| dc.date.accessioned |
2016-04-06T13:18:47Z |
und |
| dc.date.accessioned |
2017-10-24T12:24:09Z |
|
| dc.date.available |
2016-04-06T13:18:47Z |
und |
| dc.date.available |
2017-10-24T12:24:09Z |
|
| dc.date.issued |
2016-04-06T13:18:47Z |
|
| dc.identifier.uri |
http://radr.hulib.helsinki.fi/handle/10138.1/5398 |
und |
| dc.identifier.uri |
http://hdl.handle.net/10138.1/5398 |
|
| dc.title |
User Interface Cues Based on Eye Gaze Data in Information Retrieval |
en |
| ethesis.discipline |
Computer science |
en |
| ethesis.discipline |
Tietojenkäsittelytiede |
fi |
| ethesis.discipline |
Datavetenskap |
sv |
| ethesis.discipline.URI |
http://data.hulib.helsinki.fi/id/1dcabbeb-f422-4eec-aaff-bb11d7501348 |
|
| ethesis.department.URI |
http://data.hulib.helsinki.fi/id/225405e8-3362-4197-a7fd-6e7b79e52d14 |
|
| ethesis.department |
Institutionen för datavetenskap |
sv |
| ethesis.department |
Department of Computer Science |
en |
| ethesis.department |
Tietojenkäsittelytieteen laitos |
fi |
| ethesis.faculty |
Matematisk-naturvetenskapliga fakulteten |
sv |
| ethesis.faculty |
Matemaattis-luonnontieteellinen tiedekunta |
fi |
| ethesis.faculty |
Faculty of Science |
en |
| ethesis.faculty.URI |
http://data.hulib.helsinki.fi/id/8d59209f-6614-4edd-9744-1ebdaf1d13ca |
|
| ethesis.university.URI |
http://data.hulib.helsinki.fi/id/50ae46d8-7ba9-4821-877c-c994c78b0d97 |
|
| ethesis.university |
Helsingfors universitet |
sv |
| ethesis.university |
University of Helsinki |
en |
| ethesis.university |
Helsingin yliopisto |
fi |
| dct.creator |
Vasilieva, Marta |
|
| dct.issued |
2016 |
|
| dct.language.ISO639-2 |
eng |
|
| dct.abstract |
The work includes research in the fields of information visualization, eye tracking and information retrieval. The emphasis is put on visualization techniques which raise the level of a user's attention for performing search tasks more efficiently. The visualization technique that is described in the work is a visual cue. Visual cues direct users' attention to the relevant information on the screen.
By tracking eye gaze data common user behavior patters are defined and eye gaze metrics are calculated. By analyzing eye gaze patterns we get an insight on possible design solutions which include the implementation of visual cues for improving a user's performance.
By aiming at increasing user performance we propose introducing visual cues which would reduce the time spent on the search task and facilitate the attention switching within areas of interest.
One of the key metrics which we get based on eye gaze data is the time spent on reading activities during the search session. In the work we calculate the duration of each type of a reading activity and suggest ways of decreasing the overall time spent, as well as means of enhancing the attention switching.
ACM Computing Classification System (CCS):
B.2.2 Performance Analysis and Design Aids
D.2.2 Design Tools and Techniques
H.3.3 Information Search and Retrieval |
en |
| dct.language |
en |
|
| ethesis.language.URI |
http://data.hulib.helsinki.fi/id/languages/eng |
|
| ethesis.language |
English |
en |
| ethesis.language |
englanti |
fi |
| ethesis.language |
engelska |
sv |
| ethesis.thesistype |
pro gradu-avhandlingar |
sv |
| ethesis.thesistype |
pro gradu -tutkielmat |
fi |
| ethesis.thesistype |
master's thesis |
en |
| ethesis.thesistype.URI |
http://data.hulib.helsinki.fi/id/thesistypes/mastersthesis |
|
| dct.identifier.urn |
URN:NBN:fi-fe2017112251751 |
|
| dc.type.dcmitype |
Text |
|
