Studies and Experiments

Spring 2017/2018

Autumn 2017/2018

Spring 2016/2017

Autumn 2016/2017

please insert here the entry according to the instructions


Identification of user confusion in a web application

Date: March 2018
Experiment conductor: Michal Hucko, Matej Války
Supervisor: Prof. Ing. Mária Bieliková, PhD.
Short description:
Confusion on the web is a problem connected with web applications. Sometimes apps do not have to be complex to confuse users. Common problems may have newcomers, when accessing the app for the very first time. Ability to identify confusion can help us to give hints to users. These hints can help user to fulfil their needs. Hints can be combined to web application guides.
In our work we identify and predict confusion on web application. We will make a method for this purpose, using logs from the server. Except them we concentrate on user  mouse movements, clicks, scrolling and browsing patterns which describe behaviour. We consider usage of eye-tracker data. Next we apply machine learning methods on gathered data. To confirm our method we will establish an experiment, where we will collect feedback from users. At the moment we are working on selection of appropriate way to collect these feedback. These will be used as labeled data. Our solution can be combined with production systems providing web application guides.
Link to a formal description of the UX experiment: experiment description (In Slovak)


Scanpath Visualization

Date: April 2018
Experiment conductor: Ján Vnenčák
Supervisor: Ing. Róbert Móro, PhD.
Short description:
We use a variety of software products every day, so it is important to make these products intuitive and easy to use. This is one of the reasons why eye tracking has become more popular in recent years. With eye tracking we can easily find where and how the user is looking at visual stimulus. A motivation is to search for patterns or similarities in the recorded data that allow us to identify different user interaction strategies with the interface. One of the methods to find these patterns or similarities is the visualization of eye tracking data.
In our work, we analyzed existing methods of visualization of eye tracking data. We aim to find ones that are capable of supporting specific tasks in a better way then methods already implemented in commercial eye tracking software. Based on our analysis we implemented circular heat map transition diagram visualization method. The result of our work is a tool, which use this technique to visualize eye tracking data. The tool provide adjustment of the displayed data on user’s demand. We want to verify how this method can help in exploratory analysis of eye tracking data.
Link to a formal description of the UX experiment: experiment description (In Slovak)


The impact of images on user`s behavior on Web

Date: March 2018
Experiment conductor: Andrej Zaťko
Supervisor: Ing. Peter Gašpar
Short description:
In our Bachelor thesis we study the potential of the image. There is a great number of information on the Web which is in the form of an image. Especially in online stores, images enrich products with visual aspect, which is crucial for users during the decision. We observe the behavior of the user while displaying text and image information. Recommender systems attempt to suggest items which attract the user. Nowadays, for creating recommendations, mostly text information is used. However, in some cases they can’t describe the properties of the item accurately. Inclusion of images into the output of recommender’s systems seems to be the way to overcome this issue and may lead to an improvement in accuracy of recommendations.  We propose a method for the evaluation of changes in user`s behavior.
Link to a formal description of the UX experiment: experiment description (In Slovak)


Eye tracking the user behavior on the Web

Date: March 2018
Experiment conductor: Martin Svrček
Supervisor: Prof. Ing. Mária Bieliková, PhD.
Short description:
User behavior on the Web is affected by many various effects. Every person behave differently in different situations according their personal traits or states. However, there is also Web itself and especially the usability of the Web, which impact this behavior. Usability is therefore a subject of many studies and usability testing. There are many ways how to measure the usability. Often we are trying to reveal the visual attention of web users to understand their behavior. Nowadays, one of the best methods to reveal the visual attention is by tracking the user eye movement. Eye tracking is very interesting approach, which can help us to evaluate the overall usability of the Web. However, there are many different methods of analyzing the data from eye tracking and simultaneously there is no sufficient research in eye tracking data analysis in area of the user behavior on the Web. Reason for this is that Web is a dynamic environment and most of the actual research is directed only to static inputs like images. Our goal is to analyze the different representations of eye tracking data and different methods of analysis itself in order to determine the impact of usability on user behavior on the web.
Link to a formal description of the UX experiment: experiment description (In Slovak)


