New Challenges for Data Design

Bihanic, David

doi:10.1007/978-1-4471-6596-5

Cited by 15 publications

(4 citation statements)

References 7 publications

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“…In the early 1990s, Jacobson (2000) attempted to give DV, at the time incorporated in a broader concept of Information Design, its first label as a recognized discipline by painting a fragmented framework full of internal contradictions. Moreover, in this first framework emerges what twenty years later Bihanic's (2015) text confirms: every big technological revolution drastically influences this discipline, questioning most of its theories and practices. Everything revolves around information: with each technological step, as the type and quantity of information changes, the phenomenon of data boom occurs (Rhodes, 2015).…”

Section: Ie and DV Communication Limits A Common Fieldmentioning

confidence: 86%

Design for Global Challenges

Licaj,

D’Ascenzi

2023

Resourceedings

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The current emergencies such as climate change and sustainable development, are outlining the responsibility we have as researchers and designers to transform disruptive technologies into action/reaction tools able to address and overcome the nowadays challenges. From this perspective, as designers, we indeed believe that the key to change lies in human behavior, and thus precisely in this direction design can impact using disruptive technologies in raising awareness by resulting into behavioral change. Specifically, this paper aims to encompass how advanced technologies such as Data Visualization and Immersive Realities can cooperate in order to activate proactive behaviors in contemporary society through a careful analysis of opportunities and limitations. On the one hand, Data Visualization has always been used as a tool for analyzing and communicating emergencies (Snow, Nightingale, etc.), on the other hand, immersive realities are more recently beginning to explore this field. It is indeed at the meeting point between technology and Human Interface that the biggest gaps emerge, sometimes making the deployment of these technologies fail, due to sensory, sociological, psychological, and cognitive limitations. Have we ever wondered, for example, whether the rules of Gestalt and Bertin's theories, belonging to the first half of the 1900s, are sufficient today in making effective Data Visualization? Are we relying too much on the "astonishing" effect of immersive realities, paying more attention to their use rather than to the conveyance of the content? This paper attempts to critically analyze – in a multidisciplinary way and through a historical analysis, case studies, and personal experimentation – the use of disruptive technologies, such as XR and Data Visualization, trying to clarify their limits, potentialities, and plausible common application fields. The objective of the study is in fact related to the determination of possible theoretical and practical approaches for the development of validation tests regarding the use of disruptive technologies and their relationship with the Human Interface.

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Section: Ie and DV Communication Limits A Common Fieldmentioning

confidence: 86%

Design for Global Challenges

Licaj,

D’Ascenzi

2023

Resourceedings

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“…One of the ways in which the data imaginary is enacted and circulated is through the use of visual imagery (Beer, 2019 , p. 35). Yet, to our knowledge, there have been no studies on the visualization of the data imaginary, with current research in the field of data visualization sidestepping the speculative realm of promotional imagery completely (Bihanic, 2015 ; Engebretsen and Kennedy, 2020 ). And while the stereotypical and dualist tendencies around alternative images of aging in the design and implementation of digital technologies for older people—such as active vs. passive, fit vs. frail—are well documented (Peine et al, 2021 ), there has been little consideration in the field of socio-gerontechnology of how the data imaginary of old bodies at home is represented visually.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Visualizing the datasphere: Representations of old bodies and their data in promotional images of smart sensor technologies for aging at home

et al. 2022

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Technologies for people aging at home are increasingly prevalent and include ambient monitoring devices that work together with wearables to remotely track and monitor older adults' biometric data and activities of daily living. There is, however, little research into the promotional and speculative images of technology-in-use. Our paper examines the ways in which the datafication of aging is offered up visually by technology companies to promote their products. Specifically, we ask: how are data visualized in promotional images of smart sensor technologies for aging at home? And in these visualizations, what happens to the aging body and relations of care? We include in our definition of smart sensor technologies both wearable and ambient monitoring devices, so long as they are used for the in-home passive monitoring of the inhabitant by a caregiver, excluding those devices targeted for institutional settings or those used for self-monitoring purposes. Our sample consists of 221 images collected between January and July of 2021 from the websites of 14 English-language companies that offer smart sensor technology for aging at home. Following a visual semiotic analysis, we present 3 themes on the visual representation of old bodies and their data: (1) Captured Data, (2) Spatialized Data, and (3) Networked Data. Each, we argue, contribute to a broader visualization of the “datasphere”. We conclude by highlighting the underlying assumptions of old bodies in the co-constitution of aging and technologies in which the fleshy and lived corporeality of bodies is more often lost, reduced to data points and automated care scenarios, and further disentangled from other bodies, contexts and things.

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“…This is due to its capability to give shape to complex phenomena and to make them accessible both to the public and to experts in the field. Humanities are no exception and have been experimenting with similar practices, at times leading to interesting and meaningful results [5], at other times pointing to challenges or mismatches [6][7][8]. In fact, as Druker states, practices of data visualization have arisen from disciplines such as statistics, empirical sciences, and business and have been shaped by them according to their needs.…”

Section: Introductionmentioning

confidence: 99%

Design, Digital Humanities, and Information Visualization for Cultural Heritage

Trocchianesi,

Bollini

2023

MTI

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In this essay, we are interested in investigating some of the possible relations between design and digital humanities. In particular, we analyze the contribution that communication and interface design can bring to digital humanities. In a scene currently characterized by a heterogeneous set of activities and humanistic, technological, and cultural studies, the involvement of design seems confined to the development of digital instruments in accessing, exploring, and manipulating cultural data. How can design and the humanities work in an interdisciplinary way in order to shape new digital means to explore humanistic content? This essay presents four case studies (three of them developed by the authors), each of which suggests some methods and tools focused on the interdisciplinary relationships of scholars. The findings are both models of collaboration and models of digital architecture (data visualization) and showcase applied digital interactive platforms that present several paths to discovering different levels of content in the fields of art, psychology, literature, and history. In conclusion, this essay presents a manifesto focusing on ten points of virtuous relation between design humanities and the field of information visualization.

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New Challenges for Data Design

Cited by 15 publications

References 7 publications

Design for Global Challenges

Design for Global Challenges

Visualizing the datasphere: Representations of old bodies and their data in promotional images of smart sensor technologies for aging at home

Design, Digital Humanities, and Information Visualization for Cultural Heritage

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