UX and Ethnography research - NAVER LABS Europe

UX AND ETHNOGRAPHY

We study people and their contexts to propose future products and services that leverage the latest AI and robotics technologies.
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Advances in AI and robotic technologies have allowed us to start moving robots from controlled industrial environments to public spaces and our daily lives. They have the potential to improve our quality of life, taking over new cognitive and physical tasks. However, creating autonomous agents to coexist and interact with non-expert users in uncontrolled environments presents a series of challenges that remain to be explored.

We study people and their contexts to propose future products and services that leverage the latest AI and robotics technologies. We currently focus on designing robots that can adapt and successfully coexist and collaborate with people to support and enhance their daily activities.

Our team is an interdisciplinary mix of experts, including ethnographers with a strong ethnomethodological orientation, HCI/HRI researchers, UX researchers and designers, and computer scientists. We contribute to the development of NAVER LABS’ innovative products and services while actively participating in the scientific community.

Learn more about our work on Medium.

Recent publications

Turning everyday objects into robots for better human-robot collaboration

Shreepriya Shreepriya, Jutta Willamowski, Cécile Boulard
Human-Machine Partnerships in the Future of Work workshop. Workshop online in conjunction with ACM conference on Computer-Supported Cooperative Work and Social Computing (CSCW), 23 October, 2021.

Food delivery eco-system: when platforms get enterprises and gig-workers to implicitly cooperate

Clara Tuco, Cécile Boulard, Romane Calleau, Shreepriya Shreepriya,
24th ACM Conference on Computer-Supported Cooperative Work & Social Computing (CSCW), virtual event, 23 – 27 October, 2021

Ethical design of a robot platform for disabled employees: some practical methodological considerations

Tommaso Colombino, Danilo Gallo, Shreepriya, Yesook Im, Seijin Cha
Front. Robot. AI, 19 August 2021 | https://doi.org/10.3389/frobt.2021.643160

Restaurant menu understanding: illustrating the need for culturally augmented translation

Danilo Gallo, Jutta Willamowski, Yada Wisatekaew, Adrien Bruyat, Antonietta Grasso
22nd International Conference on Human-Computer Interaction with Mobile Devices and Services (Mobile HCI 2020), 5-8 October, 2020

Designing Ambient Wanderer: Mobile Recommendations for Urban Exploration

Sruthi ViswanathanBernard Omidvar-TehraniAdrien Bruyat, Frédéric Roulland, Antonietta Grasso
ACM conference on Designing Interactive Systems (DIS), Eindhoven, Netherlands, 6-11 July, 2020

What is Natural? Challenges and Opportunities for Conversational Recommender Systems

Sruthi ViswanathanFabien GuillotAntonietta Grasso
International Conference on Conversational User Interfaces (CUI) 2020 (online event), 22-24 July, 2020

RunAhead: Exploring Head Scanning based Navigation for Runners

Danilo GalloShreepriya ShreepriyaJutta Willamowski
Computer Human Interaction conference (CHI), Honolulu, Hawaii, USA, 25 April-1 May, 2020

The Impact of Organizational Properties on the Design of Robotic Support for Employees with Disabilities

Danilo GalloShreepriya ShreepriyaTommaso Colombino
ACM/IEEE International Conference on Human-Robot Interaction (HRI) 2020 (virtual event), Pages 166–168, Cambridge, UK

Recent Blog articles

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Running into the unknown with RunAhead

As outdoor sport enthusiasts and scientists, we asked ourselves the question: How can we help runners find pleasant itineraries that match their personal preferences, and then smoothly guide them along these routes?

Ambient Wanderer image

Ambient Wanderer: mobile technology design to help explore new cities

With Ambient Wanderer, we aim to inform the design of systems that can meet the requirements of on-the-go users looking to discover relevant points of interest, and to demonstrate the benefits of using a hybrid Wizard of Oz approach to investigate POI recommender systems.

Blog article by

UX and Ethnography team

Approved
Cécile Boulard
Approved
Adrien Bruyat
Approved
Danilo Gallo
Team Lead
Approved
Kanika Tuteja
PhD candidate

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