Association, Reflection, Stimulation: Problem Exploration in Early Design through AI-Augmented Mind-Mapping

The formulation of a problem is often more essential than its solution, which may be merely a matter of mathematical or experimental skill. To raise new questions, new possibilities, to regard old problems from a new angle requires creative imagination and marks real advances in science. - Albert Einstein This dissertation aims at developing a computational framework to support the process of problem exploration in early design. To do so, we investigate digital mind-mapping as a tool for problem exploration and develop new algorithms and interaction workflows by leveraging large knowledge databases. The central premise of this work is that channeling the designer's thinking process through intelligent stimulation using such databases can augment designers' ability to reason about the problem at hand and creatively synthesize new ideas to address the problem. Design problems are typically ambiguous, ill-defined, unstructured, and open-ended. Therefore, learning about the problem and exploration of the problem domain is critical in early design to build a well-developed understanding of the context toward fruitful solution exploration in design. Despite the importance of problem understanding in design, little research has been devoted to investigating problem exploration activities in-depth and drawing a clear connection on the effects of such activities on the resulting design outcomes. Most current efforts focus exclusively on implementing methods for ideation, conceptualization, and concept evaluation wherein the solution space takes prominence. In this regard, this dissertation aims to complement this with a study of problem exploration techniques (mind-mapping and free writing) and evaluation in early design. We highlight the importance of problem-based exploration and learning, and share insights on how the structure and associative capability afforded by mind-maps affect ideation on the problem statement, product opportunity gap, and the needs around a given design context. It is common for designers to tend to commit to solutions too early and limit the potential of discovering creative and novel ideas in early design. This tendency is further pronounced with the advent of several digital design tools that are feature-rich and focus on design conceptualization and solution formulation, rather than design problem exploration. Additionally, much of the research in design theory and methodology has also mostly focused on conceptualization techniques such as C-Sketch and morphological matrix, that aim to support the formation of new solution concepts through modification and re-interpretation of rough initial ones. To complement these, in this dissertation, we emphasize the importance of problem exploration and brainstorming tasks towards design opportunity identification during early design. This is studied with the use of mind-maps, a technique that helps designers express their thoughts by making connections or associations between ideas around a given context. Further, we propose novel human-computer collaborative mind-mapping workflows for enhancing design experiences through novel textual, verbal and visual computer supports. Specifically, we designed and implemented two cognitive support mechanisms to help designers in inspecting design problems and generating ideas. Human-subject studies were conducted to examine how these systems perform and user perception. Based on the extensive investigation, this dissertation further shares insights on how to promote reflection in problem exploration by stimulating association across ideas, and develops design implications for intelligent AI-augmented workflows during early design exploratory tasks

Case Study on Design Management: Inefficiencies and Possible Remedies

Delivering better products with a reduced lead time and less resources has become the primary focus of design management. The aim of this work is to revisit typical design management inefficiencies and discuss possible remedies for these problems. To this end, a case study and interviews with seven Estonian architects were carried out. The data obtained was analyzed within the framework of the transformation-flow-value theory of production. Despite its failure to deliver customer value, a single-minded transformation view of operations has been the dominant approach taken in design management and processes, leading to inefficiencies in design practices

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

Fostering Emotional Engineers: Revisiting Constructive Thinking in Engineering Education

For the past decade, engineering education efforts at the postsecondary level have sought to create a more holistic type of critical thinker (Felder & Brent, 2015; Grasso & Burkins, 2010). As part of this initiative, engineers are encouraged to develop skills associated with constructive thinking—a pedagogical concept rooted in the belief that knowledge is constructed through continual interaction with peers and the environment (Anderson, 2013; Driscoll, 2005; Shayer, 2003). However, despite the positive ramifications linked with this pedagogical shift, studies have demonstrated that the increased use of collaborative aspects associated with constructivist teaching practices may be negatively impacting female students (Rosser, 2009; Tonso, 1996; Wolfe & Powell, 2009a, 2009b). Taking a primarily philosophical approach, the contribution of emotions to constructive thinking is explored utilizing Thayer-Bacon’s (2000) conceptualization of the concept to argue that the pedagogical shift within engineering has not fully incorporated a holistic approach to learning. The results of recent studies in engineering education are analyzed to highlight the negative consequences associated with overlooking emotions as contributors to constructive thinking primarily for female students in the field (Jones et al., 2013; Tonso, 1996, 2006; Wolfe & Powell, 2006). To conclude, the value of emotions for the engineering discipline is underscored by using work by Jaggar (1992, 1998) to explore its historical association with female thought and its overall impact on the construction of knowledge