Identifying users characteristics by eye tracking analysis

Date: March 2018
Experiment conductor: Mária Dragúňová, Matej Červenka
Supervisor: Mgr. Jozef Tvarožek, PhD.
Short description:
Human individuality reflects on many aspects of our everyday lives and using web applications is not an exception. Problem of variablity between different users and their needs is commonly solved by personalisation to achieve the best possible usability for every user. However, human is a complex being and there are many characteristic, which should be considered when a system adaptation comes to mind. In our work, we analyze some of cognitive characteristics – working memory capacity, visual search and verbal-imagery dimension of cognitive styles. We propose to consider these characteristics when searching in e-catalog, which is a common structure in e-shop applications. Besides analysis of characteristics, we also focus on identifying tasks in e-commerce environment using eye-tracker.
Link to a formal description of the UX experiment: experiment description (In Slovak)


Identification of usability problems on web sites using the eye-tracker

Date: March 2018
Experiment conductor: Martin Šidlo
Supervisor: Ing. Eduard Kuric, PhD.
Short description: Lately, usability is more discussed in the field of information technologies. Creators of the systems realized, that user experience is a huge part of a product and has a significant impact on the usage. The most effective way, how to evaluate websites, is to use user testing methods. Evaluating of such methods is a long-lasting process. Goal of this work is to shorten this time and suggest potential usability problems without a need of evaluating each user separately. In our work, we want to create models to predict such problems on a website, based on its components. In order to be able to build it, we need to train them. For this purpose, we have to gain enough data. We are using approach of a previous work of Pang et al. [1]. They have been directing user visual flow on a website. We want to use this approach with some modification and user labeling according to their cognitive abilities in order to automatically identify usability problems on websites.
Link to a formal description of the UX experiment: experiment description (In Slovak)


Detection of User’s Intent on the Web based on Eye-tracking Method

Date: March 2018
Experiment conductor: Ondrej Kipila
Supervisor: Ing. Jakub Šimko, PhD.
Short description:
The characteristics of the user are are very useful information in information systems. If the information system is able to automatically detect the user’s characteristics (eg. mood, interest, fatigue, personality characteristics, capacity short-term memory), can use this information to adapt its functionality in such a way that as far as possible meet the needs of the user. An example would be automatic content recommendation. Another option is the use of prediction of his other activities and results in the system.
One way of identifying a characteristic of a user uses the tracking of user activity in the system (eg. Clicks, scrolling, text entry). Records of these activities can be further combined with monitoring a user’s perspective in the implementation of these activities. Other data usable to create a user model is the size of the pupil.
In this master’s thesis we deal with the prediction of the user’s intention (goal) when working with a web page, namely when working with an online shop. The aim of this thesis is to create a predictive model that analyzes the behavior and the user’s sight and predicts the intent in real time.
Link to a formal description of the UX experiment: experiment description (In Slovak)


User experience with web browsing, and the usage of control devices

Date: February 2018
Experiment conductor: Ján Trimel
Supervisor: Ing. Peter Krátky
Short description: In this experiment we are going to develop a method of estimating user’s skill in web browsing using data from monitoring the mouse and the keyboard. We determine the user’s level of experience using questionnaires. Then we find a common pattern for experienced and novice users from their mouse, keyboard usage and visual fixation.
Link to a formal description of the UX experiment: experiment description (In Slovak)


Analysis of influence  of different types of dataset to express the intensity of emotion

Date: February 2018
Experiment conductor: Adam Strásky
Supervisor: Ing. Róbert Móro, PhD.
Short description:
When we recognize emotions using a webcam, we often look at emotions only during usability testing. We often do not recognize the extent to which individuals express their emotions and how these tools are accurate because we can not determine plausibility on the basis of comparison with the basic expression of emotions. The goal of the experiment is to obtain a range of emotions with varying degrees of differentiation and to determine if during the test the emotions will be captured to correspond with the expected results.
Experiment design consists of an initialization dataset, where the stimulus will consist of images, music clips and videos. We will try to create a stimulus scale for this participant and then perform a usability test. Finally, we will use retrospective verbal protocol with each participant to refine the results.
Link to a formal description of the UX experiment: experiment description (In Slovak)


Eye Tracking Using Deep Neural Networks

Date: February 2018
Experiment conductor: Patrik Gajdošík
Supervisor: doc. Ing. Vanda Benešová, PhD.
Short description:
Eye tracking offers valuable insight in the fields of usability and user experience. However, in order to perform a study where the users’ gaze is being recorded, specialized hardware, eye trackers, are needed, which limits the span of such studies and renders them expensive and time consuming. In order to solve this issue, recent studies focus on using the ordinary web-cameras that are available on most of the today’s mobile devices. Some papers, such as ours, employ convolutional neural networks. The problem is that the variance of images shown to these networks during training is very high and we also cannot easily perform calibration as in the majority of eye tracking solutions. In our work, we focus on exploring the ways in which to alleviate the task for the neural network. We train and evaluate our models on existing datasets as well as on data gathered by proper eye tracker.
Link to a formal description of the UX experiment: experiment description (In Slovak)


