An automatic email mining approach using semantic non-parametric K-Means++ clustering

Email inboxes are now filled with huge varieties of voluminous messages and thus increasing the problem of email overload which places financial burden on companies and individuals. Email mining provides solution to email overload problem by automatically grouping emails into meaningful and similar groups based on email subjects and contents. Existing email mining systems such as Kernel-Selected clustering and BuzzTrack, do not consider the semantic similarity between email contents, also when large number of email messages are clustered to a single folder they retain the problem of email overload. This thesis proposes a system named AEMS for automatic folder and sub-folder creation, indexing of the created folders with link to each folder and sub-folder, also an Apriori-based folder summarization containing important keywords from the folder. Thesis aims at solving email overload problem through semantic re-structuring of emails. In AEMS model, a novel approach named Semantic Non-parametric K-Means++ clustering is proposed for folder creation, which avoids, (1) random seed selection by selecting the seed according to email weights, and (2) pre-defined number of clusters using the similarity between the email contents. Experiments show the effectiveness and efficiency of the proposed techniques using large volumes of email datasets. Keywords: Email Mining, Email Overload, Email Management, Data Mining, Clustering, Feature Selection, Folder Summarization

Why Forwarded Email Threads are Hard to Read: The Email Format as an Antecedent of Email Overload

Research has shown that excessive email use leads to feelings of being overwhelmed and stressed. Existing coping solutions, which mitigate email overload, address the number of emails and, in consequence, the time spent on emails. These approaches are congruent with existing research on antecedents of email overload. Further coping solutions include addressing email threads. However, we lack a theoretical grounding for perceiving email threads as an antecedent of email overload. I suggest cognitive load theory as a means of investigating the format of forwarded email threads in an experiment. I found support for the effects on reading time and performance in terms of correct answers per second, findings that confirm that forwarded email threads are an antecedent of email overload and that we need a new conceptualization of email overload

Automatic maintenance of category hierarchy

Category hierarchy is an abstraction mechanism for efficiently managing large-scale resources. In an open environment, a category hierarchy will inevitably become inappropriate for managing resources that constantly change with unpredictable pattern. An inappropriate category hierarchy will mislead the management of resources. The increasing dynamicity and scale of online resources increase the requirement of automatically maintaining category hierarchy. Previous studies about category hierarchy mainly focus on either the generation of category hierarchy or the classification of resources under a pre-defined category hierarchy. The automatic maintenance of category hierarchy has been neglected. Making abstraction among categories and measuring the similarity between categories are two basic behaviours to generate a category hierarchy. Humans are good at making abstraction but limited in ability to calculate the similarities between large-scale resources. Computing models are good at calculating the similarities between large-scale resources but limited in ability to make abstraction. To take both advantages of human view and computing ability, this paper proposes a two-phase approach to automatically maintaining category hierarchy within two scales by detecting the internal pattern change of categories. The global phase clusters resources to generate a reference category hierarchy and gets similarity between categories to detect inappropriate categories in the initial category hierarchy. The accuracy of the clustering approaches in generating category hierarchy determines the rationality of the global maintenance. The local phase detects topical changes and then adjusts inappropriate categories with three local operations. The global phase can quickly target inappropriate categories top-down and carry out cross-branch adjustment, which can also accelerate the local-phase adjustments. The local phase detects and adjusts the local-range inappropriate categories that are not adjusted in the global phase. By incorporating the two complementary phase adjustments, the approach can significantly improve the topical cohesion and accuracy of category hierarchy. A new measure is proposed for evaluating category hierarchy considering not only the balance of the hierarchical structure but also the accuracy of classification. Experiments show that the proposed approach is feasible and effective to adjust inappropriate category hierarchy. The proposed approach can be used to maintain the category hierarchy for managing various resources in dynamic application environment. It also provides an approach to specialize the current online category hierarchy to organize resources with more specific categories