A department of methodology can coordinate transdisciplinary sport science support

In the current sporting landscape, it is not uncommon for professional sport teams and organizations to employ multidisciplinary sport science support teams. In these teams and organizations, a “head of performance” may manage a number of sub-discipline specialists with the aim of enhancing athlete performance. Despite the best intentions of multidisciplinary sport science support teams, difficulties associated with integrating sub-disciplines to enhance performance preparation have become apparent. It has been suggested that the problem of integration is embedded in the traditional reductionist method of applied sport science, leading to the eagerness of individual specialists to quantify progress in isolated components. This can lead to “silo” working and decontextualized learning environments that can hinder athlete preparation. To address this challenge, we suggest that ecological dynamics is one theoretical framework that can inform common principles and language to guide the integration of sport science sub-disciplines in a Department of Methodology. The aim of a Department of Methodology would be for group members to work within a unified conceptual framework to (1) coordinate activity through shared principles and language, (2) communicate coherent ideas, and (3) collaboratively design practice landscapes rich in information (i.e., visual, acoustic, proprioceptive and haptic) and guide emergence of multi-dimensional behaviors in athlete performance

Institutional theory and legislatures

Institutionalism has become one of the dominant strands of theory within contemporary political science. Beginning with the challenge to behavioral and rational choice theory issued by March and Olsen, institutional analysis has developed into an important alternative to more individualistic approaches to theory and analysis. This body of theory has developed in a number of ways, and perhaps the most commonly applied version in political science is historical institutionalism that stresses the importance of path dependency in shaping institutional behaviour. The fundamental question addressed in this book is whether institutionalism is useful for the various sub-disciplines within political science to which it has been applied, and to what extent the assumptions inherent to institutional analysis can be useful for understanding the range of behavior of individuals and structures in the public sector. The volume will also examine the relative utility of different forms of institutionalism within the various sub-disciplines. The book consists of a set of strong essays by noted international scholars from a range of sub-disciplines within the field of political science, each analyzing their area of research from an institutionalist perspective and assessing what contributions this form of theorizing has made, and can make, to that research. The result is a balanced and nuanced account of the role of institutions in contemporary political science, and a set of suggestions for the further development of institutional theory

Simulating activities: Relating motives, deliberation, and attentive coordination

Activities are located behaviors, taking time, conceived as socially meaningful, and usually involving interaction with tools and the environment. In modeling human cognition as a form of problem solving (goal-directed search and operator sequencing), cognitive science researchers have not adequately studied “off-task” activities (e.g., waiting), non-intellectual motives (e.g., hunger), sustaining a goal state (e.g., playful interaction), and coupled perceptual-motor dynamics (e.g., following someone). These aspects of human behavior have been considered in bits and pieces in past research, identified as scripts, human factors, behavior settings, ensemble, flow experience, and situated action. More broadly, activity theory provides a comprehensive framework relating motives, goals, and operations. This paper ties these ideas together, using examples from work life in a Canadian High Arctic research station. The emphasis is on simulating human behavior as it naturally occurs, such that “working” is understood as an aspect of living. The result is a synthesis of previously unrelated analytic perspectives and a broader appreciation of the nature of human cognition. Simulating activities in this comprehensive way is useful for understanding work practice, promoting learning, and designing better tools, including human-robot systems

To Frame or Reframe: Where Might Design Thinking Research Go Next?

Design thinking is gaining widespread attention in the practitioner and academic literature. Successful implementation has been documented, and its value shown in empirical studies. There is little examination, however, of how design thinking practices fit with other approaches from which firms might choose to frame and solve problems such as agile, lean startup, scientific method, Six Sigma, critical thinking, and systems thinking. By digging into the basic capabilities underlying design thinking, academic researchers might better understand problem framing and solving in general and provide insight for practitioners as to where alternative approaches might be applied