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Computer Science

D-Index
66
Citations
13046
World Ranking
2366
National Ranking
1177

Research.com Recognitions

  • 2007 - Fellow of Alfred P. Sloan Foundation

Overview

Jennifer Mankoff is affiliated with the University of Washington in the United States. Their research primarily spans the field of psychology, with a focus on subfields including Experimental and Cognitive Psychology, Applied Psychology, Clinical Psychology, Human-Computer Interaction, and General Health Professions.

Their work addresses multiple topics related to mental health and technology, notably:

  • Mental Health Research Topics
  • Digital Mental Health Interventions
  • COVID-19 and Mental Health
  • Assistive Technology in Communication and Mobility
  • Digital Accessibility for Disabilities
  • Innovative Human-Technology Interaction
  • Impact of Technology on Adolescents

Recent publications by Jennifer Mankoff include:

  • Detecting Depression and Predicting its Onset Using Longitudinal Symptoms Captured by Passive Sensing, 2021, ACM Transactions on Computer-Human Interaction
  • Anticipate and Adjust: Cultivating Access in Human-Centered Methods, 2022, CHI Conference on Human Factors in Computing Systems
  • GLOBEM, 2022, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
  • Leveraging Collaborative-Filtering for Personalized Behavior Modeling, 2021, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
  • How Does COVID-19 impact Students with Disabilities/Health Concerns?, 2020, arXiv (Cornell University)

Jennifer Mankoff frequently collaborates with other researchers, including:

  • Anind K. Dey
  • Yasaman S. Sefidgar
  • Paula S. Nurius
  • Afsaneh Doryab
  • Michael Tumminia

Their work has been published across several venues, with recurring contributions to:

  • arXiv (Cornell University)
  • ACM Transactions on Computer-Human Interaction
  • ACM Transactions on Accessible Computing
  • CHI Conference on Human Factors in Computing Systems
  • Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies

In recognition of their academic contributions, Jennifer Mankoff was awarded the title of Fellow of the Alfred P. Sloan Foundation in 2007.

Best Publications

  • Heuristic evaluation of ambient displays

    Jennifer Mankoff;Anind K. Dey;Gary Hsieh;Julie Kientz

  • UbiGreen: investigating a mobile tool for tracking and supporting green transportation habits

    Jon Froehlich;Tawanna Dillahunt;Predrag Klasnja;Jennifer Mankoff

  • When participants do the capturing: the role of media in diary studies

    Scott Carter;Jennifer Mankoff

  • Who wants to know what when? privacy preference determinants in ubiquitous computing

    Scott Lederer;Jennifer Mankoff;Anind K. Dey

  • Disability studies as a source of critical inquiry for the field of assistive technology

    Jennifer Mankoff;Gillian R. Hayes;Devva Kasnitz

  • Is your web page accessible?: a comparative study of methods for assessing web page accessibility for the blind

    Jennifer Mankoff;Holly Fait;Tu Tran

  • A toolkit for managing user attention in peripheral displays

    Tara Matthews;Anind K. Dey;Jennifer Mankoff;Scott Carter

  • Cirrin: a word-level unistroke keyboard for pen input

    Jennifer Mankoff;Gregory D. Abowd

  • Leveraging Social Networks To Motivate Individuals to Reduce their Ecological Footprints

    J. Mankoff;D. Matthews;S.R. Fussell;M. Johnson

  • Environmental sustainability and interaction

    Jennifer C. Mankoff;Eli Blevis;Alan Borning;Batya Friedman

  • Designing mediation for context-aware applications

    Anind K. Dey;Jennifer Mankoff

  • Interaction techniques for ambiguity resolution in recognition-based interfaces

    Jennifer Mankoff;Scott E. Hudson;Gregory D. Abowd

  • Sensr: evaluating a flexible framework for authoring mobile data-collection tools for citizen science

    Sunyoung Kim;Jennifer Mankoff;Eric Paulos

  • Identifying Behavioral Phenotypes of Loneliness and Social Isolation with Passive Sensing: Statistical Analysis, Data Mining and Machine Learning of Smartphone and Fitbit Data.

    Afsaneh Doryab;Daniella K Villalba;Prerna Chikersal;Janine M Dutcher

  • A compiler for 3D machine knitting

    James McCann;Lea Albaugh;Vidya Narayanan;April Grow

  • Distributed mediation of ambiguous context in aware environments

    Anind Dey;Jennifer Mankoff;Gregory Abowd;Scott Carter

  • Providing integrated toolkit-level support for ambiguity in recognition-based interfaces

    Jennifer Mankoff;Scott E. Hudson;Gregory D. Abowd

  • Living Disability Theory: Reflections on Access, Research, and Design

    Megan Hofmann;Devva Kasnitz;Jennifer Mankoff;Cynthia L Bennett

  • Modeling and Understanding Human Routine Behavior

    Nikola Banovic;Tofi Buzali;Fanny Chevalier;Jennifer Mankoff

  • Stretching the Bounds of 3D Printing with Embedded Textiles

    Michael L. Rivera;Melissa Moukperian;Daniel Ashbrook;Jennifer Mankoff

  • Momento: support for situated ubicomp experimentation

    Scott Carter;Jennifer Mankoff;Jeffrey Heer

  • It's not all about "Green": energy use in low-income communities

    Tawanna Dillahunt;Jennifer Mankoff;Eric Paulos;Susan Fussell

Frequent Co-Authors

Scott E. Hudson
Scott E. Hudson Carnegie Mellon University
Anind K. Dey
Anind K. Dey University of Washington
Gregory D. Abowd
Gregory D. Abowd Northeastern University
Amy Hurst
Amy Hurst New York University
James A. Landay
James A. Landay Stanford University
Chris Harrison
Chris Harrison Carnegie Mellon University
Susan R. Fussell
Susan R. Fussell Cornell University
Stephen E. Fienberg
Stephen E. Fienberg Carnegie Mellon University
Sara Kiesler
Sara Kiesler Carnegie Mellon University
Alanson P. Sample
Alanson P. Sample University of Michigan–Ann Arbor

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