Evaluating Two Automatic Methods for Classifying Information Technology Concepts

How are IT concepts related to each other, what is the best way to automatically detect these relationships, and how do such automatic methods compare with traditional methods? We address each of these questions by developing and evaluating two statistical natural language processing methods: co-occurrence and Kullback-Liebler (KL) divergence when used in combination with hierarchical clustering. The results of these automatic methods were then compared to a ground truth classification scheme using statistical methods as well as a survey of IT experts. Co-occurrence outperformed KL divergence according to both the statistical and survey results. Further, co-occurrence had some benefits in comparison to the ground truth, and was preferred by some of the experts included in the survey. The main contribution of this research is the demonstration that automatic methods can be used effectively to classify IT concepts, and that success does not always depend on the complexity of the methods

Navigating the digitalization of individuals as employees, customers, and themselves

Digitalization has long since entered and transformed our professional lives, our interaction with companies, and our private lives. With the progress in digitalization in general and of individuals in particular, both opportunities and challenges arise. Digitalization represents a double-edged sword, with its vast potential on the one end and a number of risks and detrimental effects for individuals, such as technostress, on the other. Individuals need to navigate the opportunities provided by digitalization, as well as its risks, in all areas of their lives. Addressing digitalization in a way that is in the best interest of individuals requires a thorough understanding of developments, challenges, and possible interventions and solutions. Matt et al. (2019) propose a framework for studying the digitalization of individuals, which represents a holistic approach to structure, classify, and position research along different roles of individuals from a comprehensive set of research angles. By applying this framework as a guiding structure, this dissertation aims to advance knowledge for an improved, safer, and more deliberate navigation of digitalization for individuals in their roles as employees, customers, and themselves from the research angles design, behavior, and consequences. While building on and integrating qualitative research methods such as literature analysis and expert interviews, this dissertation mainly relies on the collection of empirical data and their quantitative analysis. This comprises several small- and large-scale surveys and field experiments, as well as analytical methods such as structural equation modeling, regression analysis, and cluster analysis. Chapter 2 of this dissertation discusses the digitalization of individuals in their role as employees. Chapter 2.1 covers workplace design in terms of equipment with digital workplace technologies (DWTs) and the user behavior of employees. It determines which DWTs exist and are used by individual employees in a comprehensive and structured fashion. Contributing to a deeper understanding of workplace digitalization, chapter 2.1 also demonstrates and elaborates how this overview of DWTs represents a basis for individualized digital work design as well as adequate interventions. Chapter 2.2 deals with the consequences of DWT user behavior. It focuses on the relationship between workplace digitalization, the negative consequence technostress, and possible countermeasures termed technostress inhibitors. By enabling a more detailed understanding of the underlying mechanisms as well as evaluating the effects of countermeasures, chapter 2.2 discusses the overall finding that workplace digitalization increases technostress. The dynamics of its different components and technostress inhibitors, however, require individual consideration at a more detailed level, as the interrelationships are not consistently intuitive. In chapter 3, the focus changes to individuals in their role as customers. As a response to increasing data collection by companies as well as increasing data privacy concerns of customers, chapter 3.1 focuses on the identification of a comprehensive list of data privacy measures that address these concerns. Furthermore, it is identified that the implementation of some of these measures would lead to increased customer satisfaction, demonstrating that there is an upside to data privacy for companies and that mutually beneficial outcomes for both involved parties are conceivable. Chapter 3.2 analyzes whether and how digital nudging can be applied to influence customers online shopping behavior towards the selection of more environmentally sustainable products in online supermarkets and how this influence differs with respect to individual customer characteristics. It determines the digital nudging element default rules to be generally effective and simplification to be effective among environmentally conscious customers. On a macro level, the findings contribute to a safer environment in which individuals live their lives, while at the