Harutune H. Mikaelian

dblp:91/5678 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 1988
—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
2 papers
Wearable and physiological sensing · 83% Usability and user experience research · 9% Interaction techniques and input · 8%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Wearable and physiological sensing › eye tracking
gaze-based interaction
0.011987
An evaluation of an eye tracker as a device for computer input2 · CHI 1987
Wearable and physiological sensing › eye tracking › gaze-based interaction
gaze-based selection
0.011987
An evaluation of an eye tracker as a device for computer input2 · CHI 1987
Usability and user experience research
visual fatigue
0.011988
Changes in Contrast Sensitivity Function Produced by VDT Use · Int. J. Man Mach. Stud. 1988
Interaction techniques and input › input device
input device evaluation
0.011987
An evaluation of an eye tracker as a device for computer input2 · CHI 1987

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

user study · 0.0
YearPublicationVenuePosition
1988 Changes in Contrast Sensitivity Function Produced by VDT Use
Harutune H. Mikaelian
Int. J. Man Mach. Stud.1
1987 An evaluation of an eye tracker as a device for computer input2
abstract
Since humans direct their visual attention by means of eye movements, a device which monitors eye movements should be a natural “pick” device for selecting objects visually present on a monitor. The results from an experimental investigation of an eye tracker as a computer input device are presented. Three different methods were used to select the object looked at; these were a button press, prolonged fixation or “dwell” and an on screen select button. The results show that an eye tracker can be used as a fast selection device providing that the target size is not too small. If the targets are small speed declines and errors increase rapidly.
Colin Ware, Harutune H. Mikaelian
CHI2