EPIC2019 Panel, Providence, Rhode Island
DAWN NAFUS, Senior Researcher, Intel Labs
MELISSA CEFKIN, Principal Researcher, Alliance Innovation Lab Silicon Valley
MICHAEL LITTMAN, Professor of Computer Science & Co-Director of the Humanity Centered Robotics Initiative, Brown University
CLAPPERTON CHAKANETSA MAVHUNGA, Associate Professor of Science, Technology, and Society, MIT
HELI RANTAVUO, Senior Insights Manager, Growth Opportunities Mission, Markets Business Unit, Spotify
Robotics, machine learning, and other technologies are provoking new hopes and fears about human agency. Tropes of the charismatic lone innovator, whether hero or villain, are also starting to lose popular currency. When we acknowledge that the agents of the built world are not just people who call themselves “innovators” but are made up of many kinds of people, and physical materials, new questions arise. How do issues of responsibility, accountability, attribution, and even regulation get solved in situations of distributed...
EPIC2019 Panel, Providence, Rhode Island
DONNA LANCLOS, Anodyne Anthropology LLC
AUTUMN SANDERS FOSTER, Founder, Quire Consulting
AMBER HAMPTON GREENE, Experience Research & Service Design, Cityblock Health
JORDAN KRAEMER, Research Associate, Implosion Labs, LLC
RUCHIKA MUCHHALA, Consultant/Filmmaker, Third Kulture Media
Ethnographers take pride in representing people’s voices with fidelity, empathy, and deep contextual understanding. But our work can end up reinforcing a distinction between people who “have experience” that we study for insights and people who “have expertise” to use, shape, and monetize that experience. We’ll tackle a range of core questions:
As organizations increasingly value representations of “user” or “customer” experience, what responsibilities come with this role? To what extent are we confronting the ways that the anthropologist on the project gets used to distancing people from their own expertise about their everyday lives? When we present...
EPIC2019 Panel, Providence, Rhode Island
KEN ANDERSON, Principal Researcher, Intel Corporation
LIZ KENESKI, Head of Privacy Research, Facebook Inc.
PETER LEVIN, Principal Researcher, Autodesk
ELENA O’CURRY, Senior User Researcher, Uber
JEFF SOKOLOV, Designer & Researcher, IBM Watson Health
Algorithmic systems are increasingly integrated into the physical and digital infrastructures of our lives. The borders of privacy are being pushed and redefined, provoking new debate about what privacy is. All corporations claim privacy is important, but what does that mean? Panelists will consider what privacy might look like or mean when individuals are tied into multiple networks, both human and AI.
KEN ANDERSON, panel chair, is an anthropologist, who is a Principal Engineer in Next Generation Standards at Intel Corporation. He does pathfinding at the intersection of technology, strategy, and the human experience to drive towards creating technology that enables us to have richer relationships,...
by PATRICIA G. LANGE, California College of the Arts
Once upon a time, a video-sharing site called YouTube was born. It greatly helped non-professional creators to post videos to the web. The platform initially broadcast diverse voices and eventually became a major competitor in the online video streaming space. The story of YouTube often begins and ends with the assumption that it achieved its destiny—that the YouTube we have now is the only YouTube that was ever possible. It feels inevitable that an up-and-coming video sharing site would commercialize.
This common story of technological development and commercialization masks multiple desires that YouTubers envisioned for expressing the self and accomplishing society. Ultimately, it reduces our ability to imagine new frameworks for facilitating interaction with video. But there are alternative narratives. Other stories—particularly those told from users’ perspectives—matter because they help us understand how complex technical systems may be shaped to better serve...
by RAYMOND JUNE, Workday
Most of us struggle with managing our time while feeling perpetually swamped with work. White-collar professionals, myself included, have often turned like supplicants to time management tools ranging from self-help books to productivity software to maximize efficiency in less time. Confession: I once purchased a paper pocket guide to improving time management when feeling anxious about workplace performance pressures before the start of a new job. Despite its familiar and well-worn exhortations – set goals, track your time, create to-do lists, manage emails, develop routines, delegate – I clung to the belief that this manual among the surfeit of how-to texts and apps out there would be the one to help boost my productivity. My preemptive attempt at mastering time to reach peak personal performance raises a key question about today’s productivity-obsessed work culture: What, really, is the larger goal of work when the search for time-saving measures in the pursuit of productivity is its given ethos and...
by SARA BELT, Spotify
Instead of asking how we can further speed up research itself, the question becomes how we can better integrate research into the product development practice and speed up organizations’ ability to learn and iterate overall.
