THE DEVELOPMENT OF A COUPLE OBSERVATIONAL CODING SYSTEM FOR COMPUTER-MEDIATED COMMUNICATION

Many romantic couples integrate text and computer-mediated communication (CMC) into their relationship dynamics, both for general relationship maintenance and for complex dynamics such as problem solving and conflict. Romantic couple dynamics are interactional, dynamic, and sequenced in nature, and a common method for studying interactions of this nature is observational analyses. However, no behavioral or observational coding systems exist that are able to capture text-based transactional couple communication. The main purpose of this dissertation was to develop an observational coding system that can be used to assess sequenced computer- mediated, text-based communication that takes place between romantic partners. This process included assessing couples’ text communication to determine how verbal and non-verbal communication behaviors are enacted in CMC, modifying an observational coding system, and establishing reliability and validity of the revised coding system. Secondary data was utilized, including 48 logs of romantic couples engaging in problem-solving discussions using online chatting for 15 minutes, where a log of the conversation was saved for future research purposes. For this dissertation, the researcher evaluated the dynamics in these logs to determine if behaviors and sequences were similar to basic romantic relationship dynamics that are present in face-to-face (FtF) couples’ dynamics. The researcher determined that the dynamics between CMC and FtF were similar, and that modifying a couple observational coding system would be appropriate. The Interaction Dimensions Coding System was selected for use and modification for this study, and the training manual and codebook were updated to integrate CMC examples. Multiple avenues of assessing face validity were also pursued and feedback from the coding team and original authors of a couple coding system were integrated into the modified coding system. The modified coding system, IDCS-CMC, was used to code 43 text-based chat logs. A team of 4 coders was trained on the coding system, where they provided ratings from 1 to 9 on each partner for different dimensions of communication behaviors that were observed and they also rated each couple on 5 dyadic categories of relationship functioning. Interrater reliability was assessed throughout the training and independent coding process using the intraclass correlation coefficient. Results indicate that good or excellent interrater reliability was established for the individual dimensions of Positive Affect, Negative Affect, Problem Solving, Support/Validation, Denial, Conflict, and Communication Skills and for the dyadic codes of Positive Escalation, Negative Escalation, Commitment, Satisfaction, and Stability. There were only two dimensions that resulted in fair or poor interrater reliability, which were Dominance and Withdrawal, both of which warrant additional study in how these dynamics are enacted in and coded in CMC. Overall, the IDCS-CMC demonstrated good interrater reliability, and construct validity was established for the coding system in a variety of ways. Construct validity was established by assessing face, content, and convergent validity. Face validity was established by eliciting feedback on the IDCS-CMC from the coding team as well as one of the authors of the system used to inform the development of the IDCS-CMC. Content validity was established by assessing the degree to which the couples in the chat logs engaged in conversations of a similar nature in their real lives, and also by determining the degree to which the couple participants followed instructions to focus on a problem-solving topic during the chats. Convergent validity was assessed by comparing the IDCS-CMC dimensions and positive and negative communication composite scores to a measure of relationship satisfaction. Overall, this dissertation details the process by which a couple observational coding system was developed and tested, and puts forth a methodological tool that can be used to better assess transactional use of CMC by romantic couples by researchers as well as practitioners and therapists

Quantitative imaging in radiation oncology

Artificially intelligent eyes, built on machine and deep learning technologies, can empower our capability of analysing patients’ images. By revealing information invisible at our eyes, we can build decision aids that help our clinicians to provide more effective treatment, while reducing side effects. The power of these decision aids is to be based on patient tumour biologically unique properties, referred to as biomarkers. To fully translate this technology into the clinic we need to overcome barriers related to the reliability of image-derived biomarkers, trustiness in AI algorithms and privacy-related issues that hamper the validation of the biomarkers. This thesis developed methodologies to solve the presented issues, defining a road map for the responsible usage of quantitative imaging into the clinic as decision support system for better patient care

The development and evaluation of a novel online tool for assessing dietary intake and physical activity levels for use in adult populations