Analysis of source code reading

Date: February 2018
Experiment conductor: Matúš Tundér
Supervisor: Mgr. Jozef Tvarožek, PhD.
Short description:
The main aim of this thesis is to determine, how the order of functions in the source code will affect the program comprehension while reading a source code, but also the way of reading itself. In experiments, programmers will read two types of source codes. The first one, where the main function is on the top and the second one, where the main function is on the bottom of the source code. Experiments are taking place in UX lab at the faculty. The effect of the functions’ layout is determined by scanning the information about gaze while reading the source code. To make programmers study the whole source code, there was the task given to them to find errors in the source code.
Link to a formal description of the UX experiment: experiment description (In Slovak)


Analysis of Influcence of Visual Stimuli on Movies Selection

Date: January 2018
Experiment conductor: Peter Gašpar
Supervisor: prof. Mária Bieliková, Dr. Michal Kompan
Short description:
In several domains, items can be represented using not only using the text but also by multimedia, specically images. Images and corresponding visual stimuli may affect user during the web navigational tasks, such as clicking activity in the list of items. In such a list, a user feedback is currently interpreted most commonly from the clicking activity, such that when a user clicks the n-th item in a list, all the previous items are considered not to be relevant for him.
In our work, we study how visual stimuli can be used in recommendation process. We analyze how visual stimuli should be considered during the analysis of user behavior in the results of recommendations and how the user’s behavior should be properly interpreted if the images are present there.
Link to a formal description of the UX experiment: experiment description (In Slovak)


The relation of gaze fixations and user’s skill in the digital space

Date: November 2017
Experiment conductor: Ján Hanko
Supervisor: Ing. Patrik Hlaváč
Short description:

Today, the web is a regular part of almost every household. Since not everyone has the same experience with its use, it is important to adapt and facilitate its usability. However, usage depends not only on the experience, but also on the general characteristics of the user. In our case, we focus on his spatial capabilities, that is, as he thinks, perceives and remembers information related to objects and space, from which we derive his spatial cognitive style. This is based on the Spatial Cognitive Style Test (SCST), because we can compare real-space orientation to web navigation, as the web is also considered as a type of space.
Our goal is to explore ways of navigation for users with different cognitive styles. Therefore, we want to identify the differences in the way of navigation, the problems associated with individual ways and to determine to what extent the web navigation is influenced by the spatial cognitive style of the user.
Link to a formal description of the UX experiment: experiment description (In Slovak)


Identification of the user familiarity with Web domain, based on patterns in eyetracking data

Date: November 2017
Experiment conductor: Martin Mokrý
Supervisor: Ing. Róbert Móro, PhD.
Short description:

Identification of repeating patterns from eye tracking data (patterns like sequences of fixations, saccades or areas of interest) is considered to be an important step in eye tracking analysis. Its main focuses are: explanation of recorded interaction, comparison of ways, in which different users interact or clustering of user based on their similarity. This can be used in evaluation of recorded interaction (UX testing) or customization of graphical interface based on identified situation (pattern). This situation e.g. systematic scanning of web page can imply unfamiliarity of user with specific web page. On the other hand, reoccurrences of a similar situation can imply activities of skilled user.
In our work we focus on automatic identification of patterns in scanpaths in eye tracking data, related to  level of user’s familiarity. First phase consists of identifying proper features of fixations, saccades, pupils and head distance (features not task-related and with high frequency of occurrences) and analysis of methods for creating common scanpaths and quantification of similarities between scanpaths.
Goal of second phase is to implement machine learning model for automatic identification of user familiarity with e-shop. Model will take as input basic eye-tracking features and will be extended to use also recurrence, reoccurrence metrics and metrics calculated by similarity of scanpaths to common scanpath.
Link to a formal description of the UX experiment: experiment description (In Slovak)


Automatic recognition of user characteristics

Date: November 2017
Experiment conductor: Martina Redajová
Supervisor: Ing. Jakub Šimko, PhD.
Short description:

