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Computer Science

D-Index
50
Citations
12281
World Ranking
5544
National Ranking
2534

Overview

Leah Findlater is affiliated with the University of Washington in the United States. Their research primarily falls within the field of Computer Science, with a significant focus on several subfields including Artificial Intelligence, Cognitive Neuroscience, Signal Processing, Human Factors and Ergonomics, and Human-Computer Interaction.

The main topics of their work span tactile and sensory interactions, digital accessibility for disabilities, speech and audio processing, speech and dialogue systems, speech recognition and synthesis, voice and speech disorders, and music and audio processing.

Leah Findlater's publication record includes papers in multiple venues, with frequent publications in:

  • arXiv (Cornell University)
  • CHI Conference on Human Factors in Computing Systems
  • Proceedings of the ACM on Human-Computer Interaction
  • ACM Transactions on Accessible Computing
  • ACM Transactions on Computer-Human Interaction

Some recent papers authored by Findlater include:

  • What Do We Mean by "Accessibility Research"? A Literature Survey of Accessibility Papers in CHI and ASSETS from 1994 to 2019, 2021, arXiv (Cornell University)
  • Use of Intelligent Voice Assistants by Older Adults with Low Technology Use, 2020, ACM Transactions on Computer-Human Interaction
  • ProtoSound: A Personalized and Scalable Sound Recognition System for Deaf and Hard-of-Hearing Users, 2022, CHI Conference on Human Factors in Computing Systems
  • Social Media through Voice, 2021, Proceedings of the ACM on Human-Computer Interaction
  • Toward User-Driven Sound Recognizer Personalization with People Who Are d/Deaf or Hard of Hearing, 2021, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies

Findlater has collaborated frequently with several coauthors, including:

  • Dhruv Jain
  • Jon E. Froehlich
  • Abigale Stangl
  • Jeffrey P. Bigham
  • Steven M. Goodman

Their interdisciplinary work links technology with accessibility and sensory processing, exploring how voice, sound recognition, and assistive technologies can support users with diverse needs.

Best Publications

  • The aligned rank transform for nonparametric factorial analyses using only anova procedures

    Jacob O. Wobbrock;Leah Findlater;Darren Gergle;James J. Higgins

  • The design of eco-feedback technology

    Jon Froehlich;Leah Findlater;James Landay

  • How are Java software developers using the Elipse IDE

    G.C. Murphy;M. Kersten;L. Findlater

  • "Accessibility Came by Accident": Use of Voice-Controlled Intelligent Personal Assistants by People with Disabilities

    Alisha Pradhan;Kanika Mehta;Leah Findlater

  • A comparison of static, adaptive, and adaptable menus

    Leah Findlater;Joanna McGrenere

  • What Do We Mean by “Accessibility Research”?: A Literature Survey of Accessibility Papers in CHI and ASSETS from 1994 to 2019

    Kelly Mack;Emma McDonnell;Dhruv Jain;Lucy Lu Wang

  • WalkType: using accelerometer data to accomodate situational impairments in mobile touch screen text entry

    Mayank Goel;Leah Findlater;Jacob Wobbrock

  • Use of Intelligent Voice Assistants by Older Adults with Low Technology Use

    Alisha Pradhan;Amanda Lazar;Leah Findlater

  • Analyzing user-generated youtube videos to understand touchscreen use by people with motor impairments

    Lisa Anthony;YooJin Kim;Leah Findlater

  • The design and evaluation of prototype eco-feedback displays for fixture-level water usage data

    Jon Froehlich;Leah Findlater;Marilyn Ostergren;Solai Ramanathan

  • Age-related differences in performance with touchscreens compared to traditional mouse input

    Leah Findlater;Jon E. Froehlich;Kays Fattal;Jacob O. Wobbrock

  • "Phantom Friend" or "Just a Box with Information": Personification and Ontological Categorization of Smart Speaker-based Voice Assistants by Older Adults

    Alisha Pradhan;Leah Findlater;Amanda Lazar

  • Beyond QWERTY: augmenting touch screen keyboards with multi-touch gestures for non-alphanumeric input

    Leah Findlater;Ben Lee;Jacob Wobbrock

  • Impact of screen size on performance, awareness, and user satisfaction with adaptive graphical user interfaces

    Leah Findlater;Joanna McGrenere

  • Current and future mobile and wearable device use by people with visual impairments

    Hanlu Ye;Meethu Malu;Uran Oh;Leah Findlater

  • Typing on flat glass: examining ten-finger expert typing patterns on touch surfaces

    Leah Findlater;Jacob O. Wobbrock;Daniel Wigdor

  • Ephemeral adaptation: the use of gradual onset to improve menu selection performance

    Leah Findlater;Karyn Moffatt;Joanna McGrenere;Jessica Dawson

  • The AT Effect: How Disability Affects the Perceived Social Acceptability of Head-Mounted Display Use

    Halley Profita;Reem Albaghli;Leah Findlater;Paul Jaeger

  • Improving community health worker performance through automated SMS

    Brian DeRenzi;Leah Findlater;Jonathan Payne;Benjamin Birnbaum

  • Personalized input: improving ten-finger touchscreen typing through automatic adaptation

    Leah Findlater;Jacob Wobbrock

  • No Explainability without Accountability: An Empirical Study of Explanations and Feedback in Interactive ML

    Alison Smith-Renner;Ron Fan;Melissa Birchfield;Tongshuang Wu

Frequent Co-Authors

Jon E. Froehlich
Jon E. Froehlich University of Washington
Jacob O. Wobbrock
Jacob O. Wobbrock University of Washington
Jordan Boyd-Graber
Jordan Boyd-Graber University of Maryland, College Park
Joanna McGrenere
Joanna McGrenere University of British Columbia
Meredith Ringel Morris
Meredith Ringel Morris Google (United States)
Amy Hurst
Amy Hurst New York University
Rama Chellappa
Rama Chellappa Johns Hopkins University
Shaun K. Kane
Shaun K. Kane Google (United States)
Krzysztof Z. Gajos
Krzysztof Z. Gajos Harvard University
Benjamin Van Durme
Benjamin Van Durme Johns Hopkins University

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