individual level, they foster decision-making quality and health. Chapter 4 highlights the digitalization of individuals themselves. Chapter 4.1 deals with the design of a habit-tracking app that offers users autonomy in their goal-directed behavior. It is found that the provision of autonomy enhances well-being. Its exercise improves performance, which in turn positively affects well-being. Chapter 4.1 thus contributes insights into how digital technologies can foster the flourishing of users. As a summary, this dissertation aims to provide research and practice with contributions to a deeper understanding of how individuals as employees, customers, and themselves can successfully navigate digitalization.Die Digitalisierung und durch sie verursachte Veränderungen haben längst in unserem Berufsleben, unserer Interaktion mit Unternehmen und unserem Privatleben Einzug erhalten. Mit der fortschreitenden Digitalisierung im Allgemeinen und der fortschreitenden Digitalisierung von Individuen im Speziellen ergeben sich sowohl Chancen als auch Herausforderungen. Die Digitalisierung stellt ein zweischneidiges Schwert dar. Den enormen Potenzialen stehen eine Reihe von Risiken und negativen Auswirkungen für Individuen wie z.B. Technostress gegenüber. Individuen müssen sich in allen Lebensbereichen in einem Spannungsfeld der Digitalisierung zurechtfinden, welches am einen Ende vielfältige Chancen für Weiterentwicklung und Selbstverwirklichung bereithält, aber am anderen Ende auch zahlreiche Fallstricke und Risiken birgt. Mit der Digitalisierung auf eine Art und Weise umzugehen, die im besten Interesse von Individuen liegt, erfordert ein gründliches Verständnis der Entwicklungen und Herausforderungen sowie möglicher Interventionen und Lösungen. Matt et al. (2019) schlagen ein Framework für die Untersuchung der Digitalisierung von Individuen vor, das einen ganzheitlichen Ansatz zur Strukturierung, Klassifizierung und Positionierung von Forschung entlang verschiedener Rollen von Individuen und unterschiedlicher Forschungsperspektiven darstellt. Unter Anwendung dieses Frameworks als Leitstruktur zielt diese Dissertation darauf ab, aus den Forschungsperspektiven Design, Verhalten und Konsequenzen Wissen zu schaffen und zu erweitern, wie Individuen in ihren Rollen als Arbeitnehmer:innen, Kund:innen und im privaten Kontext die Digitalisierung besser, sicherer und bewusster meistern können. Aufbauend auf und unter Einbeziehung von qualitativen Forschungsmethoden wie Literaturanalyse und Experteninterviews stützt sich diese Dissertation vor allem auf die Erhebung empirischer Daten und deren quantitative Auswertung. Dies umfasst mehrere kleiner und größer angelegte Umfragen und Feldexperimente sowie analytische Methoden wie Strukturgleichungsmodelle, Regressions- und Clusteranalysen. Kapitel 2 der Dissertation befasst sich mit der Digitalisierung von Individuen in ihrer Rolle als Arbeitnehmer:innen. Kapitel 2.1 beschäftigt sich mit der Gestaltung von Arbeitsplätzen hinsichtlich der Ausstattung mit digitalen Technologien und des Verhaltens von Arbeitnehmer:innen bei deren Nutzung. Zum anderen arbeitet Kapitel 2.1 heraus, inwiefern dieser Überblick der digitalen Technologien eine Grundlage für die individualisierte Gestaltung digitaler Arbeit sowie für adäquate Interventionen darstellt. Kapitel 2.2 beschäftigt sich mit den Konsequenzen des Nutzungsverhaltens dieser digitalen Technologien. Im Mittelpunkt steht dabei der Zusammenhang zwischen der Digitalisierung von Arbeitsplätzen, der negativen Konsequenz Technostress und möglichen Gegenmaßnahmen, den sogenannten Technostress-Inhibitoren. Kapitel 2.2 ermöglicht ein detaillierteres Verständnis der zugrunde liegenden Mechanismen und bewertet die Wirksamkeit von Gegenmaßnahmen. In Kapitel 3 liegt der Fokus auf Individuen in ihrer Rolle als Kund:innen. Als Reaktion auf zunehmende Datenerfassung seitens Unternehmen und wachsende Datenschutzbedenken seitens Kund:innen konzentriert sich Kapitel 3.1 auf die Identifizierung einer umfassenden Liste von Datenschutzmaßnahmen, die diese Bedenken adressieren. Darüber hinaus wird festgestellt, dass die Umsetzung einiger dieser Maßnahmen zu einer höheren Kundenzufriedenheit führen würde. In Kapitel 3.2 wird analysiert, ob und wie digitales Nudging eingesetzt werden kann, um das Online-Einkaufsverhalten von Kund:innen in Richtung der Auswahl umweltfreundlicherer nachhaltiger Produkte in Online-Supermärkten zu beeinflussen und wie sich dieser Einfluss in Bezug auf einzelne Kundenmerkmale unterscheidet. Kapitel 4 beleuchtet die Digitalisierung von Individuen im privaten Kontext. Kapitel 4.1 befasst sich mit der Entwicklung einer App zum Festhalten und zur Verfolgung von Gewohnheiten, die ihren Nutzer:innen Autonomie in Bezug auf ihr zielgerichtetes Verhalten bietet. Es wird festgestellt, dass die Bereitstellung von Autonomie das Wohlbefinden der Nutzer:innen steigert. Die Ausübung von Autonomie verbessert die Leistung bei der Zielerreichung. Zusammenfassend stellt diese Dissertation für Forschung und Praxis Beiträge bereit, die zu einem tieferen Verständnis eines erfolgreichen Umgangs von Individuen als Arbeitnehmer:innen, Kund:innen und Individuen im privaten Kontext mit der Digitalisierung führen sollen

