Giving Form to Smart Objects: Exploring Intelligence as an Interaction Design Material

Rozendaal, Marco C.; Ghajargar, Maliheh; Pasman, Gert; Wiberg, Mikael

doi:10.1007/978-3-319-73356-2_3

Cited by 7 publications

(3 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The increasing ubiquity of ML encourages the research community to explore how to integrate ML into products. The idea of ML as design material assumed that ML is a tough design material to work with (Holmquist, 2017), and designers are supposed to understand the characteristics of ML for design innovations (Rozendaal et al, 2018). Furthermore, Benjamin et al (2021) advocated utilizing the uncertainty of ML as a design material that constitutes the UX of ML-enhanced products.…”

Section: Design Research About ML and Uxmentioning

confidence: 99%

Towards the conceptual design of ML-enhanced products: the UX value framework and the CoMLUX design process

Sun

Zhou

et al. 2023

AIEDAM

View full text Add to dashboard Cite

With the increasing utilization of machine learning (ML) to enhance products’ capabilities, the design research community has begun to explore how to support the conceptual design of ML-enhanced products. However, UX value creation of ML-enhanced products is still challenging because of ML's unique characteristics and numerous complex factors in conceptual design. To help designers create UX value for ML-enhanced products, we developed the UX value framework and the CoMLUX design process. The proposed framework describes how ML, stakeholders, and context co-create the UX value of ML-enhanced products, and identifies the growability and opacity of ML, helping designers systematically understand the co-creators while avoiding cognitive overload. The CoMLUX design process provides practical guidance for designing ML-enhanced products with growability and transparency. At last, we demonstrate the usage methods of the framework and process in an actual project and summarize the inspirations and limitations of our work.

show abstract

Section: Design Research About ML and Uxmentioning

confidence: 99%

Towards the conceptual design of ML-enhanced products: the UX value framework and the CoMLUX design process

Sun

Zhou

et al. 2023

AIEDAM

View full text Add to dashboard Cite

show abstract

“…Over the years the TEI field has evolved, and related concepts have emerged: Embodied Interaction concerns how computing systems and our interaction with them can change our perception of the physical reality [10], a material-centered approach to Interaction Design calls to emphasize the material manifestations of the interaction [34][35][36], and Soma Design, a body-centric approach to interaction design, focuses on a holistic approach to interaction design, incorporating bodies and movements into the design and use [16]. Further, the forms and form giving practices are prominent mediums in design processes to convey meaning for artifacts or how artifacts can be used through their perceived affordances [20,28,30]. Aesthetic criticism informed by aesthetic philosophy considers the form of an artifact as an unifying principle (sometimes known as "significant form" after Clive Bell [6]) that composes the work's disparate parts into a whole that is replete with meaning [4,5].…”

Section: Introductionmentioning

confidence: 99%

From ”Explainable AI” to ”Graspable AI”

Ghajargar

Bardzell

Renner

et al. 2021

Proceedings of the Fifteenth International Conference on Tangible, Embedded, and Embodied Interaction

Self Cite

View full text Add to dashboard Cite

Since the advent of Artificial Intelligence (AI) and Machine Learning (ML), researchers have asked how intelligent computing systems could interact with and relate to their users and their surroundings, leading to debates around issues of biased AI systems, ML black-box, user trust, user's perception of control over the system, and system's transparency, to name a few. All of these issues are related to how humans interact with AI or ML systems, through an interface which uses different interaction modalities. Prior studies address these issues from a variety of perspectives, spanning from understanding and framing the problems through ethics and Science and Technology Studies (STS) perspectives to finding effective technical solutions to the problems. But what is shared among almost all those efforts is an assumption that if systems can explain the how and why of their predictions, people will have a better perception of control and therefore will trust such systems more, and even can correct their shortcomings. This research field has been called Explainable AI (XAI). In this studio, we take stock on prior efforts in this area; however, we focus on using Tangible and Embodied Interaction (TEI) as an interaction modality for understanding ML. We note that the affordances of physical forms and their behaviors potentially can not only contribute to the explainability of ML systems, but also can contribute to an open environment for criticism. This studio seeks to both critique explainable ML terminology and to map the opportunities that TEI can offer to the HCI for designing more sustainable, graspable and just intelligent systems.

show abstract

“…Provided by the advancements in sensor technologies, artificial intelligence, and smart mate-rials, designers now have the opportunity to take on the exciting challenge of working with intelligence as a design material that can be used in form giving practices [1].…”

Section: Introductionmentioning

confidence: 99%

Envisioning and Questioning Near Future Urban Robotics

Lupetti¹,

Cila²,

Colombo³

et al. 2019

DeSForM19 Proceedings

View full text Add to dashboard Cite

Design and semantics of form and movement 72Design and semantics of form and movement 72 Abstract Robotic services, which have started to appear in urban environments, are going to transform our society.Designers of these robots are not only required to meet technical and legal challeng-es, but also address the potential social, political, and ethical consequences of their design choic-es. In this paper, we present a workshop format with its related tools intended for enabling speculation about such possible futures and fostering reflection on potential socio-ethical implications that might support/oppose these futures. We report the results and discussion of one par-ticular workshop case, in which the implementation of two particular robotic services for a city was envisioned and questioned, i.e., surveillance and delivery of goods.By discussing the re-sults, we illustrate how such a workshop format might be beneficial for setting the agenda for a more conscious design of urban robots and orienting future research towards meaningful themes related to the emerging coexistence scenarios between citizens and robots.

show abstract

Giving Form to Smart Objects: Exploring Intelligence as an Interaction Design Material

Cited by 7 publications

References 43 publications

Towards the conceptual design of ML-enhanced products: the UX value framework and the CoMLUX design process

Towards the conceptual design of ML-enhanced products: the UX value framework and the CoMLUX design process

From ”Explainable AI” to ”Graspable AI”

Envisioning and Questioning Near Future Urban Robotics

Contact Info

Product

Resources

About