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Patrick J. Grabowski

dblp:23/11355 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2019
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 2 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Immersive interaction · 77% Usability and user experience research · 23%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Immersive interaction
virtual reality
0.212014
Age differences in the control of a precision reach to grasp task within a desktop virtual environment · Int. J. Hum. Comput. Stud. 2014
Usability and user experience research › individual differences
age differences
0.112014
Age differences in the control of a precision reach to grasp task within a desktop virtual environment · Int. J. Hum. Comput. Stud. 2014
YearPublicationVenuePosition
2019 The Role of Visual Feedback and Age When Grasping, Transferring and Passing Objects in Virtual Environments
abstract
Visual feedback about one’s own movements can be important for effective performance in natural and computer-generated environments. Previous work suggested that, for young adults, performance in virtual environments was influenced by the presence of a crude representation of the hand in a task-specific fashion. The current study was performed to determine whether this pattern of results holds across the lifespan. Specifically, we were interested in determining whether a representation of the hand is useful for movement performance in children, middle adults, and older adults when they reach to grasp an object, transfer it between their two hands, or receive it from a partner. Surprisingly, visual feedback condition had very little effect on performance in the current experiment, with the exception that participants in all three age groups altered how wide they opened their hand when grasping depending on visual condition. Patterns of reach and grasp performance changed across task depending on age, with older adults displaying different patterns than children and middle-aged adults. These results suggest that feedforward planning and the use of feedback are modulated by both age and task.
Andrea H. Mason, Patrick J. Grabowski, Drew N. Rutherford
Int. J. Hum. Comput. Interact.2
2014 Age differences in the control of a precision reach to grasp task within a desktop virtual environment
Patrick J. Grabowski, Andrea H. Mason
Int. J. Hum. Comput. Stud.1