ePoster Presentation

(EP-159) The Mental Workload Evaluation of Information Visualization in the 3D Environment: A Telehealth Indicator Study

Monday, April 24
6:00 PM - 6:15 PM
Location: Experience Zone - ePosters

Since the Internet rising, the data amount has been increasing exponentially. One of the challenges is to transform this amount of unstructured data into legible information through visualization techniques. Traditionally, data visualization is developed with 2D techniques, but it is often difficult to visualize, interpret or making the right decisions with a 2D technique when you have multidimensional data. With this fact, the 3D visualization techniques are emerging to addresses this issue. This paper aims to investigate and demonstrate the hypothesis that the use of 3D techniques for information visualization is more effective as support to users in visualizing information than some 2D visualization techniques.

The methodology used to conduct and reach the study goal was a quantitative methodology. The data was collected through a case study involving 30 Telehealth professionals. The instruments used to collect data were a questionnaire based on NASA Task load Index (TLX) protocol, time recordings and task analysis. Besides the NASA TLX protocol questionnaire we also used the direct observation of the participants to collect the time, the effectiveness and efficiency in performing the task. The evaluation was held at the Telehealth Center of Clinical Hospital in Federal University of Pernambuco from September to November 2013. We applied the t student test with 95% confidence interval to determine if the mean of the values obtained in 2D and 3D techniques affected the mental load perceived by the participants.

The mental workload of the participants in the tasks with the 2D technique was higher than with 3D technique. The smallest difference in average scores between the two techniques was observed in the sub-factor performance which 2D technique required more performance than the 3D technique. The biggest difference was the frustration factor which means that the participants had less level of frustration in 3D technique than in 2D. The sub-factor of physical demand was most required with 3D technique than 2D. The results of the stress factor showed that 3D technique participants had less stress than in 2D technique. In general the average number of correct answers in 2D technique was slightly lower compared to 3D technique. The overall average task execution time was higher with the 3D technique than with 2D and the 2D technique (M = 0.33, δ = 0.087) obtained a better efficiency compared to 3D technique.

We present a new trend in interfaces development for data visualization using 3D techniques to support decision-making in any domain. The 3D environment is the first interactive tool to visualize and monitor telehealth service indicators. Although this study has several limitations about the performance and bugs that need to be considered when interpreting the results, the results provide proof that the 3D environment prototype contributes to improve the identification of patterns, visual perception and understanding in the search of specific information by reducing the search time and cognitive load. However, analysis of usability also shows that there are problems of the visualization interface which will be adjusted so that the environment becomes easier to use. Beyond the 3D environment will support the service manager to verify the quality of service towards the features provided by 3D environment, especially its capability to identify trends, clusters of interest, and perform indicators comparison.

Amadeu SA. Campos

Telehealth Center at Clinical Hospital of Federal University of Pernambuco

Civil Engineering graduated from the Federal University of Pernambuco (1998) and master's degree in Civil Engineering from the Polytechnic School of the University of São Paulo (2004). In 2014 finished a doctorate in Computer Science in the Information Center of the Federal University of Pernambuco. He has experience in computer science with an emphasis in Information Systems, acting on the following topics: Distance learning, information visualization, Human Machine Interface and Information Technology for Health


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Alex Sandro Gomes

Informatics Center of Federal University of Pernambuco

Electronic Engineer Graduated (UFPE, 1992), Master in Cognitive Psychology (UFPE, 1995) and completed his doctorate in Educational Sciences from the Université de Paris v (René Descartes) in 1999. He is currently Professor at the University Computer Center Federal de Pernambuco, Scholarship Devel Productivity. Tec. and Innovative Extension 2 CNPq and member of the Pernambuco Academy of Sciences. It works with the design of collaborative learning environments. He has published over 200 papers in professional journals and conference proceedings, directed or co-directed more than 60 dissertations and doctoral theses in the area. He served as coordinator of SBIE and IHC events promoted by SBC. He was a member of the special committees of Human Computer Interaction and Educational SBC Computer. It is a leader of the research group Cognitive Science and Educational Technology. It is Coordinator of free software communities Amadeus and Openredu


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Magdala DE ARAUJO.. Novaes

Telehealth Center, Clinics Hospital, Federal University of Pernambuco

Associate professor of Health Informatics, Department of Internal Medicine and professor of the Medical Course in UFPE. Founder and coordinator of the Research Group on Health Information Technology (TIS) and the Telehealth Center (NUTES) of UFPE - Digital Health Unit of the Clinics Hospital. Bachelor in Computer Science by the Federal University of Pernambuco (UFPE) in 1987 (Brazil). PhD in Bioinformatics by the Université d'Aix-Marseille II (France), Centre National de la Recherche Scientifique in 1993, specialized in applied information to organizations by the Montpellier I University (France). Research areas: digital health, clinical informatics, public health informatics, telehealth and mobile health (mHealth), information technology in medical education. Coordinates and develops projects in NUTES with emphasis on telehealth in primary care. Member of the Graduate Program in Surgery of the UFPE, and co-adviser in the postgraduate Program in Informatics and in the Neuropsychiatry Program. Researcher of the National Institute of Science in Developmental Psychiatry for Children and Adolescents (INPD). Member of the Brazilian Society of Health Informatics (SBIS), Member of the Advisory Committee of the Telemedicine University Network (RUTE) of the National Research and Teaching Network (RNP). Voted the most influential person in digital health in Latin America by HealthXL Awards in 2014, and named one of the 100 most influential people in Brazil Health Sector in the Hospitalar Fair 2015.


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(EP-159) The Mental Workload Evaluation of Information Visualization in the 3D Environment: A Telehealth Indicator Study

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