PeepList: Adapting ex-post interaction with pervasive display content using eye tracking
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F16%3APU136006" target="_blank" >RIV/00216305:26230/16:PU136006 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/abs/pii/S1574119215002163" target="_blank" >https://www.sciencedirect.com/science/article/abs/pii/S1574119215002163</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.pmcj.2015.12.004" target="_blank" >10.1016/j.pmcj.2015.12.004</a>
Alternative languages
Result language
angličtina
Original language name
PeepList: Adapting ex-post interaction with pervasive display content using eye tracking
Original language description
Short intensive interactions with unfamiliar pervasive displays coerce users to perform cognitive operations with uncertainty and risk of not being able to access the information of relevance later. We developed a new way of interaction with pervasive displays by harnessing the eye tracking technology to extract information that is most likely relevant to the user. These extracted bits of important information are presented to the user and sorted according to their estimated importance-in the PeepList. The users can interact with the PeepList without explicit commands and they can access the customized PeepList ex-post in order to review information previously consumed from the pervasive display. We carried out a user study involving 16 participants to evaluate the contribution of PeepList to efficient pervasive display interaction. The tests revealed that the PeepList system is unobtrusive, accurate, and in particular it reduces the interaction times by 40% when complex tasks were presented to the participants. A feasible user model can be built in under 30 seconds in 50% of all interactions, and in one minute, a majority of all interactions (70%) lead to a useful user model. Experimental results show that eye tracking is a valuable real-time implicit source of information about what the user is searching for on a pervasive display and that it can be used for real-time user interface adaptation. This considerably improves the efficiency of obtaining and retaining required data.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/TE01020415" target="_blank" >TE01020415: V3C - Visual Computing Competence Center</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Pervasive and Mobile Computing
ISSN
1574-1192
e-ISSN
1873-1589
Volume of the periodical
30
Issue of the periodical within the volume
1
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
13
Pages from-to
71-83
UT code for WoS article
000378853900006
EID of the result in the Scopus database
2-s2.0-84955283766