H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 69 Citations 19,871 176 World Ranking 882 National Ranking 532

Research.com Recognitions

Awards & Achievements

2020 - ACM Fellow For contributions to design research in human-computer interaction

Overview

What is she best known for?

The fields of study she is best known for:

  • Law
  • Artificial intelligence
  • Social science

Jodi Forlizzi mainly focuses on Human–computer interaction, Robot, Human–robot interaction, Interaction design and Artificial intelligence. Jodi Forlizzi has included themes like Quality, Mediation and Animation in her Human–computer interaction study. Her Human–robot interaction research integrates issues from Object and Variety.

Her Interaction design study combines topics in areas such as User experience design, Experience design, Multimedia and Designtheory. Her work investigates the relationship between User experience design and topics such as Knowledge management that intersect with problems in Personally identifiable information and Action. Her Artificial intelligence research incorporates elements of Machine learning and Computer vision.

Her most cited work include:

  • Research through design as a method for interaction design research in HCI (1019 citations)
  • A stage-based model of personal informatics systems (608 citations)
  • Understanding experience in interactive systems (580 citations)

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

The scientist’s investigation covers issues in Human–computer interaction, Robot, Interaction design, Human–robot interaction and Artificial intelligence. Her primary area of study in Human–computer interaction is in the field of User experience design. Her Robot study incorporates themes from Simulation and Perception.

Her research on Interaction design also deals with topics like

  • Engineering ethics most often made with reference to Research design,
  • Experience design which intersects with area such as Management science. The Human–robot interaction study combines topics in areas such as Field and Communication. She interconnects Computer vision and Action in the investigation of issues within Artificial intelligence.

She most often published in these fields:

  • Human–computer interaction (40.79%)
  • Robot (25.00%)
  • Interaction design (19.30%)

What were the highlights of her more recent work (between 2015-2021)?

  • Work (10.09%)
  • Human–computer interaction (40.79%)
  • Robot (25.00%)

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

Jodi Forlizzi spends much of her time researching Work, Human–computer interaction, Robot, Interaction design and Engineering ethics. Her work carried out in the field of Human–computer interaction brings together such families of science as Data collection, Variety, Multimedia and Perception. Her Robot research is classified as research in Artificial intelligence.

Her study in Artificial intelligence is interdisciplinary in nature, drawing from both Teamwork and Optimal design. Her work deals with themes such as Multidisciplinary approach, Emerging technologies, Best practice, Key and Internet privacy, which intersect with Interaction design. Her User experience design research is multidisciplinary, incorporating elements of Speed dating and Machine learning.

Between 2015 and 2021, her most popular works were:

  • UX Design Innovation: Challenges for Working with Machine Learning as a Design Material (119 citations)
  • "Hey Alexa, What's Up?": A Mixed-Methods Studies of In-Home Conversational Agent Usage (102 citations)
  • Wellbeing in the Making: Peoples’ Experiences with Wearable Activity Trackers (60 citations)

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

  • Law
  • Artificial intelligence
  • Social science

Jodi Forlizzi mainly investigates Human–computer interaction, Robot, Artificial intelligence, Interaction design and Work. Her research in Human–computer interaction intersects with topics in Multimedia, Data collection and Iterative design. Her works in Social robot and Human–robot interaction are all subjects of inquiry into Robot.

Her research integrates issues of Teamwork, Optimal design and Design science in her study of Artificial intelligence. The various areas that Jodi Forlizzi examines in her Interaction design study include Multidisciplinary approach, Key and Wizard of oz. Her studies deal with areas such as Mores and Machine learning as well as User experience design.

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.

Top Publications

Research through design as a method for interaction design research in HCI

John Zimmerman;Jodi Forlizzi;Shelley Evenson.
human factors in computing systems (2007)

1760 Citations

Understanding experience in interactive systems

Jodi Forlizzi;Katja Battarbee.
designing interactive systems (2004)

1256 Citations

A stage-based model of personal informatics systems

Ian Li;Anind Dey;Jodi Forlizzi.
human factors in computing systems (2010)

862 Citations

The building blocks of experience: an early framework for interaction designers

Jodi Forlizzi;Shannon Ford.
designing interactive systems (2000)

713 Citations

All robots are not created equal: the design and perception of humanoid robot heads

Carl F. DiSalvo;Francine Gemperle;Jodi Forlizzi;Sara Kiesler.
designing interactive systems (2002)

583 Citations

Service robots in the domestic environment: a study of the roomba vacuum in the home

Jodi Forlizzi;Carl DiSalvo.
human-robot interaction (2006)

583 Citations

User experience over time: an initial framework

Evangelos Karapanos;John Zimmerman;Jodi Forlizzi;Jean-Bernard Martens.
human factors in computing systems (2009)

581 Citations

An analysis and critique of Research through Design: towards a formalization of a research approach

John Zimmerman;Erik Stolterman;Jodi Forlizzi.
designing interactive systems (2010)

554 Citations

Understanding my data, myself: supporting self-reflection with ubicomp technologies

Ian Li;Anind K. Dey;Jodi Forlizzi.
ubiquitous computing (2011)

434 Citations

Predicting human interruptibility with sensors

James Fogarty;Scott E. Hudson;Christopher G. Atkeson;Daniel Avrahami.
ACM Transactions on Computer-Human Interaction (2005)

433 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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Bilge Mutlu

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Erik Stolterman

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Indiana University

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Carnegie Mellon University

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Wendy Ju

Cornell University

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Anind K. Dey

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Northeastern University

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