cognition. In this thesis, three studies showing the effects of two different representations in the idea generation process are presented. The first study focuses on the effects of physical models in engineers’ design cognition. This preliminary study investigates two different hypotheses: (1) Physical models supplement and improve designer’s mental models and (2) Physical models induce design fixation. The results show that physical models supplement the designer’s mental models but fail to enhance them. No evidence of design fixation is observed. The second and third studies investigate the effects of computer-based idea generation software on design cognition. The research questions investigated in this study are: (1) How does the use of this software tool assist design cognition? (2) How can the software interface be improved so that designers can generate ideas more easily? To answer these questions, a between-subjects idea generation experiment is conducted. In the experiment, the participants are asked to generate ideas to solve a design problem with and without the software. The results show that participants who generated ideas with the help of the software tool have less quantity of ideas compared to the control group. This may be due to the design fixation induced by the concepts presented. In the third study, the opinions of the participants for the improvements of the software interface are collected. Results show that participants do not have any preference of one way of clustering the concepts over the other. The results of this study also provide creative input for the future improvement of the software.

The primary purpose of this study was to determine the effectiveness of implementing desktop 3-dimensional (3D) stereo images of human anatomy into an undergraduate human anatomy distance laboratory. User perceptions of 2D and 3D images were gathered via questionnaire in order to determine ease of use and level of satisfaction associated with the 3D software in the online learning environment. Mayer's (2001, p. 184) principles of design were used to develop the study materials that consisted of PowerPoint presentations and AVI files accessed via Blackboard. The research design employed a mixed-methods approach. Volunteers each were administered a demographic survey and were then stratified into groups based upon pre-test scores. A total sample size of 62 pairs was available for combined data analysis. Quantitative research questions regarding the effectiveness of 2D versus the 3D treatment were analyzed using a doubly-multivariate repeated measures (Doubly- MANOVA) design. Paired test scores achieved by undergraduates on a laboratory practical of identification and spatial relationships of the bones and features of a human skull were used in the analysis. The questionnaire designed to gather user perceptions consisted of quantitative and qualitative questions. Response frequencies were analyzed for the two groups and common themes were noted. Results revealed a statistically significant difference in group means for the main effect of the treatment groups 2D and 3D and for the variables of identification and relationship with the 3D group outperforming the 2D group on both dependent variables. Effect sizes were determined to be small, 0.215 for the identification variable and 0.359 for the relationship variable. Overall, all students liked the convenience of using PowerPoint and AVI files online. The 3D group felt their PowerPoint was more realistic than did the 2D group and both groups appreciated the detailed labeling of the online images. One third of the volunteers in the 3D group indicated that "eye strain" was what they liked least about working with the 3D images. Results indicate that desktop, stereo imaging may be incorporated effectively into online anatomy and physiology courses, but that more work needs to be done to ensure less eye strain.

This study explored what cognitive resources (i.e., units of knowledge necessary to learn) first-semester organic chemistry students used to make decisions about acid strength and how those resources guided the prediction, explanation and justification of trends in acid strength. We were specifically interested in the identifying and characterizing the mental models, assumptions and heuristics that students relied upon to make their decisions, in most cases under time constraints. The views about acids and acid strength were investigated for twenty undergraduate students. Data sources for this study included written responses and individual interviews.The data was analyzed using a qualitative methodology to answer five research questions. Data analysis regarding these research questions was based on existing theoretical frameworks: problem representation (Chi, Feltovich & Glaser, 1981), mental models (Johnson-Laird, 1983); intuitive assumptions (Talanquer, 2006), and heuristics (Evans, 2008). These frameworks were combined to develop the framework from which our data were analyzed.Results indicated that first-semester organic chemistry students' use of cognitive resources was complex and dependent on their understanding of the behavior of acids. Expressed mental models were generated using prior knowledge and assumptions about acids and acid strength; these models were then employed to make decisions. Explicit and implicit features of the compounds in each task mediated participants' attention, which triggered the use of a very limited number of heuristics, or shortcut reasoning strategies. Many students, however, were able to apply more effortful analytic reasoning, though correct trends were predicted infrequently. Most students continued to use their mental models, assumptions and heuristics to explain a given trend in acid strength and to justify their predicted trends, but the tasks influenced a few students to shift from one model to another model. An emergent finding from this project was that the problem representation greatly influenced students' ability to make correct predictions in acid strength.

