research-article

A user-tracing architecture for modeling interaction with the world wide web

Authors:

Stuart K. CardAuthors Info & Claims

AVI '02: Proceedings of the Working Conference on Advanced Visual Interfaces

Pages 75 - 83

https://doi.org/10.1145/1556262.1556272

Published: 22 May 2002 Publication History

Abstract

We have developed a methodology for studying and analyzing the psychology of users performing ecologically valid WWW tasks. A user trace is a record of all significant states and events in the user-WWW interaction based on eye tracking data, application-level logs, and think-aloud protocols. A user-tracing architecture has been implemented for developing simulation models of user-WWW interaction and for comparing a simulation model (SNIF-ACT) against user-trace data. The user tracing architecture compares each action of the SNIF-ACT simulation directly against observed user actions. The model and architecture have been used to successfully match detailed user trace data from four users working on two tasks each.

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Cited By

Zörgő SPeters GJeney AShaffer DRuis ACrutzen R(2024)A feasibility study for a unified, multimodal analysis of online information foraging in health-related topicsOpen Research Europe10.12688/openreseurope.16119.23(98)Online publication date: 6-Mar-2024
https://doi.org/10.12688/openreseurope.16119.2
Zörgő SPeters GJeney AShaffer DRuis ACrutzen R(2023)A feasibility study for a unified, multimodal analysis of online information foraging in health-related topicsOpen Research Europe10.12688/openreseurope.16119.13(98)Online publication date: 20-Jun-2023
https://doi.org/10.12688/openreseurope.16119.1
Zhou YEvans DFu K(2014)SSOScanProceedings of the 23rd USENIX conference on Security Symposium10.5555/2671225.2671257(495-510)Online publication date: 20-Aug-2014
https://dl.acm.org/doi/10.5555/2671225.2671257
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Index Terms

A user-tracing architecture for modeling interaction with the world wide web
1. Human-centered computing
  1. Human computer interaction (HCI)

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Published In

cover image ACM Conferences

AVI '02: Proceedings of the Working Conference on Advanced Visual Interfaces

May 2002

382 pages

ISBN:1581135378

DOI:10.1145/1556262

Editors:
Maria De Marsico
Universita di Roma "La Sapienza", Roma, Italy
,
Stefano Levialdi
Universita di Roma "La Sapienza", Roma, Italy
,
Emanuele Panizzi
Universita di Roma "La Sapienza", Roma, Italy

Copyright © 2002 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGCHI Italy: SIGCHI Italy
SIGMM: ACM Special Interest Group on Multimedia
SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 May 2002

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SIGMM
SIGCHI

AVI'02: Advanced Visual Interfaces

May 22 - 24, 2002

Trento, Italy

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Overall Acceptance Rate 128 of 490 submissions, 26%

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Cited By

Zörgő SPeters GJeney AShaffer DRuis ACrutzen R(2024)A feasibility study for a unified, multimodal analysis of online information foraging in health-related topicsOpen Research Europe10.12688/openreseurope.16119.23(98)Online publication date: 6-Mar-2024
https://doi.org/10.12688/openreseurope.16119.2
Zörgő SPeters GJeney AShaffer DRuis ACrutzen R(2023)A feasibility study for a unified, multimodal analysis of online information foraging in health-related topicsOpen Research Europe10.12688/openreseurope.16119.13(98)Online publication date: 20-Jun-2023
https://doi.org/10.12688/openreseurope.16119.1
Zhou YEvans DFu K(2014)SSOScanProceedings of the 23rd USENIX conference on Security Symposium10.5555/2671225.2671257(495-510)Online publication date: 20-Aug-2014
https://dl.acm.org/doi/10.5555/2671225.2671257
Ooms KColtekin ADe Maeyer PDupont LFabrikant SIncoul AKuhn MSlabbinck HVansteenkiste PVan der Haegen L(2014)Combining user logging with eye tracking for interactive and dynamic applicationsBehavior Research Methods10.3758/s13428-014-0542-347:4(977-993)Online publication date: 10-Dec-2014
https://doi.org/10.3758/s13428-014-0542-3
Li ALi HGuo RZhu T(2013)MobileSensInternational Journal of Cyber Behavior, Psychology and Learning10.4018/ijcbpl.20130401043:2(47-55)Online publication date: 1-Apr-2013
https://dl.acm.org/doi/10.4018/ijcbpl.2013040104
Cress UHeld CKimmerle J(2013)The collective knowledge of social tagsComputers & Education10.1016/j.compedu.2012.06.01560:1(59-73)Online publication date: 1-Jan-2013
https://dl.acm.org/doi/10.1016/j.compedu.2012.06.015
Held CKimmerle JCress U(2012)Learning by foragingComputers in Human Behavior10.1016/j.chb.2011.08.00828:1(34-40)Online publication date: 1-Jan-2012
https://dl.acm.org/doi/10.1016/j.chb.2011.08.008
Rui Guo Tingshao Zhu Yu Wang Xinguo Xu (2011)MobileSens: A framework of behavior logger on Andriod mobile device2011 6th International Conference on Pervasive Computing and Applications10.1109/ICPCA.2011.6106518(281-286)Online publication date: Oct-2011
https://doi.org/10.1109/ICPCA.2011.6106518
Mankowski WBogunovich PShokoufandeh ASalvucci DOlsen DArthur RHinckley KMorris MHudson SGreenberg S(2009)Finding canonical behaviors in user protocolsProceedings of the SIGCHI Conference on Human Factors in Computing Systems10.1145/1518701.1518900(1323-1326)Online publication date: 4-Apr-2009
https://dl.acm.org/doi/10.1145/1518701.1518900
Fu WPirolli P(2007)SNIF-ACTHuman-Computer Interaction10.5555/1466607.146660822:4(355-412)Online publication date: 1-Nov-2007
https://dl.acm.org/doi/10.5555/1466607.1466608
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