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Justin G. Hollands

dblp:82/7494 · also J. G. Hollands · DBLP profile ↗
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4ranked-venue papers
1as first author
0since 2021 · last 2020
—ORCID · none

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

Human-computer interaction and ubiquitous computing · 3 · 1 first-authorArtificial intelligence and machine learning · 1

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
2 papers
User interface design and tools · 62% Interaction techniques and input · 19% Human-AI interaction · 19%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
User interface design and tools
interface models
0.011999
Perceptual control and layered protocols in interface design: I. Fundamental concepts · Int. J. Hum. Comput. Stud. 1999
Human-AI interaction › large language model interaction › language-based interaction
human-computer dialogue
0.011999
Perceptual control and layered protocols in interface design: II. The general protocol grammar · Int. J. Hum. Comput. Stud. 1999

Methods — techniques the papers use, named apart from their topics

layered protocol models · 0.0
YearPublicationVenuePosition
2020 Visual Information Requirements for Dismounted Soldier Target Acquisition
abstract
We conducted an empirical investigation of the visual information requirements for target detection and threat identification decisions in the dismounted soldier context. Forty soldiers viewed digital photographs of a person standing against a forested background. The soldiers made two-alternative detection decisions requiring them to determine whether the target was present in the scene, and two-alternative threat identification decisions that required discrimination of the objects held by the target, the clothing worn by the target, and target postures. The images were presented to subjects on a computer display, and variation in the apparent target distance was simulated through digital image magnification and by varying the viewing distance to the display. Image resolution was degraded progressively by spatial frequency filtering and we estimated the resolution threshold in each task. These threshold values were compared with the historical Johnson criteria for predicting imaging device performance. Our data are broadly consistent with the previously reported values, though our threat identification decisions required subjects to perceive information with a larger spatial scale than the Johnson criterion for identification of standing human targets. In a second experiment, we employed a four-alternative identification decision and found results that were consistent with those from Experiment 1. We also confirmed that the spatial scale of visual information used for target acquisition is highly task-specific, and provided a novel demonstration of changes in visual information requirements as a function of target range. These findings pose challenges for models of target acquisition with imaging devices.
Mackenzie G. Glaholt, Justin G. Hollands, Grace Sim, Tzvi Spivak, Beatrice Sacripanti
ACM Trans. Appl. Percept.2
2002 Book review
Justin G. Hollands
Behav. Inf. Technol.1
1999 Perceptual control and layered protocols in interface design: I. Fundamental concepts
Philip S. E. Farrell, Justin G. Hollands, M. M. Taylor, H. D. Gamble
Int. J. Hum. Comput. Stud.2
1999 Perceptual control and layered protocols in interface design: II. The general protocol grammar
M. M. Taylor, Philip S. E. Farrell, Justin G. Hollands
Int. J. Hum. Comput. Stud.3