A New Email Retrieval Ranking Approach

Email Retrieval task has recently taken much attention to help the user retrieve the email(s) related to the submitted query. Up to our knowledge, existing email retrieval ranking approaches sort the retrieved emails based on some heuristic rules, which are either search clues or some predefined user criteria rooted in email fields. Unfortunately, the user usually does not know the effective rule that acquires best ranking related to his query. This paper presents a new email retrieval ranking approach to tackle this problem. It ranks the retrieved emails based on a scoring function that depends on crucial email fields, namely subject, content, and sender. The paper also proposes an architecture to allow every user in a network/group of users to be able, if permissible, to know the most important network senders who are interested in his submitted query words. The experimental evaluation on Enron corpus prove that our approach outperforms known email retrieval ranking approachesComment: 20 page

Sustainable interaction with digital technologies : fostering pro-environmental behavior and maintaining mental health

One of the most essential challenges of the twenty-first century is to realize sustainability in everyday behavior. Daily, partly unconscious decisions influence environmental sustainability. Such everyday choices are increasingly shifted toward digital environments, as digital technologies are ubiquitous in a wide variety of everyday contexts. This yields the great potential to positively influence the users behavior toward more environmental sustainability when interacting with digital technologies, for example, through the use of digital nudging. But besides these benefits, research indicates that interacting with digital technologies can lead to a specific form of stress, also known as technostress, that can cause adverse health outcomes. Individuals increasingly suffer from or are at risk of mental health issues like depression or burnout. This demonstrates that it is essential to ensure a sustainable interaction with digital technologies that is both environmentally friendly and healthy, especially for the mind. Addressing individuals interaction with digital technologies requires a broad understanding from all perspectives. The Human-Computer-Interaction (HCI) framework represents a guiding structure for studying the interaction of humans with digital technologies. Along with the guiding structure of the HCI framework, the seven research articles included in this dissertation aim to contribute to sustainable interaction with digital technologies. The focus is on two outcomes resulting from the interaction: First, fostering pro-environmental behavior and, second, maintaining mental health. After an introductory first chapter, Chapter 2 focuses on the outcome of fostering pro-environmental behavior when interacting with digital technologies using digital nudging. Chapter 2.1 contributes to a deeper understanding of the effectiveness of DNEs in different behavioral contexts (HCI perspective context) that influence the individuals pro-environmental behavior (e.g., e-commerce shopping behavior). Chapters 2.2 and 2.3 zoom in on two of the behavioral contexts described in Chapter 2.1 to investigate and test the design and effectiveness of specific DNEs in an e-commerce shop and a smart home app (HCI perspective technology) through online experiments. While prior research concentrated on the effectiveness of different feedback nudge features (FNFs) (e.g., different update frequencies), Chapter 2.4 investigates the influence of 25 identified FNFs on user satisfaction in a smart home app through a card sorting approach followed by an online survey based on the Kano model (HCI perspective human). Chapter 3 puts focuses on the outcome of maintaining mental health when interacting with digital technologies, thus avoiding technostress. Chapter 3.1 concentrates on the role of the organization in preventing technostress among their employees (HCI perspective context). It introduces and characterizes 24 primary and secondary technostress prevention measures and determines the relevance of primary prevention measures in reducing different sources of technostress (technostress creators). Out of the 24 technostress prevention measures, two specific measures (adopt a stress-sensitive digital workplace design and use gamification) are addressed in Chapters 3.2 and 3.3. Through a large-scale online survey, Chapter 3.2 derives an understanding of the characteristic profiles of technologies used at the digital workplace, their interplay, and how they influence technostress (HCI perspective technology). Chapter 3.3 focuses on the individuals appraisal (HCI perspective human) of a demanding situation when interacting with digital technologies. After conducting an online experiment, Chapter 3.3 finds that the integration of gamification elements (e.g., points or levels) in digital technologies can reduce the individuals threat appraisal. Lastly, Chapter 4 discusses the results of the