This dissertation introduces the model of opportunistic adaptation to explain new venture growth. In established firms processes of change and adaptation usually imply a transition from one steady-state strategy to another and a problem oriented perspective as firms change in response to potential threats to their current positions. However, in the context of new ventures, adaptation is less about moving from one existent strategy to another and more about the entrepreneur’s effort to reach a steady state for the first time by continuously experimenting and combining resources in creative and innovative ways. The model of opportunistic adaptation rests on three key assumptions: 1.) new venture growth results from actions grounded in an opportunistic (proactive) logic; 2.) entrepreneurial cognition is viewed as an antecedent to all organizational actions leading to growth; 3.) the relationship between entrepreneurial cognition and action is influenced by industry and firm level attributes. The model is tested using quantitative and qualitative data on new ventures founded between 1996 and 2006 in technology intensive industries. The results provide partial support for the notion of opportunistic adaptation as a process in which entrepreneurial cognition, firm and industry related factors are closely intertwined. The results of the dissertation suggest that some aspects of entrepreneurial cognition, such as entrepreneurial schema focus have a more direct effect on actions related to new venture growth than others whose effect is strongly moderated by contextual influences such as industry growth and social network heterogeneity. This dissertation also finds that not all types of organizational actions associated with an opportunity logic lead to new venture growth. Of the three action types included in the model (fast, diverse and frequent) only action diversity was found to have a positive impact on new venture growth. Theoretical implications of the study results for both the literature on new venture growth and the literature on organizational adaptation, as well as practical implications are discussed.

The current state of organizational environmental management is inadequate to face the risks posed by the natural environment such as resource scarcities resulting from natural, social and/or economic processes such as increases in extreme weather events, natural resources-based conflicts, regulatory restrictions, or trading commodities fluctuations. These changes to the organizational environment call for adaptation so that we may maintain our ability to produce and function sustainably. Organizations need to adopt practices and processes that consider the natural environment. The adoption of environmental management practices and processes has, however, met barriers. Faced with initiatives that promise considerable financial and environmental benefits, research has reported resistance to buy-in. I suggest that perception barriers, imbedded in language, have a role to play in this lack of change. I propose that individual’s mental model of the organization filters information for decision-making based on language. I suggest that the linguistic repertoire of communities of practice is used to filter information relevant to organizational decision-making. A quantitative study showed that differences in community of practice linguistic repertoires are found between the environmental and business communities. In addition, varying levels of familiarity with the repertoire of a community of practice were explored to determine whether community membership is reflected in the linguistic repertoires of individuals. The results suggested that the familiarity of graduate students with the linguistic repertoire of the community of practice they were studying was more akin to membership in a community of interest than a community of practice. In addition, the results suggested that environmental and business communities held opposing sets of relevant linguistic repertoires, providing grounds for communication barriers. Finally, in addition to exploring language’s potential as a barrier and opportunity for change, the in individual’s mental models ability to change was explored. Through case study observations, I showed that a change in the individual’s mental model of the organization could result from participation in an eco-efficiency program. The participants, high-level decision-makers in the organizations, introduced the natural environment as a new aspect to their future decision-making process following participation. Contributions to management and social theory are also discussed. / À mon frère Pascal Perron, il aurait été si fier. - To my brother Pascal Perron, he would have been so proud.

The purpose of the present study were to (a) explore the relationship between the frequency of use of Rapid Response Teams (RRTs) by hospital staff nurses and the support received from RRTs; (b) to investigate staff nurses’ perceptions of their individual level, group level and organizational level learning as a result of single or multiple exposures to the RRT; (c) to identify predictors of learning outcomes and (d) to identify overall impressions and advantages and disadvantages of the RRT. A mail survey was used to collect data. The response responses rate was 33%, 131 registered nurses responded to the survey (pre-test = 12, study = 119). The results of Pearson r correlation suggest that a high frequency of access of RRTs was positively related to process support (r = .25, p < .01). Also, perceived content and process support from RRTs was positively related to maintenance and building of staff nurses’ mental models regarding patient deterioration pertaining to self, group and organization. Multiple regression analyses show that sociodemographic and independent variables predict organizational learning outcomes (mental model maintenance and building). Overall impressions of the RRTs were high. A content analysis of nurses’ comments indicated that there were more advantages to having the RRTs than disadvantages. This study suggests that RRTs are influential in changing nurses’ perceptions about managing patient deterioration. Training programs for RRTs should include both content and process support, which may enhance building and maintaining mental models. / Thesis (Master, Nursing) -- Queen's University, 2008-09-25 21:27:44.682

Despite disaster managers’ best efforts, inter-organizational disaster management suffers from varying levels of success. One factor that is likely to account for these variations is team mutual understanding, also known as common ground. To validate the potential effect of common ground in disaster management, the thesis investigates common ground in several interviews with disaster managers and in an experimental study involving an inter-organizational disaster event scenario. Analysis of interviews revealed that disaster managers perceived gaps in understanding between responders, the importance of mutual understanding, and perceived common ground similarly to depictions in theory with a few exceptions. Analyses of the experimental study indicated that contextual factors of Team composition, Problem solving approach and Type of tasks differently impacted measures of performance and implicit coordination, and that implicit coordination partially mediated and supressed the relationship between contextual factors and decision quality. Findings suggest the variation in disaster managers’ performance can be ascribed to common ground, implicit coordination, and contextual factors. Moreover, results showed the satisfaction with outcome did not correlate with expert rated quality of decision; and that while satisfaction related to consensus and quality of the decision was linked to generating alternative ideas and debate. Collaboration proved to be more effective in public communication tasks, especially for homogenous team composition. The findings support initiatives for more cross-training and further lab and field experiments.