Listening To An Everyday Kettle

How Can The Data Objects Collect Be Useful For Design Research?

Conference paper (2015)

Authors

N. Cila Design Aesthetics -

Elisa Giaccardi Human Information Communication Design -

Melissa Caldwell University of California

Fionn Tynan-O'Mahony The University of Edinburgh

C.J. Speed The University of Edinburgh

Neil Rubens University of Electro-Communications

Research Group

Design Aesthetics () (TU Delft)

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http://resolver.tudelft.nl/uuid:0197a2bb-103a-45bd-bede-8005981f620a

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Published Date

2015

Language

English

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Faculty

Industrial Design Engineering

Department

Human-Centered Design

Research Group

Design Aesthetics

Abstract

In the current Internet of Things (IoT) environment, objects are tagged with sensors without a clear understanding of people’s individual and collective patterns of behaviour. We argue that designers can create more meaningful and effective networked objects through collaborating with ethnographers and Machine Learning (ML) experts. In this paper, we present the approach and preliminary insights of two analysts from those disciplines on the same data set, and speculate on how they complement one another and the design process. Ethnographic data can indicate the questions that are interesting to study with ML algorithms and help interpret the data generated by ML by positioning it into wider socio-cultural situations. Ultimately, this collaboration can inspire designers to create meaningful products, services, and processes of IoT.