Application of External Stimuli During Ideation: Impact of Background and Inclination Based Stimuli on Novice Minds

Deo, Saurabh; Hölttä‐Otto, Katja

doi:10.1109/icteed.2017.8585668

Cited by 3 publications

(10 citation statements)

References 12 publications

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“…Utilizing recommendation systems, we inspire new ideas by generating recommendations based on gathered ideas on known concepts and experiences the users provide the system with. The cognitive process of reusing and building new ideas and innovation upon previous ideas has been observed in various studies [2,5,6,14,15]. Furthermore, our approach supports various ideation techniques and methods and has been tailored to them as we examine ideas that have been written in sentences and as keywords.…”

Section: Introductionmentioning

confidence: 74%

“…The goal of ideation is to produce a range of potential solutions, concepts, or strategies that can then be evaluated and implemented. Often, generated ideas are based on previous concepts, ideas, and experiences [2,5,6,14,15]. Knoll and Horton [6] outline the risk of how using previous concepts can hinder the generation of novel ideas, but state that providing a change of perspective can alleviate this and lead to new concept associations [6].…”

Section: Ideationmentioning

confidence: 99%

“…Over 70 ideation methods exist [5,6], and among them, the most well known is brainstorming [2], which is commonly used in all domains in both the academic as well as industrial sectors, while a majority of the rest is unknown [5]. Another reason for only using a small number of methods is that users never tried any of the others due to a combination of time constraints and reluctance to try a new method, thus making it impossible for them to have positive experiences with new methods [5]. This results in the process of finding an appropriate ideation method becoming hindered by a lack of knowledge and experience with lesser-known, but potentially more appropriate, methods.…”

Section: Ideationmentioning

confidence: 99%

“…The ideas of the ideation session and their topics are stored in a persistent idea database (4). The ideas are then used by the recommendation module, along with the other illustrated data sources, to find items of relevance that are similar to the ideas (5). The recommendations are then sent to the ideation support system (6).…”

Section: General Approachmentioning

confidence: 99%

“…Generating innovative, feasible ideas leads to new products and solutions to challenges plaguing consumers and societies. Various studies have examined how humans ideate and have resulted in over 70 ideation techniques and methods [5,6]. Recent studies have examined how machines can generate ideas, for example, with large language models [7,8].…”

Section: Introductionmentioning

confidence: 99%

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The benefits of ideation for both industry and academia alike have been outlined by countless studies, leading to research into various approaches attempting to add new ideation methods or examine how the quality of the ideas and solutions created can be measured. Although AI-based approaches are being researched, there is no attempt to provide the ideation participants with information that inspire new ideas and solutions in real time. Our proposal presents a novel and intuitive approach that supports users in real time by providing them with relevant information as they conduct ideation. By analyzing their ideas within the respective ideation sessions, our approach recommends items of interest with high contextual similarity to the proposed ideas, allowing users to skim through, for example, publications and inspire new ideas quickly. The recommendations also evolve in real time. As more ideas are written during the ideation session, the recommendations become more precise. This real-time approach is instantiated with various ideation methods as a proof of concept, and various models are evaluated and compared to identify the best model for working with ideas.

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Section: Introductionmentioning

confidence: 74%

Section: Ideationmentioning

confidence: 99%

Section: Ideationmentioning

confidence: 99%

Section: General Approachmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Integrating Machine Learning in Visual Analytics for Supporting Collaboration in Science

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Systematic design approach for tailored air intake manifolds

Fiorineschi,

Generini,

Rotini

et al. 2024

Int J Interact Des Manuf

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The work described in this paper aims to present a systematic approach for efficiently exploiting Computational Fluid Dynamics (CFD) simulations in early conceptual design phases. More specifically, the proposed procedure strives to use simplified CFD models with a limited amount of computational resources. It is then expected to better support preliminary evaluations of the fluid dynamic efficiency of early ideas, as well as to support idea generation. The proposed approach is focused on the conceptual design phase, intended here as the design stage where new ideas about forms and geometries for the fluid volume are generated. A systematic and iterative procedure has been devised and constitutes the core of the approach, which has been applied to a real case study, involving both industrial and academic staff. Five different concepts have been proposed and then evaluated from a manufacturing point of view by the industrial staff, who identified a preferred solution, which has been further developed and then verified through an additional simulation. The results show that by using the proposed systematic procedure, it has been possible to prevent the firm from developing a non-optimal solution, previously hypothesized by following a simple intuitive path based on precedent experiences. This work shows that the adoption of systematic design approaches integrated with modern tools like CFD can actually be a valid support also for SMEs.

show abstract

Application of External Stimuli During Ideation: Impact of Background and Inclination Based Stimuli on Novice Minds

Cited by 3 publications

References 12 publications

Real-Time Ideation Analyzer and Information Recommender

Real-Time Ideation Analyzer and Information Recommender

Integrating Machine Learning in Visual Analytics for Supporting Collaboration in Science

Systematic design approach for tailored air intake manifolds

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