In this article, Lylo Trotta explain the value that both contextual inquiry and ethnographic research provide and discuss why these practices are a crucial, even indispensable part of UX research and design.
The Gogle Wellbeing Lab joined up with the company's Pixel team to run an ethnographic study across four countries, examining the relationship people in the United States, Germany, India, and South Korea had with their selfies.
Provocative and engaging in both its broad scope and its surprising details, The WEIRDest People in the World explores how culture, institutions, and psychology shape one another, and explains what this means for both our most personal sense of who we are as individuals and also the large-scale social, political, and economic forces that drive human history.
The Anthropology + Technology conference brings together pioneering technologists and social scientists from across the globe. Its aim is to facilitate dialogue on emerging technology projects in order to help businesses benefit from more socially-responsible AI.
Research has gradually revealed the extent to which online manipulation has been weaponised to affect societies in almost every important way that society works.
Yet while almost everyone is touched in one way or another by online manipulation, only a tiny part of society has generally been involved in confronting it.
New worlds need new language. TOne of those things to name is what is happening to ourselves and our data proxies. Expanding our language from privacy to personhood enables us to have conversations that enable us to see that our data is us, our data is valuable, and our data is being collected automatically.
Published before global movement drew largely to a halt, before the majority of the earth’s human population was shut indoors and before words like ‘virus’ and ‘pandemic’ proliferated, this curated collection is today far more than timely.
Angèle Christin argues that we can
explicitly enroll algorithms in ethnographic research, which can shed light on unexpected aspects of algorithmic systems—including their opacity. She delineates three mesolevel strategies for algorithmic ethnography.
