Representation Effects and Loss Aversion in Analytical Behaviour: An Experimental Study into Decision Making Facilitated by Visual Analytics

This paper presents the results of an experiment into the relationship between the representation of data and decision-making. Three hundred participants online, were asked to choose between a series of financial investment opportunities using data presented in line charts. A single dependent variable of investment choice was examined over four levels of varying display conditions and randomised data. Three variations to line chart visualisations provided a controlled factor between subjects divided into three groups; -˜standard’ line charts, -˜tall’ line charts, and one dual-series line chart. The final results revealed a consistent main effect and two other interactions between certain display conditions and decision-making. The findings of this paper are significant to the study visualisation and to the field of visual analytics. This experiment was devised as part of a study into Analytical Behaviour, defined as decision-making facilitated by visual analytics - a new topic that encompasses existing research and real-world applications

Intelligence analysis support guide: development and validation

Research shows that intelligence analysts do not routinely follow a logical workflow, do not always use critical thinking, and that analysts’ training and experience are unrelated to analysts’ performance. The Analysis Support Guide (ASG) aims to capture, communicate, and encourage good analytic practice. The ASG is informed by organizational intelligence doctrine and past research on intelligence analysis. The ASG includes the generic analytic workflow, prompts for good practice at each stage of the workflow, indicators of good and poor analytic practice, and an analytic investigation questionnaire. The findings of a small-scale content validation study of the ASG are reported here. Fourteen analysts provided detailed feedback on its content. The results informed a revision of the ASG that is currently used to train new and experienced analysts. The ASG can also inform the development of analytic technologies and future research on the psychology of intelligence analysi

Persuasive Communication Systems: a machine learning approach to predict the effect of linguistic styles and persuasion techniques

Prediction is a critical task in targeted online advertising, where predictions better than random guessing can translate to real economic return. This study aims to use machine learning (ML) methods to identify individuals who respond well to certain linguistic styles/persuasion techniques based on Aristotle’s means of persuasion, rhetorical devices, cognitive theories and Cialdini’s principles, given their psychometric profile

Exploratory information searching in the enterprise: a study of user satisfaction and task performance.

No prior research has been identified that investigates the causal factors for workplace exploratory search task performance. The impact of user, task, and environmental factors on user satisfaction and task performance was investigated through a mixed methods study with 26 experienced information professionals using enterprise search in an oil and gas enterprise. Some participants found 75% of high-value items, others found none, with an average of 27%. No association was found between self-reported search expertise and task performance, with a tendency for many participants to overestimate their search expertise. Successful searchers may have more accurate mental models of both search systems and the information space. Organizations may not have effective exploratory search task performance feedback loops, a lack of learning. This may be caused by management bias towards technology, not capability, a lack of systems thinking. Furthermore, organizations may not “know” they “don't know” their true level of search expertise, a lack of knowing. A metamodel is presented identifying the causal factors for workplace exploratory search task performance. Semistructured qualitative interviews with search staff from the defense, pharmaceutical, and aerospace sectors indicates the potential transferability of the finding that organizations may not know their search expertise levels

Perceived Risk Triggers the Effects of Trace-Back Information on Consumer Trust

Understanding how trace-back information quality with the support of traceability systems contributes to consumer trust has been of interest to academics and practitioners. Drawing upon Commitment-Trust Theory, this research examines the role of trace-back information on consumer trust in the context of food safety. A consumer-based questionnaire survey was conducted following a structural model that was tested by using structural equation modelling techniques. The findings indicate that perceived risk increases perceived informativeness of traceability systems. More particularly, providing consumers with high quality trace-back information about the sources of ingredients, the production process, storage, and the supply chain is considered as the informativeness of traceability systems. Importantly, trace-back information about a product has a positive influence on consumer trust. Once consumers have increased trust in a product, they would buy a product about which they were concerned

A survey of intelligence analysts’ strategies for solving analytic tasks

Analytic performance may be assessed by the nature of the process applied to intelligence tasks and analysts are expected to use a 'critical' or deliberative mindset. However, there is little research on how analysts do their work. We report the findings of a quantitative survey of 113 intelligence analysts who were asked to report how often they would apply strategies involving more or less critical thinking when performing representative tasks along the analytic workflow. Analysts reported using ‘deliberative’ strategies significantly more often than ‘intuitive’ ones when capturing customer requirements, processing data, and communicating conclusions. Years of experience working in the intelligence community, skill level, analytic thinking training, and time spent working collaboratively (opposed to individually) were largely unrelated to reported strategy use. We discuss the implications of these findings for both improving intelligence analysis and developing an evidence-based approach to policy and practice in this domain

