Kristin Lee Wood

University of Colorado | UCD

This paper describes the results of an agenda-setting panel session that took place at the 2021 International Design Engineering Technical Conferences organized by the Design Theory and Methodology (DTM) research community. While the state of design research in engineering design has advanced tremendously in the last thirty-five years since the for...

Occupational data mining and analysis is an important task in understanding today’s industry and job market. Various machine learning techniques are proposed and gradually deployed to improve companies’ operations for upstream tasks, such as employee churn prediction, career trajectory modelling and automated interview. Job titles analysis and embe...

Extreme-user experiences refer to experiences that simulate the extremes of user abilities like reduced or no visual attention or auditory attention. Inspired by the needs experienced by the users who experience physical or cognitive challenges, extreme-user perspectives can make designers understand their designs from an inclusive design perspecti...

The novelty of design concepts is often measured by experts’ judgment or indirect quantitative measures. Such measurement may have caused some issues of under or overestimation of human judgment due to their limited memory or experience. As an alternative to direct human judgment, crowdsourcing has been used for the evaluation of designs. While cro...

The design of cleaning and maintenance (CaM) robots is generally limited by their fixed morphologies, resulting in limited functions and modes of operation. Contrary to fixed shape robots, the design of reconfigurable robots presents unique challenges in designing their system, subsystems, and functionalities with the scope for innovative operation...

Extreme-users who experience physical, sensory or cognitive challenges can help identify latent needs across a majority of the general population users. Identifying these latent needs may open doors to novel products, services, and systems. Empathic design techniques of simulation tools and scenarios allow designers to experience a range of extreme...

The combination of scientific advances in additive manufacturing (AM) and smart materials (SMs) has enabled the development of a new interdisciplinary research area: 4D printing. This technology offers – via stimuli-responsive materials – promising transformation capabilities to objects whether at the functional, shape, or property levels. By consi...

We propose a large scalable engineering knowledge base as an integrated knowledge graph, comprising sets of (entity, relationship, entity) triples that are real-world engineering ‘facts’ found in the patent database. We apply a set of rules based on the syntactic and lexical properties of claims in a patent document to extract entities and their as...

Deep learning has been shown to be able to recognize data patterns better than humans in specific circumstances or contexts. In parallel, quantum computing has demonstrated to be able to output complex wave functions with a few number of gate operations, which could generate distributions that are hard for a classical computer to produce. Here we p...

Extreme-user experiences have a unique potential to enhance designer creativity by altering one’s perception of their own designs. This shift in perception is achieved by incorporating the perspectives of extreme-users who experience the latent unmet needs among the rest of the population and have the potential to inspire design professionals. Work...

The design of cleaning and maintenance (CaM) robots are generally limited by their fixed morphologies. Contrary to the fixed robotic systems, design for reconfiguration in robots presents unique challenges. Reconfigurable robots pose the challenge of designing their subsystems and functionalities such that a robot meets its system, performance, and...

Design-by-Analogy (DbA) is a design methodology wherein new solutions, opportunities or designs are generated in a target domain based on inspiration drawn from a source domain; it can benefit designers in mitigating design fixation and improving design ideation outcomes. Recently, the increasingly available design databases and rapidly advancing d...

We propose a large, scalable engineering knowledge graph, comprising sets of (entity, relationship, entity) triples that are real-world engineering facts found in the patent database. We apply a set of rules based on the syntactic and lexical properties of claims in a patent document to extract facts. We aggregate these facts within each patent doc...

The Design Innovation Methodology Handbook represents a contribution to our design journey. This handbook was developed by a number of contributors from the United States and Singapore. Through a co-creation effort and common interests to innovate together, the intent is to make a difference for all persons in our communities and society. Readers a...

Disability has been redefined by the World Health Organization as a function of a person’s interaction with the environment and not merely an innate part of a person. This redefinition highlights the need for inclusiveness in design solutions. To aid this, we apply and test the potential of different tools that restrict designers’ physical abilitie...

Design-by-Analogy (DbA) is a design methodology wherein new solutions, opportunities or designs are generated in a target domain based on inspiration drawn from a source domain; it can benefit designers in mitigating design fixation and improving design ideation outcomes. Recently, the increasingly available design databases and rapidly advancing d...

The Design Innovation Methodology Handbook represents a contribution to our design journey. This handbook was developed by a number of contributors from the United States and Singapore. Through a co-creation effort and common interests to innovate together, the intent is to make a difference for all persons in our communities and society. Readers a...

The Design Innovation Methodology Handbook represents a contribution to our design journey. This handbook was developed by a number of contributors from the United States and Singapore. Through a co-creation effort and common interests to innovate together, the intent is to make a difference for all persons in our communities and society. Readers a...

Design, as a set of principles, skills, and mindsets, crosses and transcends disciplines, academic fields, industry sectors, professions, and the scale of projects and applications. Design Thinking, as known in the popular vernacular, affects every business, community, and community member. Design, across professions, disciplines, commercial sector...

Industry 4.0, as the fourth industrial revolution, represents significant challenges and numerous innovation opportunities for future product realization. A critical area of Industry 4.0 is the advancement of new design theories, design methods, and design principles to drive and enable the revolution with designers, engineers, teams, and organizat...