The Synchronised Nutrition and Activity Program for Adults (SNAPA™) was developed to address the need for accurate, reliable, feasible, inexpensive and low burden methods for measuring diet and physical activity behaviours in free-living adult populations. Usability testing (n=5) identified a number of usability issues and the program was revised accordingly. Test-retest reliability (n=44) revealed no substantial systematic shifts in mean values. Outcome variables were percentage food energy from fat (%fat), number of fruit and vegetable portions (FV), and minutes of moderate to vigorous activity (MVPA). Single measure intra-class correlations (ICC) ranged from 0.62 to 0.72 and average measure ICC range from 0.76 to 0.84. The preliminary method comparison study (n=71) revealed correlations between SNAPA™ and multiple pass recall dietary interview-derived %fat and FV portions of 0.48 (bootstrapped 90% CI 0.31, 0.64) and 0.42 (bootstrapped 90% CI 0.22, 0.60) respectively. The correlation between SNAPA™ and accelerometry-derived MVPA was 0.39 (bootstrapped 90% CI 0.08, 0.64). The in-depth primary method comparison study (n=77) investigated the agreement between SNAPA™ and dietary observation and combined heart rate and accelerometry. The mean match and phantom rates between SNAPA™ and lunchtime dietary observation was 81.7% and 5.6%, respectively. Correlations between SNAPA™ and the reference method outcomes ranged between 0.39 and 0.56. Passing-Bablok (type II) regression analysis revealed both fixed and proportional bias for the estimation of energy intake; proportional bias for fat intake (g); a fixed bias for MVPA, and no substantial biases for %fat or FV portions. SNAPA™ was used to collect diet and physical activity data in a health promotion campaign, ‘Get a Better Life’ (n=1201), providing useful information on the feasibility of using the program in a real-world initiative. SNAPA™ is a promising tool for the surveillance of diet and physical behaviours at a group level in adult populations

The effect of Web interface features on consumer online shopping intentions

Amid the storm of hype over Internet adoption, it is observed that during the past years, organizations have taken considerable interest in eagerly acquiring computer hardware and software to implement electronic commerce (e-commerce) applications mostly to the detriment of human aspects of the information technology (IT) solutions (Freemantle, 2002; Lockwood & Lamp, 2000). Various Internet technologies, mostly the Web, have been implemented to offer online goods and services. Many credible estimates suggest that Internet buying and selling will account for close to $2 trillion of annual economic activity by 2004 (Citrin et al., 2003; Fry, 2000). While the promise of the Internet has become a reality many businesses cannot afford to ignore, use of this medium for communication and information has not been matched by its equivalent use for shopping (Citrin et al., 2003). Most notable are Web design problems that frustrate consumers\u27 online exchange activities (A. T. Kearney, 2000). This study proposes that features incorporated in the design of Web site interfaces can affect consumer online behavioral intentions to purchase and revisit. The study draws upon theories and prior studies in the fields of management, consumer behavior, management information systems, and related disciplines to address the research question of whether and how Web site interface design features determine online consumers\u27 perceptions, attitudes, flow experienced, and their online purchase and revisit intentions. Using data from a sample of 266 online consumers, the “best fit” structural model was selected among three a priori structural models. Results of the study confirmed most of the relationships hypothesized in the research model. It was found that, indeed, different categories of interface features have different influence levels on consumers\u27 perceptions. Whereas motivator factor was significantly related to the perceived informativeness, entertainment, and irritation; hygiene factor indicated significant relationships with only irritation. The study also found statistically significant support for the relationships between most of the perceptual variables and perceived usefulness of the site as well attitude toward the site. The role of flow experienced in determining purchase and revisit intentions received statistically significant support. Overall, the results of this study provide important insights into the online consumer experience, with implications for academic research and e-commerce systems design

Front-Line Physicians' Satisfaction with Information Systems in Hospitals

Day-to-day operations management in hospital units is difficult due to continuously varying situations, several actors involved and a vast number of information systems in use. The aim of this study was to describe front-line physicians' satisfaction with existing information systems needed to support the day-to-day operations management in hospitals. A cross-sectional survey was used and data chosen with stratified random sampling were collected in nine hospitals. Data were analyzed with descriptive and inferential statistical methods. The response rate was 65 % (n = 111). The physicians reported that information systems support their decision making to some extent, but they do not improve access to information nor are they tailored for physicians. The respondents also reported that they need to use several information systems to support decision making and that they would prefer one information system to access important information. Improved information access would better support physicians' decision making and has the potential to improve the quality of decisions and speed up the decision making process.Peer reviewe

