Co-Designing with AI in Sight

Aranda-Muñoz, Á.; Florin, Ulrika; Yamamoto, Yoshiyuki; Eriksson, Yvonne; Sandström, Kristian

doi:10.1017/pds.2022.11

Cited by 7 publications

(4 citation statements)

References 19 publications

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“…Additionally, our research team has continued to delve into PSS approaches in healthcare that exploit AI. Our findings have shown that there is research being done in the filed of AI in rehabilitation (Davenport and Kalakota, 2019;Neuhüttler et al, 2020;Preidel and Stark, 2021;Aranda-Muñoz et al, 2022;Mennella et al, 2023) and AI in prosthetics and orthotics (Mai and Commuri, 2013;Kidziński et al, 2019;Nayak and Kumar Das, 2020;. To date, no explicit PSS literature (with or without the use of AI) concerning amputee aftercare, their evolving needs or the manufacture, distribution, ownership and use of prosthetics has been found.…”

Section: State Of the Art Product Service Systems For Amputee Healthcarementioning

confidence: 66%

An AI-based prosthesis framework fostering an adaptive amputee healthcare service

Patiniott,

Borg,

Francalanza

et al. 2024

Proc. Des. Soc.

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Despite technological and medical advances, amputations continue to increase. Amputees face significant challenges when acquiring and using prosthetic devices, challenges which are made worse as their emotional needs, aspirations, mobility, prosthesis requirements and problems change over time. These challenges require custom solutions for each individual amputee, a fact that current amputee centered prosthesis services tend to ignore. The work reported in this paper contributes an AI based Prosthesis Development Service Framework to cater for the current and evolving needs of amputees.

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Section: State Of the Art Product Service Systems For Amputee Healthcarementioning

confidence: 66%

An AI-based prosthesis framework fostering an adaptive amputee healthcare service

Patiniott,

Borg,

Francalanza

et al. 2024

Proc. Des. Soc.

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“…AI use will broadly affect a wide range of business areas and functions (van Giffen et al, 2020). Initial approaches involving individuals without broad AI expertise in the development of AI applications use AI Cards as an ad hoc means of mitigating the lack of knowledge (Aranda-Muñoz et al, 2022). The lack of detailed standardised models of AI development makes it difficult to communicate with non-IT engineers.…”

Section: Iced23mentioning

confidence: 99%

“…Also, of great importance is domain knowledge to be able to identify the potential of applications and use cases, and thus initiate bottom-up AI projects. People without much IT expertise should also be involved in the systematic processes to identify application opportunities (Aranda-Muñoz et al, 2022). At this point, care must be taken not to create a missing link between top-down and bottom-up perspectives in scientific literature.…”

Section: Iced23mentioning

confidence: 99%

Barriers to the Use of Artificial Intelligence in the Product Development – A Survey of Dimensions Involved

2023

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Artificial intelligence (AI) is seen as a great opportunity to secure future competitiveness in many corporate sectors. Potential for its use also exists in product development (PD) activities due to the amount of data generated and processed. Nevertheless, there are problems in applying the technology. This paper addresses current challenges based on a literature review, considering three disciplines that are necessary for the scope of this paper as a minimum: AI itself, information technology infrastructures (ITI) in context of digital transformation (DT), and PD as an application area. Building on the basic considerations of the state of the art, a link between the domains is established by outlining a possible reference framework towards the utilization of AI applications in PD. This enables an expanded interdisciplinary understanding. Key obstacles appear specifically to be difficult collaboration conditions between the disciplines of PD and AI applications development due to communication problems. Reasons for this include: – Meta models of PD do not provide a sufficient information base– Lack of standardized process models for the deployment of AI

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“…Hence, the ML software is a material, which can act as instruments of inquiry to support designers in ideating and exploring in the design space . Thus, when designing with ML software, the designer sees what the software produces, adjusts and re-prompts the software and then evaluates the outcome (Aranda-Muñoz et al, 2022) iteratively to develop a design.…”

Section: Reflective Practice With ML Softwarementioning

confidence: 99%

Dissolving distances: Designing close-to-body experiences for remote settings

Nesli Hazal Oktay

2023

HUB

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Prototypes are useful beyond usability testing; they're a strategic tool to drive alignment, to communicate value and vision, and to get digital products built correctly in a more efficient manner. They help teams move quickly by making instead of swirling in ideas. Through her work at IBM and currently as a Creative Director at the digital product design agency, argodesign, Kathryn Marinaro has found that the best practical uses for prototypes are for qualitative and strategic purposes. In this keynote, Kathryn will share her experience creating and utilizing prototypes to generate ideas with subject matter experts, to understand resonance and value with endusers, to explore new interaction models for emerging technology, and to communicate visions to stakeholders who control the direction of a product. She'll share examples of prototypes used throughout the process of the programs she leads and their outcomes and impact. Prototypes aren't just for testing, they're for delivering value.Kathryn Marinaro is an award-winning Creative Director who envisions the future and develops products and strategies for a wide variety of clients at argodesign. She is the author of Prototyping for Designers, published by O'Reilly, and has employed user-centered methodologies to create and iterate on impactful experiences in health wearables, AI interaction patterns, AI image recognition and training interfaces, and cloud development tools, while working on world-class design teams like IBM Watson Visioneering and IBM Mobile Innovation Lab. She has gained recognition as one of Austin's Top 50 Female UX Designers and as part of the Advisory Board for the inaugural Austin Design Week. She's been featured in articles in Fast

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Co-Designing with AI in Sight

Cited by 7 publications

References 19 publications

An AI-based prosthesis framework fostering an adaptive amputee healthcare service

An AI-based prosthesis framework fostering an adaptive amputee healthcare service

Barriers to the Use of Artificial Intelligence in the Product Development – A Survey of Dimensions Involved

Dissolving distances: Designing close-to-body experiences for remote settings

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