Private and public sector organizations are realizing significant and lasting economic and social value through the adoption of design (Sheppard et al. in The business value of design. McKinsey & Company (2018), [1]); (2015 dmi: Design value index results and commentary—design management institute (2015), [2]); (Brown in Design thinking. Harvard Bu...

There are growing efforts to mine public and common-sense semantic network databases for engineering design ideation stimuli. However, there is still a lack of design ideation aids based on semantic network databases that are specialized in engineering or technology-based knowledge. In this study, we present a new methodology of using the Technolog...

There is a rapidly growing demand for itinerary planning in tourism but this task remains complex and difficult, especially when considering the need to optimize for queuing time and crowd levels for multiple users. This difficulty is further complicated by the large number of parameters involved, i.e., attraction popularity, queuing time, walking...

Data-driven conceptual design methods and tools aim to inspire human ideation for new design concepts by providing external inspirational stimuli. In prior studies, the stimuli have been limited in terms of coverage, granularity, and retrieval guidance. Here, we present a knowledge-based expert system that provides design stimuli across the semanti...

The Design Innovation Micro Experience (Micro DI) provides a framework and professionals, students, and / or community members to engage design thinking and design innovation through a 1, 2, or 3-hour experience. Inspired by Stanford d.school's Wallet Exercise-Project (https://www.ideo.com/blog/build-your-creative-confidence-the-wallet-exercise), M...

The Design Innovation Micro Experience (Micro DI) provides a framework and professionals, students, and / or community members to engage design thinking and design innovation through a 1, 2, or 3-hour experience. Inspired by Stanford d.school's Wallet Exercise-Project (https://www.ideo.com/blog/build-your-creative-confidence-the-wallet-exercise), M...

Private and public sector organizations are realizing significant and lasting economic and social value through the adoption of design [3][5][21]. As such, projects and initiatives that are design focused are increasingly being undertaken by businesses and governments. However, there is only a nascent understanding of how the impact of design shoul...

The novelty of designs is usually measured by human judges or indirect quantitative measures. However, humans may under or overestimate the novelty of ideas due to their limited memory or experience. As an alternative to direct human judgment, crowdsourcing has been used for the evaluation of designs. While crowds offer diversity and a wide experie...

Data-driven conceptual design methods and tools aim to inspire human ideation for new design concepts by providing external inspirational stimuli. In prior studies, the stimuli have been limited in terms of coverage, granularity, and retrieval guidance. Here, we present a knowledge-based expert system that provides design stimuli across the semanti...

Additive manufacturing (AM) continues to play an important role in product development. Often, AM is integrated into later stages of the design process for products during detailed design, manufacturing, and production. There is an opportunity to introduce AM during early-stage design, which could inspire new business models and services in additio...

Additive Manufacturing (AM) offers design engineers new and advanced manufacturing processes to consider when developing new products or redesigning and evolving current products. AM includes 3D printing processes to quickly produce complex parts and prototypes, that were previously uneconomical or impossible to fabricate. Engineers and organizatio...

A climbing robot including a chassis having a front portion and a rear portion, wherein the front portion and the rear portion are opposite end portions of the chassis along a forward movement axis of the chassis; at least one multi -legged rotary component including a hub rotatably coupled to the front portion of the chassis in an orientation with...

Early-stage ideation is a critical step in the design process. Mind maps are a popular tool for generating design concepts and in general for hierarchically organizing design insights. We explore an application for high-level concept synthesis in early stage design, which is typically difficult due to the broad space of options in early stages (e.g...

According to Simon (1988) [1], design is “devis[ing] courses of action aimed at changing existing situations into preferred ones.” In this context, “Good Design” is, on the one hand, subject to the eye of the beholder (the art or craft), and, on the other hand, an indisputable outcome (the science). In either case, “Good Design” comes about through...

In the current fast-paced and global context of design within organizations and enterprises, there is significant interest in integrating design approaches and methodologies across fields and industry sectors. Such an integration will provide a synthesis of design intent across user and stakeholder desirability, viability, feasibility, sustainabili...

A mentorship and training program led by the SUTD-MIT International Design Center (IDC, idc.sutd.edu.sg), and referred to as Design Odyssey (https://idc.sutd.edu.sg/programmes/design-odyssey/) [1] (Figs. 1-2), is a co-curricular program that helps students apply the principles of design innovation, human-centric design and making, and bridge the ga...

Additive Manufacturing (AM) offers engineers an entirely new manufacturing process to consider when developing a new product or redesigning an existing part to reach their design goal. AM utilizes 3D printing machines to quickly produce complex parts and prototypes, that were previously uneconomical or impossible to make. Many engineers will have a...

Since the start of COVID-19, several relevant corpora from various sources are presented in the literature that contain millions of data points. While these corpora are valuable in supporting many analyses on this specific pandemic, researchers require additional benchmark corpora that contain other epidemics to facilitate cross-epidemic pattern re...

