Estimation of the user's cognitive load while interacting with the interface based on bayesian network

Download

10424101.pdf

Date

2021-9-10

Author

Saydam, Aysun

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

438
views

277
downloads

The complexity of human machine interfaces is increasing significantly in parallel with the development of technology and excessive data growth, but human cognitive capacity is limited. Therefore, measuring cognitive load is one of the most preferential and common ways to test the usability of user interfaces. There are many different physiological, behavioral and subjective methods to measure human performance and workload. Moreover, there are cognitive predictive models and many related applications based on these models to predict performance and human workload on computer based tasks. The purpose of this study is to estimate the cognitive load and performance of the person by evaluating multiple methods together based on Bayesian network. For this, we modeled a Bayesian network that both uses a cognitive predictive model, and learns and regulates it with subjective data collected from people. After modelling, we conducted experiments with the interfaces of two different defense projects to collect data. We used the adapted Bedford scale at the end of each task of an interface and the NASA TLX rating scale for the overall rating of the interface after all tasks were completed. We confirmed that the Bayesian network effectively estimated the user’s workload and performance. Our findings reveal that this model performs cognitive load analyzes much more efficiently in a short time. This study also demonstrates the differences between tasks and users, providing the opportunity to detect the complexity of subtasks and perform personalized performance and cognitive load analysis for each user.

Subject Keywords

User interface, Bayesian network, Cognitive load, Performance

URI

https://hdl.handle.net/11511/93050

Collections

Graduate School of Informatics, Thesis

Suggestions

OpenMETU
Core

Using tag similarity in SVD-based recommendation systems Osmanli, Osman Nuri; Toroslu, İsmail Hakkı (2011-12-01) Data analysis has become a very important area for both companies and researchers as a consequence of the technological developments in recent years. Companies are trying to increase their profit by analyzing the existing data about their customers and making decisions for the future according to the results of these analyses. Parallel to the need of companies, researchers are investigating different methodologies to analyze data more accurately with high performance. In this paper, we adopted free-formatte...
Performance in the Workplace: a Critical Evaluation of Cognitive Enhancement Acartürk, Cengiz; Mücen, Barış (2022-04-01) The popular debates about the future organization of work through artificial intelligence technologies focus on the replacement of human beings by novel technologies. In this essay, we oppose this statement by closely following what has been developed as AI technologies and analyzing how they work, specifically focusing on research that may impact work organizations. We develop this argument by showing that the recent research and developments in AI technologies focus on developing accurate and precise perf...
Experimenting with software testbeds for evaluating new technologies LINDVALL, Mikael; RUS, Ioana; DONZELLI, Paolo; MEMON, Atif; ZELKOWITZ, Marvin; Betin Can, Aysu; BULTAN, Tevfik; ACKERMANN, Chris; ANDERS, Bettina; ASGARI, Sima; BASILI, Victor; HOCHSTEIN, Lorin; FELLMANN, Joerg; SHULL, Forrest; TVEDT, Roseanne; PECH, Daniel; HIRSCHBACH, Daniel (2007-08-01) The evolution of a new technology depends upon a good theoretical basis for developing the technology, as well as upon its experimental validation. In order to provide for this experimentation, we have investigated the creation of a software testbed and the feasibility of using the same testbed for experimenting with a broad set of technologies. The testbed is a set of programs, data, and supporting documentation that allows researchers to test their new technology on a standard software platform. An import...
Case studies on the use of neural networks in eutrophication modeling Karul, C; Soyupak, S; Cilesiz, AF; Akbay, N; Germen, E (2000-10-30) Artificial neural networks are becoming more and more common to be used in development of prediction models for complex systems as the theory behind them develops and the processing power of computers increase. A three layer Levenberg-Marquardt feedforward learning algorithm was used to model the eutrophication process in three water bodies of Turkey (Keban Dam Reservoir, Mogan and Eymir Lakes). Despite the very complex and peculiar nature of Keban Dam, a relatively good correlation (correlation coefficient...
Analysis of the effect of element radiation pattern in the performance of mimo arrays used in imaging applications Altuntaş, Fırat; Alatan, Lale; Department of Electrical and Electronics Engineering (2020-10-11) Along with the developments in technology, complexity of the systems tends to increase. Consequently rigorous models that take into account of all the effects in such complex systems become very time consuming. In this study, an ultra-wide band (UWB) multi-input multi-output (MIMO) imaging system is considered and a simple model that is generally used in the analysis of such systems is improved with an effort to obtain results closer to those achieved by rigorous models. Simple or rigorous models simu...

Citation Formats

A. Saydam, “Estimation of the user’s cognitive load while interacting with the interface based on bayesian network,” M.S. - Master of Science, Middle East Technical University, 2021.