What is she best known for?
The fields of study she is best known for:
- Artificial intelligence
- Human–computer interaction
- Mechanical engineering
Karon E. MacLean mostly deals with Haptic technology, Human–computer interaction, Set, Haptic communication and Artificial intelligence.
Her primary area of study in Haptic technology is in the field of Haptic control.
Karon E. MacLean interconnects Digital media and Multimedia in the investigation of issues within Human–computer interaction.
Her work deals with themes such as Task and Intrusiveness, which intersect with Set.
Her Haptic communication research is multidisciplinary, relying on both Interpersonal communication, Modality and Interpersonal interaction.
Her Artificial intelligence research focuses on Computer vision and how it connects with Stereotaxy.
Her most cited work include:
- A role for haptics in mobile interaction: initial design using a handheld tactile display prototype (197 citations)
- Perceptual Design of Haptic Icons (179 citations)
- Do it yourself haptics: part I (152 citations)
What are the main themes of her work throughout her whole career to date?
Her main research concerns Haptic technology, Human–computer interaction, Multimedia, Artificial intelligence and Robot.
Her Haptic technology study is concerned with the field of Simulation as a whole.
The various areas that Karon E. MacLean examines in her Simulation study include Work, Touchscreen and Mobile device.
Her Human–computer interaction research is multidisciplinary, incorporating perspectives in Personalization and Set.
As part of her studies on Artificial intelligence, Karon E. MacLean often connects relevant subjects like Computer vision.
Her work on Human–robot interaction as part of her general Robot study is frequently connected to Social robot, thereby bridging the divide between different branches of science.
She most often published in these fields:
- Haptic technology (64.79%)
- Human–computer interaction (53.52%)
- Multimedia (26.06%)
What were the highlights of her more recent work (between 2017-2021)?
- Human–computer interaction (53.52%)
- Haptic technology (64.79%)
- Speech recognition (4.23%)
In recent papers she was focusing on the following fields of study:
Her scientific interests lie mostly in Human–computer interaction, Haptic technology, Speech recognition, Neonatal intensive care unit and Robot.
Her Human–computer interaction research is mostly focused on the topic Virtual reality.
The study incorporates disciplines such as Multimedia, Session, Taxonomy, Workspace and Visualization in addition to Haptic technology.
Her work is dedicated to discovering how Workspace, Mobile device are connected with Gesture and other disciplines.
Her Speech recognition research includes elements of Window, Vibrotactile stimulus, Index finger and Noise.
Her work in the fields of Robot, such as Robotics and Robotic systems, overlaps with other areas such as Autonomous robot and Atmospheric measurements.
Between 2017 and 2021, her most popular works were:
- Haptipedia: Accelerating Haptic Device Discovery to Support Interaction & Engineering Design (12 citations)
- Is it Happy?: Behavioural and Narrative Frame Complexity Impact Perceptions of a Simple Furry Robot's Emotions (7 citations)
- Pilot Testing a Robot for Reducing Pain in Hospitalized Preterm Infants. (5 citations)
In her most recent research, the most cited papers focused on:
- Artificial intelligence
- Human–computer interaction
- Cognitive psychology
Her primary scientific interests are in Haptic technology, Human–computer interaction, Heart rate variability, Taxonomy and Visualization.
Her studies in Haptic technology integrate themes in fields like Variation, Constraint and Control.
Her work often combines Human–computer interaction and Framing studies.
Her Heart rate variability studies intersect with other disciplines such as Heart beat, Breathing, Neonatal intensive care unit, Acute pain and Physical therapy.
Her Taxonomy study frequently links to related topics such as Engineering design process.
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.