Effective design of air-conditioner (AC) management system has the potential to reduce the cost of electricity consumption and help users to participate in demand response (DR) program as interruptible loads. However, optimizing the operation of AC is complex and, as a potential solution, computational intelligence (CI) techniques based model predi...

A tectonic origami device (100) is disclosed , which includes a flexible supporting substrate (102) ; and a plurality of substantially rigid planar members (104) arranged on the supporting substrate , the planar members configured in a non-overlapping cooperative arrangement to permit assembly of the device to form an enclosure. The device is confi...

Classification of crisis events, such as natural disasters, terrorist attacks and pandemics, is a crucial task to create early signals and inform relevant parties for spontaneous actions to reduce overall damage. Despite crisis such as natural disasters can be predicted by professional institutions, certain events are first signaled by civilians, s...

The research interest in mobile robots with independent steering wheels has been increasing over recent years due to their high mobility and better payload capacity over the systems using omnidirectional wheels. However, with more controllable degrees of freedom, almost all of the platforms include redundancy, which is modeled using the instantaneo...

This paper studies an interdisciplinary approach for improving building energy efficiency. In particular, the proposed approach integrates design innovation (DI) techniques, existing energy audit methods (EAM), and data-driven & engineering modeling techniques (DET) in the process of sustainable smart energy system design. From this perspective, DI...

Self-reconfigurable robots have been proposed for a quite long period and in large numbers. However, there are very few systematic methodologies proposed to categorize and evaluate such kinds of robots. In this paper, we put forward a framework for taxonomy and evaluation (TAEV) of selfreconfigurable robots, based on the mechanism reconfigurability...

Development of mesoscale robots is gaining interest in security and surveillance domains due to their stealth and portable nature in achieving tasks. Their design and development require a host of hardware, controls, and behavioral innovations to yield fast, energy-efficient, distributed, adaptive, robust, and scalable systems. We extensively descr...

Embodiments of the present invention provide users with a system and method for managing resources. The method and system allow end users to participate in the trading of resources which enables lowering of costs for the end users. Furthermore, the method and system also enable utilisation of resources in a manner which can optimise a load (for exa...

The research interest in robots with more than one steerable wheel has been increasing over recent years due to their high mobility while having a better payload capacity than systems using omnidirectional wheels. However, with more controllable degrees of freedom, almost all of the platforms include redundancy which leads to a modeling method base...

Deep learning has been shown to be able to recognize data patterns better than humans in specific circumstances or contexts. In parallel, quantum computing has demonstrated to be able to output complex wave functions with a few number of gate operations, which could generate distributions that are hard for a classical computer to produce. Here we p...

Job titles are the most fundamental building blocks for occupational data mining tasks, such as Career Modelling and Job Recommendation. However, there are no publicly available dataset to support such efforts. In this work, we present the Industrial and Professional Occupations Dataset (IPOD), which is a comprehensive corpus that consists of over...

In order to develop novel solutions for complex systems and in increasingly competitive markets, it may be advantageous to generate large numbers of design concepts then identify the most novel and valuable ideas. However, it can be difficult to process, review and assess thousands of design concepts. Based on this need, we develop and demonstrate...

The growing developments in general semantic networks, knowledge graphs and ontology databases have motivated us to build a large-scale comprehensive semantic network of technology-related data for engineering knowledge discovery, technology search and retrieval, and artificial intelligence for engineering design and innovation. Specially, we const...

System architecture and modularity decisions are inherent to preliminary concept design. Prior modularity research has considered minimizing interactions between modules and increasing the commonality among modular product variants. Effective approaches include function structure partitioning guidelines, affinity analysis or matrix clustering algor...

The demand for Itinerary Planning grows rapidly in recent years as the economy and standard of living are improving globally. Nonetheless, itinerary recommendation remains a complex and difficult task, especially for one that is queuing time- and crowd-aware. This difficulty is due to the large amount of parameters involved, i.e., attraction popula...

Modern engineering problems require solutions with multiple functionalities in order to meet their practical needs to handle a variety of applications in different scenarios. Conventional design paradigms for single design purpose may not be able to satisfy this requirement efficiently. This paper proposes a novel system-of-systems bio-inspired des...

Zero energy building (ZEB) is an important concept for sustainable building design. This paper introduces a holistic design approach for residential net-zero energy buildings (NZEB) by adopting the Triple Bottom Line (TBL) principles: social, environmental, and financial. The proposed approach optimizes social need by maximizing thermal comfort tim...

Fiber-reinforcement of structures built with additive manufacturing (AM) has been the focus of many recent innovations in the AM space. These innovations have further enabled AM's progress from a prototyping technology to a viable manufacturing process for end use parts under normal load conditions. This paper introduces a set of design principles...

To pursue innovation, design engineers need to continuously exploit the knowledge in their design domain and explore other relevant knowledge around the domain. While many methods and tools have been developed to retrieve knowledge within a given design domain, e.g., flying cars, knowledge discovery beyond the domain for innovation remains a challe...

Traditionally, the ideation of design opportunities and new concepts relies on human expertise or intuition and is faced with high uncertainty. Inexperienced or specialized designers often fail to explore ideas broadly and become fixed on specific ideas early in the design process. Recent data-driven design methods provide external design stimuli b...