What is she best known for?
The fields of study she is best known for:
- Artificial intelligence
- The Internet
- Human–computer interaction
Jennifer Mankoff mostly deals with Human–computer interaction, Ubiquitous computing, World Wide Web, Knowledge management and Ambiguity.
Her Heuristic evaluation study in the realm of Human–computer interaction connects with subjects such as Heuristics.
Her work carried out in the field of Ubiquitous computing brings together such families of science as User interface, Mobile device and Personally identifiable information.
The study incorporates disciplines such as Communication design and Set in addition to Mobile device.
Her work on Social computing as part of her general World Wide Web study is frequently connected to Citizen science, Mobile data collection and Technical skills, thereby bridging the divide between different branches of science.
Her studies in Ambiguity integrate themes in fields like Range and Interface.
Her most cited work include:
- UbiGreen: investigating a mobile tool for tracking and supporting green transportation habits (460 citations)
- Heuristic evaluation of ambient displays (451 citations)
- Who wants to know what when? privacy preference determinants in ubiquitous computing (267 citations)
What are the main themes of her work throughout her whole career to date?
Jennifer Mankoff focuses on Human–computer interaction, Ubiquitous computing, Multimedia, User interface and Artificial intelligence.
Jennifer Mankoff combines subjects such as Architecture, Mobile device, Ambiguity and Set with her study of Human–computer interaction.
Her Ubiquitous computing study integrates concerns from other disciplines, such as World Wide Web, Conceptual model and Personally identifiable information.
Her study in World Wide Web focuses on Web accessibility and Web Accessibility Initiative.
Her Multimedia study frequently links to other fields, such as Web page.
Jennifer Mankoff interconnects Machine learning and Computer vision in the investigation of issues within Artificial intelligence.
She most often published in these fields:
- Human–computer interaction (42.57%)
- Ubiquitous computing (18.24%)
- Multimedia (13.51%)
What were the highlights of her more recent work (between 2015-2021)?
- Human–computer interaction (42.57%)
- Machine learning (4.73%)
- Artificial intelligence (9.46%)
In recent papers she was focusing on the following fields of study:
Jennifer Mankoff mainly focuses on Human–computer interaction, Machine learning, Artificial intelligence, Knowledge management and Data science.
The various areas that Jennifer Mankoff examines in her Human–computer interaction study include Multimedia, Interface, Facade, Pipeline and Table.
Her Artificial intelligence research includes elements of Domain, Speech recognition and Text entry.
She has researched Knowledge management in several fields, including Design and Technology, Digital resources and Association.
Her Quality research includes themes of Ubiquitous computing and Data mining.
Her study on Ubiquitous computing is mostly dedicated to connecting different topics, such as Presentation.
Between 2015 and 2021, her most popular works were:
- Modeling and Understanding Human Routine Behavior (68 citations)
- A compiler for 3D machine knitting (56 citations)
- Stretching the Bounds of 3D Printing with Embedded Textiles (42 citations)
In her most recent research, the most cited papers focused on:
- Artificial intelligence
- The Internet
- Programming language
Her primary scientific interests are in Human–computer interaction, Assistive technology, 3D printing, Knowledge management and Layer.
Jennifer Mankoff undertakes interdisciplinary study in the fields of Human–computer interaction and Braille through her research.
In her study, Stability, Object, Construct and Adaptation is inextricably linked to 3D modeling, which falls within the broad field of 3D printing.
The Knowledge management study combines topics in areas such as Rapid prototyping, Design and Technology and Harm.
Her Layer research integrates issues from Real-time computing, State and Code.
Her End user research is multidisciplinary, incorporating elements of 3d model, Norm and Personalization.
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