2020 - ACM Fellow For contributions to design research in human-computer interaction
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.
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
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.
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.
Research through design as a method for interaction design research in HCI
John Zimmerman;Jodi Forlizzi;Shelley Evenson.
human factors in computing systems (2007)
Understanding experience in interactive systems
Jodi Forlizzi;Katja Battarbee.
designing interactive systems (2004)
A stage-based model of personal informatics systems
Ian Li;Anind Dey;Jodi Forlizzi.
human factors in computing systems (2010)
The building blocks of experience: an early framework for interaction designers
Jodi Forlizzi;Shannon Ford.
designing interactive systems (2000)
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)
Service robots in the domestic environment: a study of the roomba vacuum in the home
Jodi Forlizzi;Carl DiSalvo.
human-robot interaction (2006)
User experience over time: an initial framework
Evangelos Karapanos;John Zimmerman;Jodi Forlizzi;Jean-Bernard Martens.
human factors in computing systems (2009)
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)
Understanding my data, myself: supporting self-reflection with ubicomp technologies
Ian Li;Anind K. Dey;Jodi Forlizzi.
ubiquitous computing (2011)
Predicting human interruptibility with sensors
James Fogarty;Scott E. Hudson;Christopher G. Atkeson;Daniel Avrahami.
ACM Transactions on Computer-Human Interaction (2005)
Profile was last updated on December 6th, 2021.
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