H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 35 Citations 9,841 98 World Ranking 5903 National Ranking 2846

Research.com Recognitions

Awards & Achievements

2017 - Fellow of Alfred P. Sloan Foundation

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Social science
  • Mechanical engineering

Human–computer interaction, Multimedia, Real-time computing, Mobile phone and Persuasive technology are his primary areas of study. His work in the fields of Human–computer interaction, such as User experience design, Ubiquitous computing and User interface design, intersects with other areas such as Set. His Multimedia research includes elements of Touchscreen and Audiology.

His Real-time computing research includes themes of Location awareness, Simulation and Global Positioning System. Within one scientific family, Jon E. Froehlich focuses on topics pertaining to Mobile device under Mobile phone, and may sometimes address concerns connected to Robot, Communication design and Calm technology. His work focuses on many connections between Robot and other disciplines, such as Applied psychology, that overlap with his field of interest in Key.

His most cited work include:

  • Activity sensing in the wild: a field trial of ubifit garden (895 citations)
  • The design of eco-feedback technology (591 citations)
  • UbiGreen: investigating a mobile tool for tracking and supporting green transportation habits (460 citations)

What are the main themes of his work throughout his whole career to date?

Jon E. Froehlich mainly focuses on Human–computer interaction, Wearable computer, Multimedia, Artificial intelligence and Work. His study in Human–computer interaction is interdisciplinary in nature, drawing from both Mobile device, Participatory design, Sound and Iterative design. Jon E. Froehlich has included themes like Mobile computing and Mobile phone in his Mobile device study.

His Multimedia study integrates concerns from other disciplines, such as Session and Textile. His study in Artificial intelligence is interdisciplinary in nature, drawing from both Machine learning and Computer vision. He has researched Ubiquitous computing in several fields, including Field and Real-time computing.

He most often published in these fields:

  • Human–computer interaction (30.65%)
  • Wearable computer (19.35%)
  • Multimedia (17.74%)

What were the highlights of his more recent work (between 2018-2021)?

  • Human–computer interaction (30.65%)
  • Sound (6.45%)
  • Public relations (3.23%)

In recent papers he was focusing on the following fields of study:

Jon E. Froehlich mainly investigates Human–computer interaction, Sound, Public relations, Software deployment and Diversity. His Human–computer interaction study combines topics from a wide range of disciplines, such as Deep learning, Artificial intelligence and Communication design. The concepts of his Artificial intelligence study are interwoven with issues in Identity and Sound localization.

Jon E. Froehlich combines subjects such as Loudness, Smartwatch, Wearable computer and Haptic technology with his study of Sound. Jon E. Froehlich interconnects Web application, World Wide Web, Multimedia and Leverage in the investigation of issues within Software deployment. The study incorporates disciplines such as Ubiquitous computing and Residential energy in addition to Field.

Between 2018 and 2021, his most popular works were:

  • Project Sidewalk: A Web-based Crowdsourcing Tool for Collecting Sidewalk Accessibility Data At Scale (26 citations)
  • Deaf and Hard-of-hearing Individuals' Preferences for Wearable and Mobile Sound Awareness Technologies (15 citations)
  • Grand challenges in accessible maps (15 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Mechanical engineering
  • Social science

His primary scientific interests are in Sound, Human–computer interaction, Applied psychology, Software deployment and Perception. His research ties Home automation and Sound together. He has included themes like Loudness, Echo, Microphone, Smartwatch and Haptic technology in his Human–computer interaction study.

His Applied psychology study incorporates themes from Autoethnography and Field. His Software deployment research is multidisciplinary, relying on both Quality, Scalability, Crowdsourcing and Game design. There are a combination of areas like Social environment, Wearable computer, Affect, General interest and Qualitative research integrated together with his Perception study.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Activity sensing in the wild: a field trial of ubifit garden

Sunny Consolvo;David W. McDonald;Tammy Toscos;Mike Y. Chen.
human factors in computing systems (2008)

1304 Citations

The design of eco-feedback technology

Jon Froehlich;Leah Findlater;James Landay.
human factors in computing systems (2010)

868 Citations

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

Jon Froehlich;Tawanna Dillahunt;Predrag Klasnja;Jennifer Mankoff.
human factors in computing systems (2009)

697 Citations

MyExperience: a system for in situ tracing and capturing of user feedback on mobile phones

Jon Froehlich;Mike Y. Chen;Sunny Consolvo;Beverly Harrison.
international conference on mobile systems, applications, and services (2007)

653 Citations

Flowers or a robot army?: encouraging awareness & activity with personal, mobile displays

Sunny Consolvo;Predrag Klasnja;David W. McDonald;Daniel Avrahami.
ubiquitous computing (2008)

474 Citations

Sensing and predicting the pulse of the city through shared bicycling

Jon Froehlich;Joachim Neumann;Nuria Oliver.
international joint conference on artificial intelligence (2009)

378 Citations

Disaggregated End-Use Energy Sensing for the Smart Grid

J Froehlich;E Larson;S Gupta;G Cohn.
IEEE Pervasive Computing (2011)

378 Citations

Ability-Based Design: Concept, Principles and Examples

Jacob O. Wobbrock;Shaun K. Kane;Krzysztof Z. Gajos;Susumu Harada.
ACM Transactions on Accessible Computing (2011)

368 Citations

Route Prediction from Trip Observations

Jon Froehlich;John Krumm.
SAE World Congress & Exhibition (2008)

301 Citations

Mind the theoretical gap: interpreting, using, and developing behavioral theory in HCI research

Eric B. Hekler;Predrag Klasnja;Jon E. Froehlich;Matthew P. Buman.
human factors in computing systems (2013)

269 Citations

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Best Scientists Citing Jon E. Froehlich

Shwetak N. Patel

Shwetak N. Patel

University of Washington

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Julie A. Kientz

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Jacob O. Wobbrock

University of Washington

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Tanzeem Choudhury

Cornell University

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James Fogarty

James Fogarty

University of Washington

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Anind K. Dey

Anind K. Dey

University of Washington

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Manfred Tscheligi

Manfred Tscheligi

University of Salzburg

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Jesper Kjeldskov

Jesper Kjeldskov

Aalborg University

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James A. Landay

James A. Landay

Stanford University

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Geraldine Fitzpatrick

Geraldine Fitzpatrick

TU Wien

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Sunny Consolvo

Sunny Consolvo

Google (United States)

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Daqing Zhang

Daqing Zhang

Télécom SudParis

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Nicholas D. Lane

Nicholas D. Lane

University of Cambridge

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Mark W. Newman

Mark W. Newman

University of Michigan–Ann Arbor

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Jennifer Mankoff

Jennifer Mankoff

University of Washington

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