Effects of Task Clarification and an Adaptive Computer Software on Implementation of Mand Training using an iPad® as a Speech Generated Device

Mand training is an evidence-based instructional method and a primary focus in behavioral language training for children with autism. A rapidly growing research base supports manding training using hand-held computing technologies (e.g., iPad®, iPod®) as speech generating devices (SGD) for establishing a manding repertoire in children with autism. To ensure optimal learning efficacy and efficiency, procedures must be implemented with high levels of accuracy, which requires that staff be well-trained. However, research evaluating methods for training staff to implement mand training procedures with the iPad® and application Proloquo2Go™ as an SGD has not yet been conducted. Therefore, this study examined the effectiveness of job aids followed by Train to Code, an interactive observation and behavioral coding software system to teach preschool teachers to implement mand training using the iPad® as an SGD with the application Proloquo2Go™. The TTC training programs used errorless training procedures with performance-based feedback to train expert observation and coding of behavioral events (i.e. mand training sequential components) via video files. As demonstrated in a multi-component within a multiple probe design across participants, all participants’ teaching accuracy increased following the initiation of the job aid condition; however, TTC was required to establish high levels of accuracy of mand training procedures during role-play sessions with a confederate. In addition, results indicated improved performance relative to baseline during instructional sessions with a child with autism or a developmental delay, and performance accuracy maintained at one-month follow-up. These results suggest that job aids followed by TTC may be an effective and feasible method for training individuals to implement mand training using an iPad® and the application Proloquo2Go™

Privacy-Friendly Photo Sharing and Relevant Applications Beyond

Popularization of online photo sharing brings people great convenience, but has also raised concerns for privacy. Researchers proposed various approaches to enable image privacy, most of which focus on encrypting or distorting image visual content. In this thesis, we investigate novel solutions to protect image privacy with a particular emphasis on online photo sharing. To this end, we propose not only algorithms to protect visual privacy in image content but also design of architectures for privacy-preserving photo sharing. Beyond privacy, we also explore additional impacts and potentials of employing daily images in other three relevant applications. First, we propose and study two image encoding algorithms to protect visual content in image, within a Secure JPEG framework. The first method scrambles a JPEG image by randomly changing the signs of its DCT coefficients based on a secret key. The second method, named JPEG Transmorphing, allows one to protect arbitrary image regions with any obfuscation, while secretly preserving the original image regions in application segments of the obfuscated JPEG image. Performance evaluations reveal a good degree of storage overhead and privacy protection capability for both methods, and particularly a good level of pleasantness for JPEG Transmorphing, if proper manipulations are applied. Second, we investigate the design of two architectures for privacy-preserving photo sharing. The first architecture, named ProShare, is built on a public key infrastructure (PKI) integrated with a ciphertext-policy attribute-based encryption (CP-ABE), to enable the secure and efficient access to user-posted photos protected by Secure JPEG. The second architecture is named ProShare S, in which a photo sharing service provider helps users make photo sharing decisions automatically based on their past decisions using machine learning. The photo sharing service analyzes not only the content of a user's photo, but also context information about the image capture and a prospective requester, and finally makes decision whether or not to share a particular photo to the requester, and if yes, at which granularity. A user study along with extensive evaluations were performed to validate the proposed architecture. In the end, we research into three relevant topics in regard to daily photos captured or shared by people, but beyond their privacy implications. In the first study, inspired by JPEG Transmorphing, we propose an animated JPEG file format, named aJPEG. aJPEG preserves its animation frames as application markers in a JPEG image and provides smaller file size and better image quality than conventional GIF. In the second study, we attempt to understand the impact of popular image manipulations applied in online photo sharing on evoked emotions of observers. The study reveals that image manipulations indeed influence people's emotion, but such impact also depends on the image content. In the last study, we employ a deep convolutional neural network (CNN), the GoogLeNet model, to perform automatic food image detection and categorization. The promising results obtained provide meaningful insights in design of automatic dietary assessment system based on multimedia techniques, e.g. image analysis