Historical Development of Research Methods in the Information Systems Discipline

In this article, we report on an investigation that integrated the results from twenty meta-studies on research methods asidentified by a thorough literature review. By conducting this investigation, we seek to reconstruct the historical developmentof research methods in the Information Systems (IS) discipline. Major results of the investigation are: Only the classicalempirical methods (survey, case study, laboratory experiment, and field experiment) have been the subject of intensivediscussion. Survey, case study, and laboratory experiment demonstrate an upward tendency in their historical developmentduring the past forty years (1968-2006), whereas the field experiment does not. The investigation reveals an average adoptionrate of 24 percent for the survey, 13 percent for the case study, 10 percent for the laboratory experiment, and 3 percent for thefield experiment. Finally, we have not observed radical methodological changes in the IS discipline. Key findings and theirimplications for the future development of the IS discipline are discussed

A Lightweight Intelligent Virtual Cinematography System for Machinima Production

Machinima is a low-cost alternative to full production filmmaking. However, creating quality cinematic visualizations with existing machinima techniques still requires a high degree of talent and effort. We introduce a lightweight artificial intelligence system, Cambot, that can be used to assist in machinima production. Cambot takes a script as input and produces a cinematic visualization. Unlike other virtual cinematography systems, Cambot favors an offline algorithm coupled with an extensible library of specific modular and reusable facets of cinematic knowledge. One of the advantages of this approach to virtual cinematography is a tight coordination between the positions and movements of the camera and the actors

Toward Intelligent Support of Authoring Machinima Media Content: Story and Visualization

The Internet and the availability of authoring tools have enabled a greater community of media content creators, including nonexperts. However, while media authoring tools often make it technically feasible to generate, edit and share digital media artifacts, they do not guarantee that the works will be valuable or meaningful to the community at large. Therefore intelligent tools that support the authoring and creative processes are especially valuable. In this paper, we describe two intelligent support tools for the authoring and production of machinima. Machinima is a technique for producing computer-animated movies through the manipulation of computer game technologies. The first system we describe, ReQUEST, is an intelligent support tool for the authoring of plots. The second system, Cambot, produces machinima from a pre-authored script by manipulating virtual avatars and a virtual camera in a 3D graphical environment

Gr\"obner Bases and Nullstellens\"atze for Graph-Coloring Ideals

We revisit a well-known family of polynomial ideals encoding the problem of graph-$k$-colorability. Our paper describes how the inherent combinatorial structure of the ideals implies several interesting algebraic properties. Specifically, we provide lower bounds on the difficulty of computing Gr\"obner bases and Nullstellensatz certificates for the coloring ideals of general graphs. For chordal graphs, however, we explicitly describe a Gr\"obner basis for the coloring ideal, and provide a polynomial-time algorithm.Comment: 16 page

Did domestic violence really increase in the early phase of the COVID-19 pandemic?:Results of an interview-based observational study

Objectives: The COVID-19 lockdown may lead to rising numbers of domestic violence (DV), especially among previously victimized individuals. The aim of this study was to investigate the development and influential factors of DV during the early COVID-19 lockdown. Methods: In this telephone-based study, previous participants with (n = 34) and without (n = 33) DV completed questionnaires on DV, attachment and COVID-19 related stressors. Development of DV and influential factors were investigated with repeated measures ANOVAs and linear regression models. Results: Individuals with prior DV reported significantly higher DV than previously not affected individuals. However, a statistically significant decrease of DV was found in the group with prior DV. Past DV, childlessness and insecure attachment, but not COVID-19 related stressors predicted current DV. Conclusions: In light of an insecure attachment style lockdown measures may have led to a temporary relationship stabilization. However, a reassessment is necessary to evaluate whether this stabilization was a short-time trend only

The interplay of Criterion A of the Alternative Model for Personality Disorders, mentalization and resilience during the COVID-19 pandemic

Background and aims: The COVID-19 pandemic has been accompanied by a worsening of mental health levels in some, while others manage to adapt or recover relatively quickly. Transdiagnostic factors such as personality functioning are thought to be involved in determining mental health outcomes. The present study focused on two constructs of personality functioning, Criterion A of the Alternative Model for Personality Disorders (AMPD, DSM-5) and mentalization, as predictors of depressive symptoms and life satisfaction during the COVID-19 pandemic. A second focus of the study was to examine whether this relationship was mediated by resilience. Methods: Linear regression analyses were used to examine the relationship between personality functioning measured by Criterion A (AMPD, DSM-5) and mentalizing abilities as predictors, and depression and life satisfaction as mental health outcomes. To assess the hypothesis that this relationship is mediated by resilience a structural equation modeling approach was conducted. Data from N = 316 individuals from the general population were collected. Results: Linear regression models revealed highly significant associations between Criterion A/mentalization and both outcome measures. Structural equation models showed a significant partial mediation by resilience of these relationships. Conclusion: Our results support the hypothesis that mentalizing serves as a protective function by promoting resilience to the impact of stress and threats. Criterion A and mentalization performed similarly as predictors of mental health outcomes, providing empirically overlapping operationalizations of personality functioning. This finding emphasizes the importance of personality functioning in positive and negative mental health outcomes. Furthermore, our results are consistent with a mediating role of resilience