A survey of intelligence analysts’ strategies for solving analytic tasks

Analytic performance may be assessed by the nature of the process applied to intelligence tasks and analysts are expected to use a 'critical' or deliberative mindset. However, there is little research on how analysts do their work. We report the findings of a quantitative survey of 113 intelligence analysts who were asked to report how often they would apply strategies involving more or less critical thinking when performing representative tasks along the analytic workflow. Analysts reported using ‘deliberative’ strategies significantly more often than ‘intuitive’ ones when capturing customer requirements, processing data, and communicating conclusions. Years of experience working in the intelligence community, skill level, analytic thinking training, and time spent working collaboratively (opposed to individually) were largely unrelated to reported strategy use. We discuss the implications of these findings for both improving intelligence analysis and developing an evidence-based approach to policy and practice in this domain

Profiling exploratory browsing behaviour with a semantic data browser.

Semantic Web technologies are increasingly being adopted for aggregating Web data. Tools such as Semantic Data Browsers have been proposed to assist users to access and make sense of the vast semantic space. However, further investigations are needed to understand how users make use of the additional semantic features provided by these new breed of browsers and their effectiveness in supporting exploration of a domain. Measurements of browsing behaviour in a semantic space are also needed. Using the log data from a semantic browser (MusicPinta) for the music domain, this paper takes the first step in profiling browsing behaviour of users in a semantic space and compares the outcome against their task performance. Two exploratory search tasks were designed for the experiment. Movements in terms of users traversing the provided semantic links in the browser were captured and the patterns of clicks between abstract and concrete concepts were analysed

Supporting and Securing Personal Mobile Devices Within an Existing Information Technology Environment

Personal mobile devices are becoming integrated into the daily operations of business. Managers are realizing that employees who are allowed to use personal mobile devices to access corporate information systems may reduce costs as users buy their own devices. The problem was that managers have a limited understanding of the need to secure or support personal mobile devices. The purpose of this survey study was to examine the relationship between employees\u27 desire to use personal mobile devices and corporation needs for security and support. Hypotheses were tested by examining the relationships between the requirement to support and secure personal mobile devices as the independent variables and the desire to use personal mobile devices as the dependent variable. The theoretical framework for the study included the IT product life-cycle management theory, IT security-management theory, and IT strategic-management theory. Survey data were collected from a convenience sample of 108 employees at the study-site organization from an estimated population of 170. Basic linear regression analyses performed found a correlation coefficient of 0.905 indicating the variables are highly correlated. This finding indicates that if personal mobile devices are given access to corporate information systems, then support and security will be necessary for successful operations. If the relationship between internal factors and operational success is clearly documented, organizations may be able to use the data to justify incorporating personal mobile devices within their own corporate information system to reduce costs, improve productivity, and increase employee satisfaction, thereby making a positive contribution to society

The relationship between personality traits, coping resources, and burnout in North Louisiana secondary school teachers

The purpose of this study was to investigate sources of resistance to burnout in secondary teachers. For the purpose of this study secondary teachers were defined as teachers employed in grades 9-12 with 0-5 years of teaching experience employed in north Louisiana schools. Sources of resistance to burnout was researched in three investigative steps: (a) the relationship between levels of burnout and personality traits, (b) the relationship between levels of burnout and coping resources, and (c) the relationship between burnout and aspects of the job. The study sample consisted of 139 participants from nine identified north Louisiana parishes. When testing the three hypotheses for this study, the researcher found that there were significant relationships between the predictor variables: (a) perceived workload, (b) extroversion/introversion, (c) emotion, and (d) physical well-being, on the criterion variable of burnout. Extroversion/introversion was found to be a robust predictor of burnout. Teachers with lower levels of extroversion/introversion were found to demonstrate higher levels of burnout. Personal disposition awareness among teachers and school administrators may help to identify potential stressors that could lead to burnout. The strongest predictor of burnout was perceived workload. The findings suggested secondary school administrators should consider teacher burnout as an important contextual variable when allocating workload. Teacher performance may be affected by perceived inequity in workload assignment. The coping resource emotion was found to be a significant predictor of burnout. The Emotion scale measures the degree to which teachers can accept and express range of affect. Orientation to emotion is not an effective coping resource. The coping resource of physical well-being measures the degree to which teachers enact healthy behaviors. Physical well-being was a significant predictor of burnout. Individuals who engage in healthy lifestyle practices tended to be more resistant to burnout. It is recommended that future research focus on environmental factors related to burnout interactions due to personality traits and specific environmental characteristics (i.e., burnout of an extroverted teacher in a high-risk school)