The future of computing and food

Obrist, Marianna; Marti, Patrizia; Velasco, Carlos; Tu, Yunwen; Narumi, Takuji; Møller, Naja L. Holten

doi:10.1145/3206505.3206605

Cited by 19 publications

(14 citation statements)

References 7 publications

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“…A number of books bring together HFI research, or are well represented in our dataset [6,24]. There is a FoodCHI SIG [3], and an ACM Future of Computing Academy working group on Computing and Food [20]. HFI is represented at a broad array of conferences, ranging from interaction design [15,17] through to AI [22].…”

Section: Related Workmentioning

confidence: 99%

Visualising the Landscape of Human-Food Interaction Research

Bertran

Jhaveri

Lutz

et al. 2018

Proceedings of the 2018 ACM Conference Companion Publication on Designing Interactive Systems

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While conducting a review of food-related technology research, we discovered that activity in this area is skyrocketing across a broad range of disciplinary interests and concerns. The dynamic and heterogeneous nature of the research presents a challenge to scholars wishing to critically engage with prior work, identify gaps and ensure impact. In response to this challenge, we are developing an online visualisation tool: an app that affords diffractive reading of the literature, mapping interferences and differences from varied perspectives. We present our first iteration of the app, which enables scholars to navigate the literature through seven lenses-focus, agency, domain, date of publication, author keywords, and publication venue and type. Here we present the first iteration of the app, toward receiving critical input from concerned researchers, to validate our approach and ensure relevance moving forward.

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Section: Related Workmentioning

confidence: 99%

Visualising the Landscape of Human-Food Interaction Research

Bertran

Jhaveri

Lutz

et al. 2018

Proceedings of the 2018 ACM Conference Companion Publication on Designing Interactive Systems

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“…In the spirit of 'punk HCI', their contribution unleashes the use of an unusual format, at least in the context of HCI. Although it is ring-fenced inside CHI's designated progressive section, alt.chi, this contribution, alongside other HCI and interaction design contributions [22,35,45,20,27,1,21,39,6,24], uses the manifesto as a way of provoking a discussion around complex issues. In many of these manifestos one witnesses attempts by HCI researchers to perform a series of (often overlapping) moves: to speak collectively, build consensus, raise awareness, advocate for and accelerate change, speak for and from the margins, disrupt the status quo, unsettle stuck discourse, sidestep conventional modes, expose broken promises, and 'circumvent ordinary ... avenues' of redress if they are too slow in responding to urgent demands for change [34].…”

Section: Hci Needs the Manifestomentioning

confidence: 99%

Fourth-Wave HCI Meets the 21st Century Manifesto

Ashby

Hanna

Matos

et al. 2019

Proceedings of the Halfway to the Future Symposium 2019

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We take up Bødker's [9] challenge to 'identify' a fourth wave HCI, building on the work of Blevis et al. [8] and others to shore up a new vision that places 'politics and values and ethics' at the forefront without abandoning the strengths of previous waves. We insist that a fourth wave must push harder, beyond measured criticism for actual (e.g. institutional) change. We present two studies performed at CHI'19, where we used our MANIFESTO! game to: 1) take the temperature of colleagues on adopting an activist stance, 2) test manifesto writing as a key activity in pushing HCI forward into the fourth wave, and 3) test our game for subsequent iterations, and as a probe for inspiring new digital tools. With the enthusiastic response received to gameplay, facilitated in part through a novel method using tableau vivant, we argue for taking political activism from the margins into mainstream HCI.

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“…The future of computing and food vision (Obrist, 2018 are implemented today in the firmware of ABRAHAM. However hardware is the barebone of the system but brainware is the system heart.…”

Section: Conclusion the Data Analytics In Connoisseur Labmentioning

confidence: 99%

ABRAΗAM, a Semiautomatic Trainable Connoisseur Lab, as a Big Data Collection Platform

Agrafiotis¹,

Zisopoulos²,

Spinthiropoulos³

2019

JFS

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The main idea of the invention is an expert system to execute a specific recipe through a food container and a moving and tilting pot with gases and visible cooking analysis. Details used to achieve professional results are: food preprocessing and weighted, normal warehouse, fridge, and deep fridge, overall positioning, computer control, monitoring the cooking gases and light spectrum and trainability. The machinery line has been designed for the semi-professional market but it has capabilities for catering, military operation, gourmet cooking and serving. The modular design permits an entry system with a few food containers, two pots, an oven and the base software running on a single PC while the advanced option uses thousands of food boxes, tenths of pots, pans, ovens and high expert systems intelligence running on real time industrial computers. All these give unlimited futuristic capabilities covering the 10-year time for Return on Investment. The cooking on this machine is a statistical Big Data cooking with Data Science principles.

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The future of computing and food

Cited by 19 publications

References 7 publications

Visualising the Landscape of Human-Food Interaction Research

Visualising the Landscape of Human-Food Interaction Research

Fourth-Wave HCI Meets the 21st Century Manifesto

ABRAΗAM, a Semiautomatic Trainable Connoisseur Lab, as a Big Data Collection Platform

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