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Jodi Forlizzi

Jodi Forlizzi

· Herbert A. Simon Professor in Computer Science and HCII

Carnegie Mellon University · Design

Active 1997–2026

h-index74
Citations21.1k
Papers30952 last 5y
Funding$1.5M1 active

Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.

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About

Jodi Forlizzi is the Herbert A. Simon Professor in Computer Science and Human-Computer Interaction (HCII) at Carnegie Mellon University, where she also holds a courtesy appointment in the School of Design. She serves as the Geschke Director and is responsible for establishing design research as a legitimate and distinct form of research within the field of Human-Computer Interaction (HCI), emphasizing its importance alongside scientific and human science research. Over the past 20 years, Jodi has been a strong advocate for design research, mentoring peers, colleagues, and students in its structure and execution, contributing to its recognition and integration within the CHI community. Her current research interests include designing engaging and effective educational games, developing robots, autonomous vehicles, and other technology services that utilize AI and machine learning to adapt to user needs, and designing for healthcare applications. She is a member of the ACM CHI Academy and has been honored by the Walter Reed Army Medical Center for excellence in human-robot interaction (HRI) design research. Additionally, Jodi has consulted with organizations such as Disney and General Motors to create innovative product-service systems.

Research topics

  • Computer Science
  • Political Science
  • Computer Security
  • Business
  • Public relations
  • Marketing
  • Management
  • Artificial Intelligence
  • Data science
  • Economics

Selected publications

  • An open repository of real-time COVID-19 indicators

    Proceedings of the National Academy of Sciences · 2021 · 71 citations

    The COVID-19 pandemic presented enormous data challenges in the United States. Policy makers, epidemiological modelers, and health researchers all require up-to-date data on the pandemic and relevant public behavior, ideally at fine spatial and temporal resolution. The COVIDcast API is our attempt to fill this need: Operational since April 2020, it provides open access to both traditional public health surveillance signals (cases, deaths, and hospitalizations) and many auxiliary indicators of CO…

  • Social Boundaries for Personal Agents in the Interpersonal Space of the Home

    2020 · 60 citations

    Senior authorCorresponding

    The presence of voice activated personal assistants (VAPAs) in people's homes rises each year [31]. Industry efforts are invested in making interactions with VAPAs more personal by leveraging information from messages and calendars, and by accessing user accounts for 3rd party services. However, the use of personal data becomes more complicated in interpersonal spaces, such as people's homes. Should a shared agent access the information of many users? If it does, how should it navigate issues of…

  • Keeping Designers in the Loop

    2020 · 42 citations

    Artificial intelligence algorithms have been used to enhance a wide variety of products and services, including assisting human decision making in high-stake contexts. However, these algorithms are complex and have trade-offs, notably between prediction accuracy and fairness to population subgroups. This makes it hard for designers to understand algorithms and design products or services in a way that respects users' goals, values, and needs. We proposed a method to help designers and users expl…

  • Designing for Wellbeing: Worker-Generated Ideas on Adapting Algorithmic Management in the Hospitality Industry

    2023 · 31 citations

    Senior authorCorresponding

    Labor shortages have shaped many industries over the past several years, with hospitality experiencing one of the largest rates of attrition. Workers are leaving their jobs for a variety of reasons, ranging from burnout and work intensification to a lack of meaningful employment. While some literature maintains that labor-replacing automation is poised to bridge the shortages, we argue there is an opportunity for technology design to instead improve job quality and retention. Drawing on intervie…

  • Charting the Automation of Hospitality: An Interdisciplinary Literature Review Examining the Evolution of Frontline Service work in the Face of Algorithmic Management

    Proceedings of the ACM on Human-Computer Interaction · 2023 · 25 citations

    Senior authorCorresponding

    Recent investments in automation and AI are reshaping the hospitality sector. Driven by social and economic forces affecting service delivery, these new technologies have transformed the labor that acts as the backbone to the industry-namely frontline service work performed by housekeepers, front desk staff, line cooks and others. We describe the context for recent technological adoption, with particular emphasis on algorithmic management applications. Through this work, we identify gaps in exis…

Recent grants

Frequent coauthors

  • John Zimmerman

    Carnegie Mellon University

    56 shared
  • Scott E. Hudson

    Carnegie Mellon University

    26 shared
  • Siddhartha S Srinivasa

    24 shared
  • Sara Kiesler

    Carnegie Mellon University

    24 shared
  • Francine Gemperle

    24 shared
  • Carl DiSalvo

    Georgia Institute of Technology

    20 shared
  • Aaron Steinfeld

    Carnegie Mellon University

    20 shared
  • Min Kyung Lee

    Dartmouth College

    16 shared

Awards & honors

  • Honored by the Walter Reed Army Medical Center for excellenc…
  • Member of the ACM CHI Academy

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