James Landay

About

James Landay is a Professor of Computer Science and the Anand Rajaraman and Venky Harinarayan Professor in the School of Engineering at Stanford University. He specializes in human-computer interaction and is the co-founder and Co-Director of the Stanford Institute for Human-centered Artificial Intelligence (HAI). Landay has a distinguished academic background, having earned his BS in Electrical Engineering & Computer Science from UC Berkeley in 1990, and his MS and PhD in Computer Science from Carnegie Mellon University in 1993 and 1996, respectively. His PhD dissertation was the first to demonstrate the use of sketching in user interface design tools. Prior to his current role at Stanford, he served as a Professor of Information Science at Cornell Tech in New York City for one year, and as a Professor of Computer Science & Engineering at the University of Washington for ten years. He also served as the Director of Intel Labs Seattle from 2003 to 2006, leading research in ubiquitous computing, and was the chief scientist and co-founder of NetRaker, which was acquired by KeyNote Systems in 2004. Landay's research focuses on human-centered artificial intelligence and human-computer interaction, and he has been recognized as a Fellow of the ACM, a member of the ACM SIGCHI Academy, and a recipient of the ACM SIGCHI Lifetime Research Award. He has also served on the NSF CISE Advisory Committee for six years.

Research topics

• Computer Science
• Political Science
• Psychology
• Sociology
• Human–computer interaction
• Social Science
• Computer Security
• Social psychology
• Data science
• Artificial Intelligence

Selected publications

• Personal identifiability of user tracking data during observation of 360-degree VR video

  Scientific Reports · 2020 · 208 citations

  Virtual reality (VR) is a technology that is gaining traction in the consumer market. With it comes an unprecedented ability to track body motions. These body motions are diagnostic of personal identity, medical conditions, and mental states. Previous work has focused on the identifiability of body motions in idealized situations in which some action is chosen by the study designer. In contrast, our work tests the identifiability of users under typical VR viewing circumstances, with no specially…

  DOI

• Designing Ambient Narrative-Based Interfaces to Reflect and Motivate Physical Activity

  2020 · 68 citations

  Senior authorCorresponding

  Numerous technologies now exist for promoting more active lifestyles. However, while quantitative data representations (e.g., charts, graphs, and statistical reports) typify most health tools, growing evidence suggests such feedback can not only fail to motivate behavior but may also harm self-integrity and fuel negative mindsets about exercise. Our research seeks to devise alternative, more qualitative schemes for encoding personal information. In particular, this paper explores the design of d…

  PublisherOA PDFDOI

• DoThisHere

  2020 · 57 citations

  Senior authorCorresponding

  Many computing tasks, such as comparison shopping, two-factor authentication, and checking movie reviews, require using multiple apps together. On large screens, "windows, icons, menus, pointer" (WIMP) graphical user interfaces (GUIs) support easy sharing of content and context between multiple apps. So, it is straightforward to see the content from one application and write something relevant in another application, such as looking at the map around a place and typing walking instructions into…

  DOI

• An Image of Society

  Proceedings of the ACM on Human-Computer Interaction · 2021 · 48 citations

  Senior authorCorresponding

  Algorithmically-mediated content is both a product and producer of dominant social narratives, and it has the potential to impact users' beliefs and behaviors. We present two studies on the content and impact of gender and racial representation in image search results for common occupations. In Study 1, we compare 2020 workforce gender and racial composition to that reflected in image search. We find evidence of underrepresentation on both dimensions: women are underrepresented in search at a ra…

  DOI

• Leveraging Mobile Technology for Public Health Promotion: A Multidisciplinary Perspective

  Annual Review of Public Health · 2022 · 33 citations

  Health behaviors are inextricably linked to health and well-being, yet issues such as physical inactivity and insufficient sleep remain significant global public health problems. Mobile technology-and the unprecedented scope and quantity of data it generates-has a promising but largely untapped potential to promote health behaviors at the individual and population levels. This perspective article provides multidisciplinary recommendations on the design and use of mobile technology, and the conco…

  PublisherOA PDFDOI

Recent grants

• Interaction Economics: Instruments that Measure Social-Computational Systems

  NSF · $766k · 2011–2016

• Collaborative Research: Mobilizing Information Technology Systems to Motivate Reduced Energy Consumption and Carbon Dioxide Emissions

  NSF · $161k · 2009–2012

Frequent coauthors

• Jason Hong

  Carnegie Mellon University

  35 shared

• Scott R. Klemmer

  University of California, San Diego

  29 shared

• Sunny Consolvo

  23 shared

• Elizabeth L. Murnane

  Dartmouth College

  20 shared

• Jon E. Froehlich

  University of Washington

  17 shared

• James Lin

  15 shared

• Mark Newman

  University of Michigan–Ann Arbor

  15 shared

• Richard Davis

  15 shared

Labs

• James Landay's LabPI

  Not provided

Education

• Ph.D.

  Stanford University

• M.S.

  University of Washington

• B.S.

  University of Washington

Awards & honors

• Fellow, ACM (2016)
• ACM SIGCHI Academy (2011)
• ACM SIGCHI Lifetime Research Award

Similar researchers at Stanford University

• Russell Poldrackh-155
• Vinod Menonh-127
• Russ B. Altmanh-119