Interactive analytical tool for usability analysis of mobile indoor navigation application

Maly, Ivo; Mikovec, Zdenek; Vystrčil, Jan

doi:10.1109/hsi.2010.5514559

Cited by 6 publications

(4 citation statements)

References 1 publication

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“…The time for data synchronization was a maximum of 5 minutes and the speed of annotation corresponded with the findings from our previous studies with the IVE tool [3].…”

Section: Performed Analysismentioning

confidence: 70%

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An evaluation tool for research of user behavior in a realistic mobile environment

Maly

Mikovec

Vystrčil

et al. 2011

Pers Ubiquit Comput

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User behavior is significantly influenced by the surrounding environment. Especially complex and dynamically changing environments (like mobile environment) are represented by a wide variety of extraneous variables, which influence the user behavior in an unpredictable and mostly uncontrolled way. For researchers it is challenging to measure and analyze the user behavior in such environments. We introduce a complex tool -the IVE tool -which provides a unique way of context visualization and synchronization of measured data of various kinds. Thanks to this tool it is possible to efficiently evaluate data acquired during complex usability tests in a mobile environment. The functionality of this tool is demonstrated on the use-case "Navigation of visually impaired users in the building with support of a navigation system called NaviTerier". During the experiment we focused on collection and analysis of data that may show user stress and which may influence his/her ability to navigate. We analyzed objective data like Galvanic Skin Response parameter (GSR), Heart Rate Variability parameters (HRV) and audio video recordings and also subjective data like the user's subjective stress feeling and observation of the user's behavior.

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“…The time for data synchronization was a maximum of 5 minutes and the speed of annotation corresponded with the findings from our previous studies with the IVE tool [3].…”

Section: Performed Analysismentioning

confidence: 70%

“…The tool was in detail presented in [3]. An advantage of the IVE tool, compared to generic visualization toolkits like VTK, is that it allows quick creation of custom data importers and custom visualization plug-ins synchronized with multimedia files.…”

Section: Analysis and Scientific Evaluation Of Measurementsmentioning

confidence: 99%

An evaluation tool for research of user behavior in a realistic mobile environment

Maly

Mikovec

Vystrčil

et al. 2011

Pers Ubiquit Comput

Self Cite

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“…Task list and the task model skeleton were created using XML transformations and the task descriptions in the task list were added. During the test we have recorded the user interaction using the interaction log recorder and then we have analyzed the data using Interactive Visualization Environment (IVE) tool [7]. IVE is an interactive tool for visual analysis of data from usability studies.…”

Section: Use Case: Web E-mail Client Roundcubementioning

confidence: 99%

Web Applications Usability Testing with Task Model Skeletons

Maly

Mikovec

2010

Human-Centred Software Engineering

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Abstract. Usability testing is technique for analysis of the usability problems of applications, but it requires significant effort to prepare the test and especially to analyze data collected during the test. New techniques such as usage of task models were introduced to improve and speed up the test analysis. Unfortunately, only few applications provide the task model. Therefore, we propose a method and tools for partial reconstruction of the task list and the task model called skeleton. This reconstruction is done from the usability expert's application walkthroughs. The task model skeleton is generated automatically, but it should provide similar information during the usability data analysis as manually created full-scaled task model. In order to evaluate usage of the task model skeleton we conducted a usability study with the web e-mail client Roundcube. Results show that the task model skeleton can be used as a good substitution for the manually created task model in usability testing when full-scaled task model is not available.

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“…One of the first indoor positioning systems that used radio beacons and Received Signal Strength Indicator (RSSI) measurements was the RADAR system developed by Microsoft Research [1]. From that time the problem of indoor positioning and navigation has been widely addressed around the world [2][3][4][5][6][7][8][9][10][11][12][13][14]. Hence maintaining low deployment and maintenance costs is among the most important objectives of the research, majority of the solutions reported in the literature rely on radio signal strength measurements [23][24][25][26][27][28][29][30][31][32].…”

Section: Introductionmentioning

confidence: 99%

Mixed-Mode Wireless Indoor Positioning System Using Proximity Detection and Database Correlation

Wawrzyniak

Korbel

Skulimowski

et al. 2014

Annals of Computer Science and Information Systems

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Abstract-The paper presents a prototype mixed-mode wireless indoor positioning and navigation system. The main goal of the system is to provide accurate and reliable location information for visually impaired users. The system also enables access to location related context information. The radio nodes of the network can operate in two power modes providing basis for both rough and precise user positioning. The paper describes an overview of the system architecture and the user interface suited to the needs of the visually impaired. Then, the details of the implemented positioning methods are presented. Finally, the results of experimental evaluation of positioning accuracy obtained using different classification strategies are discussed.

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Interactive analytical tool for usability analysis of mobile indoor navigation application

Cited by 6 publications

References 1 publication

An evaluation tool for research of user behavior in a realistic mobile environment

An evaluation tool for research of user behavior in a realistic mobile environment

Web Applications Usability Testing with Task Model Skeletons

Mixed-Mode Wireless Indoor Positioning System Using Proximity Detection and Database Correlation

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