Concept of a Robust & Training-free Probabilistic System for Real-time Intention Analysis in Teams

Die Arbeit beschäftigt sich mit der Analyse von Teamintentionen in Smart Environments (SE). Die fundamentale Aussage der Arbeit ist, dass die Entwicklung und Integration expliziter Modelle von Nutzeraufgaben einen wichtigen Beitrag zur Entwicklung mobiler und ubiquitärer Softwaresysteme liefern können. Die Arbeit sammelt Beschreibungen von menschlichem Verhalten sowohl in Gruppensituationen als auch Problemlösungssituationen. Sie untersucht, wie SE-Projekte die Aktivitäten eines Nutzers modellieren, und liefert ein Teamintentionsmodell zur Ableitung und Auswahl geplanten Teamaktivitäten mittels der Beobachtung mehrerer Nutzer durch verrauschte und heterogene Sensoren. Dazu wird ein auf hierarchischen dynamischen Bayes’schen Netzen basierender Ansatz gewählt

Cognitive modeling of social behaviors

To understand both individual cognition and collective activity, perhaps the greatest opportunity today is to integrate the cognitive modeling approach (which stresses how beliefs are formed and drive behavior) with social studies (which stress how relationships and informal practices drive behavior). The crucial insight is that norms are conceptualized in the individual mind as ways of carrying out activities. This requires for the psychologist a shift from only modeling goals and tasks —why people do what they do—to modeling behavioral patterns—what people do—as they are engaged in purposeful activities. Instead of a model that exclusively deduces actions from goals, behaviors are also, if not primarily, driven by broader patterns of chronological and located activities (akin to scripts). To illustrate these ideas, this article presents an extract from a Brahms simulation of the Flashline Mars Arctic Research Station (FMARS), in which a crew of six people are living and working for a week, physically simulating a Mars surface mission. The example focuses on the simulation of a planning meeting, showing how physiological constraints (e.g., hunger, fatigue), facilities (e.g., the habitat’s layout) and group decision making interact. Methods are described for constructing such a model of practice, from video and first-hand observation, and how this modeling approach changes how one relates goals, knowledge, and cognitive architecture. The resulting simulation model is a powerful complement to task analysis and knowledge-based simulations of reasoning, with many practical applications for work system design, operations management, and training

Actors and dynamics of a policy transfer network: Brazil as a developer and the cooperation on food and nutritional security in the Community of Portuguese-Speaking Countries

Based on the discussions of Role Theory and policy transfer, this paper analyzes how the transfer of food and nutritional security policies to the Community of Portuguese Speaking Countries relates to Brazil´s performance as a “developer”. We demonstrate how a transnational policy transfer network congregating several cooperation modalities was constructed as a status-seeking strategy grounded on projecting domestic policies. Therefore, the policy transfer case study, was carried out, through interviews and document analysis, in order to observing the cooperative dynamic by mapping the effects that the contacts established between several actors had in the long term. The temporal scope of the analysis begins with the arrival of Lula da Silva to the Presidency in 2003, and extends until the II Extraordinary Meeting of the CPLP Council of Food and Nutritional Security, in June 2017. For conducting an operational analysis, social participation and inter-sectorial work were selected as representatives of the conceptual framework related to the Human Right to Adequate Food, since they are two central ideas for the policies that are the object of experience-sharing in South-South cooperation on food and nutritional security

The development of trust at multiple levels in strategic alliances

Most of prior multilevel studies on trust in inter-organizational relationships place much emphasis on specifying the level of analysis at which trust occurs (i.e. individual, group, or organization level) while overlooking the level of management, which refers to the hierarchical echelons within an organization. In addition, more often than not, the inter-organizational context where trust develops is not specified. Integrating both levels-of-analysis and levels-of-management perspectives, the dissertation investigates the distinctive trust dynamics at two hierarchical echolons, to understand the cross-level interaction between these echelons which leads to the establishment of shared trust in the partner organization and the formation of organization-level trust, and to contemplate the factors that might lead to within-organization trust heterogeneity. The focus on the management level also enables to discern contingencies associated with the trust development process in horizontal alliances as opposed to vertical alliances. Adopting the case stud method, the alliance between KLM and Northwest Airlines is investigated to illustrate key concepts in the developed theoretical framework and to buld a stronger case for future large-scale empirical studies.:CHAPTER 1: INTRODUCTION 1.1. Motivation for the dissertation 1.2. Objectives of the dissertation 1.3. Key contributions of the dissertation 1.4. Structure of the dissertation CHAPTER 2: THEORETICAL BACKGROUND 2.1 The concept of trust in strategic alliances 2.1.1 Definition of trust 2.1.2 Levels of trust 2.1.3 Trust development in strategic alliances 2.2 Boundary spanning roles in strategic alliances 2.2.1 Nature of boundary spanning roles in strategic alliances 2.2.2 Hierarchical perspective on boundary spanning roles CHAPTER 3: THEORETICAL FRAMING 3.1 Theoretical model of trust development in strategic alliances 3.1.1 Initiation stage 3.1.2 Negotiation stage 3.1.3 Formation stage 3.1.4 Implementation stage 3.2 Boundary condition of trust development 3.2.1 Interpersonal-level characteristics 3.2.2 Firm-level characteristics 3.2.3 Alliance-level characteristics 3.3 Discussion 3.3.1 Integration of level of analysis and level of management 3.3.2 Within-organization trust homogeneity vs. heterogeneity 3.3.3 Context of analysis: vertical alliances vs. horizontal alliances CHAPTER 4: ILLUSTRATIVE CASE STUDY 4.1 Objective of the empirical study 4.2 Rationale for case study methodology 4.3 Research Design 4.3.1 Data collection 4.3.2 Data analysis 4.3.3 Validity and reliability of the study 4.4 Results 4.4.1 Alliance background 4.4.2 Impact of corporate-level trust on operating-level trust 4.4.3 Influence of operating-level trust on corporate-level trust CHAPTER 5: IMPLICATIONS, LIMITATIONS AND CONCLUSION 5.1 Implications of the dissertation 5.2 Limitations of the dissertation 5.3 Conclusion REFERENCES APPENDI

Activity, context, and plan recognition with computational causal behavior models

Objective of this thesis is to answer the question "how to achieve efficient sensor-based reconstruction of causal structures of human behaviour in order to provide assistance?". To answer this question, the concept of Computational Causal Behaviour Models (CCBMs) is introduced. CCBM allows the specification of human behaviour by means of preconditions and effects and employs Bayesian filtering techniques to reconstruct action sequences from noisy and ambiguous sensor data. Furthermore, a novel approximative inference algorithm – the Marginal Filter – is introduced