D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 32 Citations 6,622 106 World Ranking 7374 National Ranking 3515

Overview

What is she best known for?

The fields of study she is best known for:

  • Artificial intelligence
  • Human–computer interaction
  • Machine learning

Leah Findlater mainly investigates Human–computer interaction, Multimedia, Touchscreen, Typing and Set. Her study ties her expertise on Personalization together with the subject of Human–computer interaction. Her Personalization study combines topics from a wide range of disciplines, such as Interface design, Control, 10-foot user interface, Natural user interface and Subject.

Her studies deal with areas such as User interface design, Mobile device and Adaptation as well as Multimedia. Her research in the fields of Computer user satisfaction overlaps with other disciplines such as Graphical user interface and Display size. Her Set research incorporates elements of Learnability and Gesture.

Her most cited work include:

  • The aligned rank transform for nonparametric factorial analyses using only anova procedures (751 citations)
  • The design of eco-feedback technology (591 citations)
  • A comparison of static, adaptive, and adaptable menus (234 citations)

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

Her primary areas of study are Human–computer interaction, Multimedia, Touchscreen, Artificial intelligence and Computer vision. Her work carried out in the field of Human–computer interaction brings together such families of science as Control, Mobile device, Set and Personalization. Her biological study spans a wide range of topics, including User interface design, Usability and Adaptation.

Her Touchscreen research incorporates themes from Audiology, Typing and Gesture. Her work on Gesture recognition as part of general Gesture study is frequently linked to Blindness, therefore connecting diverse disciplines of science. Her Artificial intelligence study integrates concerns from other disciplines, such as Machine learning and Natural language processing.

She most often published in these fields:

  • Human–computer interaction (44.19%)
  • Multimedia (24.81%)
  • Touchscreen (17.83%)

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

  • Human–computer interaction (44.19%)
  • Artificial intelligence (17.05%)
  • Smartwatch (6.20%)

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

Human–computer interaction, Artificial intelligence, Smartwatch, Diversity and Haptic technology are her primary areas of study. In her study, Distraction is inextricably linked to Loudness, which falls within the broad field of Human–computer interaction. When carried out as part of a general Artificial intelligence research project, her work on Word, Deep learning and Sentence is frequently linked to work in Representation, therefore connecting diverse disciplines of study.

Her research integrates issues of Active learning and Coherence in her study of Word. Her Natural language processing study incorporates themes from Semantics, Embedding and Salience. Her work on Citation analysis as part of general Citation study is frequently linked to Social science, bridging the gap between disciplines.

Between 2018 and 2021, her most popular works were:

  • "Phantom Friend" or "Just a Box with Information": Personification and Ontological Categorization of Smart Speaker-based Voice Assistants by Older Adults (18 citations)
  • No Explainability without Accountability: An Empirical Study of Explanations and Feedback in Interactive ML (16 citations)
  • Deaf and Hard-of-hearing Individuals' Preferences for Wearable and Mobile Sound Awareness Technologies (15 citations)

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

  • Artificial intelligence
  • Machine learning
  • Human–computer interaction

Leah Findlater mostly deals with Smartwatch, Human–computer interaction, Applied psychology, Voice search and Cognitive load. Her Smartwatch study spans across into subjects like Affect, Haptic technology, Social environment, Strengths and weaknesses and Bridging. Her studies link Visual feedback with Human–computer interaction.

Applied psychology overlaps with fields such as Field, Autoethnography, Post hoc, Lived experience and Home automation in her research. Her Voice search study frequently involves adjacent topics like Usability. Qualitative research, General interest, Activity tracking, Diversity and Visual impairment are fields of study that overlap with her Cognitive load research.

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

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

Jacob O. Wobbrock;Leah Findlater;Darren Gergle;James J. Higgins.
human factors in computing systems (2011)

1077 Citations

The design of eco-feedback technology

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

868 Citations

A comparison of static, adaptive, and adaptable menus

Leah Findlater;Joanna McGrenere.
human factors in computing systems (2004)

388 Citations

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

Leah Findlater;Ben Lee;Jacob Wobbrock.
human factors in computing systems (2012)

271 Citations

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

Alisha Pradhan;Kanika Mehta;Leah Findlater.
human factors in computing systems (2018)

225 Citations

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

Mayank Goel;Leah Findlater;Jacob Wobbrock.
human factors in computing systems (2012)

206 Citations

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

Jon Froehlich;Leah Findlater;Marilyn Ostergren;Solai Ramanathan.
human factors in computing systems (2012)

195 Citations

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

Leah Findlater;Jon E. Froehlich;Kays Fattal;Jacob O. Wobbrock.
human factors in computing systems (2013)

176 Citations

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

Leah Findlater;Joanna McGrenere.
human factors in computing systems (2008)

172 Citations

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

Hanlu Ye;Meethu Malu;Uran Oh;Leah Findlater.
human factors in computing systems (2014)

154 Citations

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Best Scientists Citing Leah Findlater

Jacob O. Wobbrock

Jacob O. Wobbrock

University of Washington

Publications: 55

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Wolfgang Stuerzlinger

Simon Fraser University

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Thomas R. Gruber

Apple (United States)

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Carl Gutwin

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Andy Cockburn

Andy Cockburn

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Shwetak N. Patel

Shwetak N. Patel

University of Washington

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Niels Henze

University of Regensburg

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Meredith Ringel Morris

Meredith Ringel Morris

Google (United States)

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Jean Vanderdonckt

Jean Vanderdonckt

Université Catholique de Louvain

Publications: 19

Stephen Brewster

Stephen Brewster

University of Glasgow

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Jerome R. Bellegarda

Jerome R. Bellegarda

Apple (United States)

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Jennifer Mankoff

Jennifer Mankoff

University of Washington

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Shumin Zhai

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James Fogarty

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Per Ola Kristensson

Per Ola Kristensson

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Jesper Kjeldskov

Aalborg University

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