Publication detail

PeepList: Adapting ex-post interaction with pervasive display content using eye tracking

KAJAN, R. HEROUT, A. BEDNAŘÍK, R. POVOLNÝ, F.

Original Title

PeepList: Adapting ex-post interaction with pervasive display content using eye tracking

English Title

PeepList: Adapting ex-post interaction with pervasive display content using eye tracking

Type

journal article in Web of Science

Language

en

Original Abstract

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.

English abstract

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.

Keywords

Eye tracking, Pervasive displays, Multi modal interaction, Multi-device environment

Released

01.08.2016

Publisher

NEUVEDEN

Location

NEUVEDEN

ISBN

1574-1192

Periodical

Pervasive and Mobile Computing

Year of study

30

Number

1

State

NL

Pages from

71

Pages to

83

Pages count

13

URL

Documents

BibTex


@article{BUT163347,
  author="Rudolf {Kajan} and Adam {Herout} and Roman {Bednařík} and Filip {Povolný}",
  title="PeepList: Adapting ex-post interaction with pervasive display content using eye tracking",
  annote="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.",
  address="NEUVEDEN",
  chapter="163347",
  doi="10.1016/j.pmcj.2015.12.004",
  edition="NEUVEDEN",
  howpublished="online",
  institution="NEUVEDEN",
  number="1",
  volume="30",
  year="2016",
  month="august",
  pages="71--83",
  publisher="NEUVEDEN",
  type="journal article in Web of Science"
}