For many years, insights was seen as peripheral to product development because of the perception that user research had low validity. I spent the first part of my career advocating for why teams should systematically listen to the people using their products, why anyone should trust qualitative insight to guide their decisions, and why research is a field of practice that requires specialized skills.
Debates about validity have diminished as the research practice has gradually proven its ability to contribute value. Approaching product making from the perspective of data, evidence, and empathy is pretty much a given these days. In companies such as Spotify, the pendulum has swung the other way, where growth in demand for research has pushed us to scale the practice. New, more substantive...
by DONNA LANCLOS, Anodyne Anthropology
Donna is chairing the EPIC2019 panel "Representation & Representative-ness" on Monday, Nov 11, 11–12:00 in Providence, Rhode Island.
EPIC2019 is around the corner and I’m excited to share the panel I have been invited to facilitate this year with a fantastic group of ethnographers:
We will be tackling the ever-relevant theme of “representation”, a topic with a long legacy in ethnography and anthropology. Actually, I feel like the panel already started in the terrific discussions we had to develop our abstract, so I want to share some of that thinking here to inspire you to join the conversation in Providence!
Our abstract begins: Ethnographers take pride in representing people’s voices with fidelity, empathy, and deep contextual understanding. But our work can end up reinforcing a distinction between people who “have experience” that we study for insights and people who “have expertise” to use, shape, and monetize that experience.
by STUART HENSHALL, Convo
Some time ago I watched an older Indian woman using Google Assistant to access recipes. She expressed how thrilled she was: her family would be eating new meals and they would appreciate her more. As I looked more closely, it was obvious the cooking instruction video (in Hindi) contained no text. (Makes sense, she doesn’t need it.)
There are probably millions of recipes like this, many of them not professionally produced. In time, this woman herself may even become a creator of recipes and videos, despite not being able to write. She bypasses text for entertainment and learning, bringing her great joy and a new sense of independence. This is a significant change: previously, sharing recipes across time and space required writing, and less literate users avoided doing anything much more with their phones than calling. Now, voice and video technology is catalyzing new forms of engagement with a wider world.
More recently, I was watching a group of TikTok creators talk about TikTok, a social media video...
by ELEANOR BARTOSH and CHRIS HAMMOND, IBM
IBM is big. We have around 350,000 employees including 20,000 design and user experience professionals, and only a fraction of them are experienced design researchers. Many of you reading this also work in or with large enterprise organizations and, as you know, at that scale it can be easy to get lost. At times, you might feel your research is undervalued and that you, as a researcher, are marginalized. We've been there, too, so we've identified some strategies that help to both address these issues and grow understanding at scale.
Crucially, we believe that the whole cross-functional team, not just the researcher, bares equal responsibility for advancing an understanding of the people the organization serves—more colloquially users, customers, constituents, and communities.
At this point, you may be thinking, "But wait...I'm not sure I trust my peers to not ask leading questions. I'm not sure they'll pick the right methods, identify the right participants, or analyze the data without...
by ERIN B. TAYLOR, Canela Consulting & European Women Payments Network
At EthnoBorrel, an ethnography meet-up that I co-run in the Netherlands, we talk about the issues ethnographers face in their applied practice. One term in particular keeps cropping up: impostor syndrome.
The people who attend our meetups are highly educated, capable practitioners who apply their ethnographic skills as service designers, UXers, product owners, HR managers, researchers, technologists, and more. They have cracked the job market and are using their ethnographic skills in their daily practice.
Yet many continue to struggle with feelings of being an impostor. Imposter syndrome is a multidimensional experience that can be rooted in sexism, racism, class, and many kinds of professional hierarchies and power dynamics. I want to focus on a different type of imposter experience specific to ethnographers.
Often we work in places where we are the only ethnographer, or one of very few. More often, ‘ethnographer’ isn’t in our job titles,...
by MINNA RUCKENSTEIN, University of Helsinki
It is easy to become pessimistic, if not dystopic, about tracking technologies. The current digital services landscape promotes scoring, selecting and sorting of people for the purposes of maximizing profit. Machine logics rely on profiling characteristics and predicting actions, and management by algorithms appears to be disproportionately affecting those with temporary and low-income jobs. Tracking technologies become complicit in deepening and accelerating social divisions and inequalities. The most vulnerable in societies have no say in how their actions are monitored and lives are harmed by algorithmically produced metrics.
In this context, Quantified Self (QS) – an international community of ‘self-trackers’ that shares insights gained through self-quantification and data analysis – seems rarified, an example of the privileged techno-elite positioned to use tracking data to pursue their own values and goals. With this limitation, QS hardly appears to be a useful prism...