The bridge between engineering design and cognitive science research is critical to understand the effectiveness of methods as implemented by human designers. study reported in this paper evaluates effects fixation a group faculty, also provides evidence for approaches overcome fixation. Three conditions are compared, control, whom were provided with an example solution, defixation given materials mitigate their Measures include indicators participant perceptions. demonstrates that faculty...

Drawing inspiration from examples by analogy can be a powerful tool for innovative design during conceptual ideation but also carries the risk of negative outcomes (e.g., fixation), depending on key properties examples. Understanding these is critical effectively harnessing power analogy. The current research explores how variations in analogical distance, commonness, and representation modality influence effects ideation. Senior-level engineering students generated solution concepts an...

This work lends insight into the meaning and impact of “near” “far” analogies. A cognitive engineering design study is presented that examines effect distance analogical stimuli on solution generation, places those findings in context results from literature. The ultimately sheds new light analogies process significance their a problem. In this work, repository which are chosen U.S. patent database, natural choice, as it one largest easily accessed catalogued databases inventions. for were...

Artificial intelligence (AI) has shown its promise in assisting human decision-making. However, humans' inappropriate decision to accept or reject suggestions from AI can lead severe consequences high-stakes AI-assisted decision-making scenarios. This problem persists due insufficient understanding of trust AI. Therefore, this research studies how two types confidence that affect trust, their and themselves, evolve decisions. A cognitive study a quantitative model together examine changing...

One of the hallmarks engineering design is synthesis phase where creativity designer most prominently comes into play as solutions are generated to meet underlying needs. Over past decades, methodologies for generating concepts and have matured point that computation-based provides a means explore wider variety take over more tedious tasks. This paper reviews advances in function-based, grammar-based, analogy-based approaches their contributions computational research last decade.

Understanding how designers think is core to advancing design methods, tools, and outcomes. Engineering researchers have effectively turned cognitive science approaches studying the engineering process. Empirical methods used for designer thinking included verbal protocols, case studies, controlled experiments. Studies looked at role of strategies, environment, experience, group dynamics. Early empirical studies were casual exploratory with loosely defined objectives informal analysis...

Recent advances in artificial intelligence (AI) offer opportunities for integrating AI into human design teams. Although various AIs have been developed to aid engineering design, the impact of usage on teams has received scant research attention. This assesses a deep learning distributed through subject study that includes an abrupt problem change. The results demonstrate that, this study, boosts initial performance low-performing before change but always hurts high-performing potential...

Abstract Humans as designers have quite versatile problem-solving strategies. Computer agents on the other hand can access large-scale computational resources to solve certain design problems. Hence, if learn from human behavior, a synergetic human-agent team be created. This paper presents an approach extract strategies and implicit rules, purely historical data, use that for generation. A two-step framework learns imitate observation is proposed implemented. makes of deep learning...

Recent advances in artificial intelligence (AI) enable researchers to create more powerful AI agents that are becoming competent teammates for humans. However, human distrust of is a critical factor may impede human-AI cooperation. Although have been endowed with anthropomorphic traits, such as human-like appearance, prior studies improve trust AI, it still an open question whether humans teammate and achieve better joint performance if they deceived about the identity their another human....

Shape grammars, utilizing function labels, are shown to be applicable product design. A grammar that describes a language of coffeemakers is presented and generate large class currently on the market, as well new designs could introduced consumers.

The field of computational design synthesis has been an active area research for almost half a century. Research advances in this have increased the sophistication and complexity designs that can be synthesized, speed power computers efficiency with which those generated. Some results begun to used industrial practice, yet many open issues challenges remain. This paper provides model automated process as context discuss area. varied works authors are discussed representative breadth methods...

One of the greatest challenges in product development is creating a form that attractive to an intended market audience. Functional features are easier test and verify through user surveys consumer interactions. But, aesthetic preferences as varied people respond these products. Currently, there no technique clearly concisely quantifies preference. The common methods use semantics like “strong” “sexy”. A designer then needs take consumer’s desire for certain translate into will find...

This work presents a methodology for discovering structure in design repository databases, toward the ultimate goal of stimulating designers through design-by-analogy. Using Bayesian model combined with latent semantic analysis (LSA) structural form data, an exploration inherent forms, based on content and similarity is undertaken to gain useful insights into nature space. In this work, approach applied uncover U.S. patent database. More specifically, functional surface patents are processed...

An extended pattern search approach is presented for optimizing the placement of wind turbines on a farm. The algorithm will develop two-dimensional layout given number turbines, employing an objective function that minimizes costs while maximizing total power production farm cost developed using established simplified model turbines. development estimated wake model, which accounts aerodynamic effects turbine blades downstream speed, to output directly proportional. interaction turbulent...