Using interactive model simulations in co-design: An experiment in urban design

Steen, Marc; Arendsen, Jeroen; Cremers, Anita; Jong, Arnoud De; Jong, Jacomien De; Koning, Nicole de

doi:10.1080/15710882.2012.755549

Cited by 17 publications

(16 citation statements)

References 12 publications

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“…High effective platform and easy to use with low effort constitutes a primary motivation of consumers whether or not they collaborate with the manufacturer in product co-creation. In the same way, the experimentation by Steen [4] found that interactive tools come up with positive results both in communication and collaboration that lead to the design that meets the objective. The application of Data Science tools such as Manuscript Recommendation Engines or Smart Algorithms for dynamic pricing facilitates consumers' participation in product development [5].…”

Section: Introductionmentioning

confidence: 82%

Application of Kansei Engineering and Data Mining in Developing an Ingenious Product Co-design System

Sakornsathien¹,

Sinthupinyo²,

Anuntavoranich³

2019

IJMLC

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This research intends to be a part in developing an automatic system that shows the potential of designing a product form by co-designing with the user in order to make it suitable for each consumer by applying Kansei Engineering Technique. However, the operation of KE needs data collection from specific target group in order to devise a formula and interpret the results when applying to study the same target group, or else the accuracy will be reduced. In order to eliminate the drawbacks, Data Mining techniques will be applied with KE system in order to use as an ingenious product co-design system.The style and preference of each user will be used as a categorizing factor clustering the database into groups with K-means technique, in this research. Each classifying cluster will use its own database in the system processing in order to gain a set of design elements precisely from the system. Decision Tree classification technique is selected for the study. For the model validation, we apply the cross-validation as an unbiased model performance evaluation. In order to build the KE system, the sentiments in this research are indicated by 5 pair-words constituting the system data. The result shows that, this method offers more accurate prediction of design elements comparing to the method which undivided users.Index Terms-Data mining, machine learning, Kansei engineering, product development.

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Section: Introductionmentioning

confidence: 82%

Application of Kansei Engineering and Data Mining in Developing an Ingenious Product Co-design System

Sakornsathien¹,

Sinthupinyo²,

Anuntavoranich³

2019

IJMLC

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“…Codesign is a method that promotes the preference of the end users by engaging them in the development process 10 12. We report our experience in using a codesign approach to develop a support intervention for families affected by SCD in the young.…”

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…Involvement of end users in the deliberation and development of policy and programmes will lead to more inventive ideas that better address user needs 12. As demands on services continue to grow and become more complex, codesign is increasingly being recognised as an important method in health service improvement and as a key vehicle for delivering a more efficient and patient-focused system,11 including for care of the elderly, the young, family services and chronic disease 10 13–15. Focus groups are an established research method that promote engagement of participants through a less intimidating manner than one to one interviews, and without the high literacy demands of written surveys 16.…”

Section: Introductionmentioning

confidence: 99%

“…Codesign is a collaborative change process that involves patients, family members, healthcare providers, researchers and others in working together to design, develop and improve healthcare services. 10 11 Involvement of end users in the deliberation and development of policy and programmes will lead to more inventive ideas that better address user needs. 12 As demands on services continue to grow and become more complex, codesign is increasingly being recognised as an important method in health service improvement and as a key vehicle for delivering a more efficient and patient-focused system, 11 including for care of the elderly, the young, family services and chronic disease.…”

Section: Introductionmentioning

confidence: 99%

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Using codesign focus groups to develop an online COmmunity suPporting familiEs after Sudden Cardiac Death (COPE-SCD) in the young

Yeates

Gardner

et al. 2022

BMJ Open

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ObjectiveTo codesign an online support intervention for families after sudden cardiac death (SCD) in the young (<35 years).DesignCodesign of an SCD family intervention by stakeholder focus groups.SettingFamilies and healthcare professionals with experience in SCD in the young.ParticipantsSemistructured online focus groups were held with key stakeholders, that is, family members who had experienced young SCD, healthcare professionals and researchers based in New South Wales, Australia. Guided discussions were used to develop an online support intervention. Thematic analysis of discussions and iterative feedback on draft materials guided content development.ResultsFour focus groups were held (4–6 participants per group, 12 unique participants). Stakeholder involvement facilitated development of high-level ideas and priority issues. Creative content and materials were developed based on user preference for stories, narratives and information reflecting everyday experience of families navigating the legal and medical processes surrounding SCD, normalising and supporting grief responses in the context of family relationships and fostering hope. Emphasis on accessibility led to the overarching need for digital information and online engagement. These insights allowed development of an online intervention—COPE-SCD: A COmmunity suPporting familiEs after Sudden Cardiac Death—which includes a website and online support programme.ConclusionUsing codesign with stakeholders we have developed a support intervention that addresses the needs of SCD families and aims to fill a large gap in existing healthcare. We will evaluate COPE-SCD to determine whether this is an effective intervention for support of families following a young SCD.

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Designing and Innovating in Digital Healthcare: Co‐design for Taking Patients' Needs into Account

Grenier¹,

Ibrahim²,

Paixão-Barradas³

2021

The Digital Revolution in Health

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Using interactive model simulations in co-design: An experiment in urban design

Cited by 17 publications

References 12 publications

Application of Kansei Engineering and Data Mining in Developing an Ingenious Product Co-design System

Application of Kansei Engineering and Data Mining in Developing an Ingenious Product Co-design System

Using codesign focus groups to develop an online COmmunity suPporting familiEs after Sudden Cardiac Death (COPE-SCD) in the young

Designing and Innovating in Digital Healthcare: Co‐design for Taking Patients' Needs into Account

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