seven included research articles and provides an outlook for future research. In summary, this dissertation aims to provide research and practice with new insights into creating a sustainable interaction with digital technologies to foster pro-environmental behavior and maintain mental health.Die nachhaltige Gestaltung des Lebens eine der zentralen Herausforderung des einundzwanzigsten Jahrhunderts. Alltägliche, teils unterbewusste Entscheidungen haben Einfluss auf die ökologische Nachhaltigkeit. Diese Entscheidungen werden durch die Allgegenwärtigkeit digitaler Technologien zunehmend in digitalen Umgebungen getroffen. Dies birgt das Potenzial, die Entscheidungen und somit das Verhalten der Nutzer:innen bei der Interaktion mit digitalen Technologien, beispielsweise durch Digital Nudging, positiv in Richtung ökologischer Nachhaltigkeit zu beeinflussen. Doch neben diesen Vorteilen zeigt die Forschung, dass die Interaktion mit digitalen Technologien eine spezifische Form von Stress, bekannt unter dem Begriff Technostress, auslösen kann, die zu negativen gesundheitlichen Folgen führen kann. Immer mehr Menschen leiden unter psychischen Krankheiten wie Depressionen oder Burnout oder sind akut gefährdet, diese zu entwickeln. Das zeigt, dass eine nachhaltige Interaktion mit digitalen Technologien sowohl umweltfreundlich als auch gesund, insbesondere für die Psyche, sein sollte. Das erfordert zunächst ein umfassendes Verständnis für die Problematik und muss deshalb aus allen relevanten Perspektiven betrachtet werden. Das Human-Computer-Interaction (HCI) Framework stellt eine Struktur für die Untersuchung der Interaktion von Menschen mit digitalen Technologien bereit. Das Framework stellt einen ganzheitlichen Ansatz zur Strukturierung und Klassifizierung der Forschung entlang der drei verschiedenen Perspektiven dar. Orientiert an dieser Struktur zielen die sieben Forschungsartikel dieser Dissertation darauf ab, einen Beitrag zur nachhaltigen Interaktion mit digitalen Technologien zu leisten. Dabei liegt der Fokus auf den beiden Ergebnissen der Förderung des umweltfreundlichen Verhaltens und der Aufrechterhaltung der psychischen Gesundheit. Nach dem einleitenden ersten Kapitel fokussiert Kapitel 2 die Förderung eines umweltfreundlichen Verhaltens bei der Interaktion mit digitalen Technologien durch die Verwendung von Digital Nudging. Durch eine strukturierte Literaturanalyse und der anschließenden Entwicklung eines Frameworks trägt Kapitel 2.1 zu einem tieferen Verständnis und einem Überblick der Effektivität von DNEs in verschiedenen Verhaltenskontexten (HCI Perspektive Kontext), die umweltfreundliches Verhalten bestimmen (z.B. Einkaufsverhalten), bei. In den Kapiteln 2.2 und 2.3 werden zwei der in Kapitel 2.1 betrachteten Kontexte vertieft und sowohl das Design als auch die Effektivität spezifischer DNEs in einem E-Commerce-Shop (Kapitel 2.2) und einer Smart Home App (Kapitel 2.3) in Online-Experimenten untersucht (HCI Perspektive Technologie). Kapitel 2.4 konzentriert sich das gut erforschte und wirksame DNE Feedback zur Förderung von energiesparendem Verhalten. Während sich bisherige Forschung auf die Effektivität verschiedener Feedback Nudge Features (FNFs) konzentriert (z.B. unterschiedliche Aktualisierungsfrequenzen), wird in Kapitel 2.4 der Einfluss von 25 identifizierten FNFs auf die Nutzerzufriedenheit mit Hilfe eines Card Sortings und einer Online-Befragung basierend auf dem Kano Modell untersucht (HCI Perspektive Mensch). In Kapitel 3 liegt der Schwerpunkt auf dem Ziel der Aufrechterhaltung der psychischen Gesundheit und somit der Vermeidung von Technostress. Kapitel 3.1 konzentriert sich auf die Rolle der Organisation bei der Prävention von Technostress bei Mitarbeiter:innen (HCI Perspektive Kontext). Basierend auf einer Delphi-Studie werden 24 primäre und sekundäre Technostress-Präventionsmaßnahmen vorgestellt und charakterisiert, sowie deren Relevanz zur Vermeidung von Technostress eingeschätzt. Von den 24 Maßnahmen werden zwei spezifische Maßnahmen (Gestaltung eines stresssensiblen digitalen Arbeitsplatzes" und Einsatz von Gamification) in Kapitel 3.2 und 3.3 behandelt. Kapitel 3.2 trägt durch eine groß angelegte Umfrage zu einem Verständnis für die Charakteristika der am digitalen Arbeitsplatz eingesetzten Technologien und deren Einfluss auf Technostress bei (HCI Perspektive Technologie). Kapitel 3.3 konzentriert sich auf das Individuum und dessen Wahrnehmung einer potenziellen Technostress-Situation bei der Interaktion mit digitalen Technologien (HCI Perspektive Mensch). Durch ein Online-Experiment zeigt sich, dass die Integration von Gamification-Elementen in digitalen Technologien die bedrohende Wahrnehmung der gegebenen Situation des Einzelnen reduzieren kann. Zusammenfassend zielt diese Dissertation darauf ab, Forschung und Praxis mit neuen Erkenntnissen zu einer nachhaltigen Interaktion von Menschen mit digitalen Technologien zu bereichern, die sowohl umweltfreundliches Verhalten fördert als auch die psychische Gesundheit aufrechterhält und somit zu den aktuellen Nachhaltigkeitsbemühungen beiträgt

