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Tracing Users’ Behaviors in a Multimodal Instructional …
https://link.springer.com/chapter/10.1007/978-3-540-73110-8_82
Tracing Users’ Behaviors in a Multimodal Instructional …
https://www.researchgate.net/publication/221096323_Tracing_Users'_Behaviors_in_a_Multimodal_Instructional_Material_An_Eye-Tracking_Study
The main purpose of this study was to investigate the potential effects of the instructional environments which were designed by using multimodal information on the participants' behaviors. ... An...
Tracing users' behaviors in a multimodal instructional …
https://dl.acm.org/doi/10.5555/1769590.1769675
Tracing users' behaviors in a multimodal instructional material: an eye-tracking study. Share on. Authors: Esra Yecan. Computer Education and Instructional Technology, Middle East Technical University, Ankara, Turkey ...
LNCS 4552 - Tracing Users’ Behaviors in a …
https://link.springer.com/content/pdf/10.1007/978-3-540-73110-8_82.pdf
Tracing Users’ Behaviors in a Multimodal Instructional Material 757 VIDEO AREA VIDEO CONTROL BUTTONS AREA MENU AREA SLIDE AREA Fig. 1. Areas of interest (AOI) 2.3 Data Collection The sessions were conducted in the Human-Computer Interaction laboratory. Data were collected through an eye-tracker device (The Tobii 1750 Eye Tracker, Tobii
Tracing Users' Behaviors in a Multimodal Instructional …
https://www.semanticscholar.org/paper/Tracing-Users'-Behaviors-in-a-Multimodal-Material%3A-Yecan-Sumuer/4d1c55a9834eab09372352ee462b5576652afce1
This study aims to explore user behaviors in instructional environments combining multimodal presentation of information. Cognitive load theory and dual coding theory were taken as the theoretical perspectives for the analyses. For this purpose, user behaviors were analyzed by recording participants' eye movements while they were using an instructional material with …
Figure 3 from Tracing Users' Behaviors in a Multimodal …
https://www.semanticscholar.org/paper/Tracing-Users'-Behaviors-in-a-Multimodal-Material%3A-Yecan-Sumuer/4d1c55a9834eab09372352ee462b5576652afce1/figure/4
Tracing Users' Behaviors in a Multimodal Instructional Material: An Eye-Tracking Study @inproceedings{Yecan2007TracingUB, title={Tracing Users' Behaviors in a Multimodal Instructional Material: An Eye-Tracking Study}, author={Esra Yecan and Evren Sumuer and Bahar Baran and Kursat Cagiltay}, booktitle={HCI}, year={2007} }
Tracing Users’ Behaviors in a Multimodal Instructional …
https://www.infona.pl/resource/bwmeta1.element.springer-aa80619a-5d89-34ae-a8d6-0d65659ef96b
This study aims to explore user behaviors in instructional environments combining multimodal presentation of information. Cognitive load theory and dual coding theory were taken as the theoretical perspectives for the analyses. For this purpose, user behaviors were analyzed by recording participants’ eye movements while they were using an instructional material with …
Tracking User Behavior with Big Data: A Model for …
https://uxpamagazine.org/tracking-user-behavior/
Although user behavior tracking models based on big data are widely used in the industry, each product is unique and requires its own model. Figure 2 shows a four-user sub-section of a user behavior model built for an app, and Figure 3 shows the full raw data with many users. The data contains the following elements:
A Visual Tool for Tracing Users’ Behavior in Virtual …
http://hcilab.uniud.it/images/stories/publications/2004-09/TracingUsersBehavior_AVI2004.pdf
identified only by studying the behavior of real users in VEs. This paper proposes a tool, called VU-Flow, that is able to automatically record usage data of VEs and then visualize it in formats that make it easy for the VE designer to visually detect peculiar users' behaviors and thus better understand the effects of her design choices. In ...
Anomaly Detection from System Tracing Data using …
https://jorge-cardoso.github.io/publications/Papers/CP-2019-090-IEEECloud-Anomaly_Detection_from_System_Tracing_Data_and_MDL.pdf
by introducing a model, which utilizes the multimodal tracing data as a combination of a text and real-valued sequence. We show that the multimodal approach can be used to model the normal system behavior and detect anomalies considering not only the causality of the services but also their response times within a trace.
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