Cognitive Decay And Memory Recall During Long Duration Spaceflight

This dissertation aims to advance the efficacy of Long-Duration Space Flight (LDSF) pre-flight and in-flight training programs, acknowledging existing knowledge gaps in NASA\u27s methodologies. The research\u27s objective is to optimize the cognitive workload of LDSF crew members, enhance their neurocognitive functionality, and provide more meaningful work experiences, particularly for Mars missions.The study addresses identified shortcomings in current training and learning strategies and simulation-based training systems, focusing on areas requiring quantitative measures for astronaut proficiency and training effectiveness assessment. The project centers on understanding cognitive decay and memory loss under LDSF-related stressors, seeking to establish when such cognitive decline exceeds acceptable performance levels throughout mission phases. The research acknowledges the limitations of creating a near-orbit environment due to resource constraints and the need to develop engaging tasks for test subjects. Nevertheless, it underscores the potential impact on future space mission training and other high-risk professions. The study further explores astronaut training complexities, the challenges encountered in LDSF missions, and the cognitive processes involved in such demanding environments. The research employs various cognitive and memory testing events, integrating neuroimaging techniques to understand cognition\u27s neural mechanisms and memory. It also explores Rasmussen\u27s S-R-K behaviors and Brain Network Theory’s (BNT) potential for measuring forgetting, cognition, and predicting training needs. The multidisciplinary approach of the study reinforces the importance of integrating insights from cognitive psychology, behavior analysis, and brain connectivity research. Research experiments were conducted at the University of North Dakota\u27s Integrated Lunar Mars Analog Habitat (ILMAH), gathering data from selected subjects via cognitive neuroscience tools and Electroencephalography (EEG) recordings to evaluate neurocognitive performance. The data analysis aimed to assess brain network activations during mentally demanding activities and compare EEG power spectra across various frequencies, latencies, and scalp locations. Despite facing certain challenges, including inadequacies of the current adapter boards leading to analysis failure, the study provides crucial lessons for future research endeavors. It highlights the need for swift adaptation, continual process refinement, and innovative solutions, like the redesign of adapter boards for high radio frequency noise environments, for the collection of high-quality EEG data. In conclusion, while the research did not reveal statistically significant differences between the experimental and control groups, it furnished valuable insights and underscored the need to optimize astronaut performance, well-being, and mission success. The study contributes to the ongoing evolution of training methodologies, with implications for future space exploration endeavors