This work uses eye movement behavioral scores as a metric for fatigue recognition. We believe that using the method of tracking user’s eye gaze and tracking behavioral scores has a great potential as a method for detecting fatigue.
During the verification phase, we plan to focus on refining the results of previous research and performing experiments to verify selected methods, as we discovered several shortcomings in this method. In case of positive results, we plan to design and apply our method in a real life framework for automated learning of user’s fatigue.
Link to a formal description of the UX experiment: experiment description (In Slovak)


The relation of gaze fixations and user’s skill in the digital space

Date: November 2017
Experiment conductor: Jakub Kubanyi
Supervisor: Ing. Patrik Hlaváč
Short description:

Many information systems use very detailed information about its users for improvement or innovation purposes. Nowadays, statistics of user access and user preferences are used to fulfill these purposes. The other useful information can be user’s skill in the digital space as well. This experiment is focused on analyzing possibilities
of user’s skill determination based on eye-tracker data. When It comes to user’s skill, We have focused on web literacy. The search skill to find, access and evaluate specific information. Research also includes relations in current systems and possibilities of user classification based on their search skills. In this experiment, We have prepared several search-based tasks and we will be examing how participants search for the specific information during the process.
Link to a formal description of the UX experiment: experiment description (In Slovak)


Visual attention and saliency mapping on web page elements

Date: November 2017
Experiment conductor: Dániel Papp
Supervisor: Ing. Jakub Šimko, PhD.
Short description:

In this experiment, we will use eyetracking for identification respectively for capturing the position of significant elements on the web site.
The knowledge of salient parts of a web page could offer several benefits for web page designers and users as well. If we know what parts of the web page people use to recognize previously seen pages, we could create compact visual representations of web pages that contain only these most relevant areas.
Web page designers could also benefit from a model of visual attention to improve page layout and design, e.g., arranging page elements in such a way that users’ attention is focused on the aspects that the author considers most important.

Link to a formal description of the UX experiment: experiment description (In Slovak)


Personalized search by using eye tracking to better identifying the user query

Date: November 2017
Experiment conductor: Filip Šandor
Supervisor: Ing. Eduard Kuric, PhD.
Short description:

Our goal is to improve the method of calculating user interest.
This article counts user’s interests based on the number of views per word. This calculation should be expanded by viewing metrics. We believe we will achieve a more accurate representation of user interest by correctly incorporating multiple viewing metrics.
In the second part of the experiment, we will monitor user behavior when viewing offers and then count on his interest in individual offers. Finally let provide him offer according to his expectations and compare the answer to our calculations and see how much our algorithm is accurate.
Link to a formal description of the UX experiment: experiment description (In Slovak)


Facial engagement recognition using sequential analysis

Date: October 2017
Experiment conductor: Viktor Košťan
Supervisor: doc. Ind. Vanda Benešová, PhD.
Short description:
This experiment aims to create a dataset for engagement recognition model. The dataset will consist of videos of participants in three different states – engagement, mind wandering, disengagement; during text reading and video viewing activities. The project also aims to explore use of sequential analysis in order to distinguish between engagement and mind wandering states.
Link to a formal description of the UX experiment: experiment description (In Slovak)


Eye-tracking of user while reading source codes

Date: October 2017
Experiment conductor: Matúš Gáspár
Supervisor: Martin Konôpka
Short description:
Goal of this experiment is, to set up everything that we need for further testing with eye-tracker on other users while whole semester. We are going to check their eye movements while reading several codes with or without common conventions in them.
Link to a formal description of the UX experiment: experiment description (In Slovak)


Identification of emotions by eyetracking in relation to self-criticism

Date: October 2017
Experiment conductor: Bronislava Strnádelová (FSaEV UK)
Supervisor: doc. Mgr. Júlia Kanovská Halamová, PhD (FSaEV UK)
Short description:
The current pilot study will explore the relationship between self-criticism and face scanning patterns while recognizing photos of primary emotions. Participants will  complete Forms of Self-Criticising/ Attacking & Self-Reassuring Scale and a face recognition task while their eye movements will be  recorded by a Tobii X2 60 eye trackers. Participant´s eye movements and fixation on faces will be tracked by static images (photos from The Umeå University Database of Facial Expressions) of people representing primary-universal emotions (anger, fear, sadness, surprise, joy, disgust, and neutral). There will be 42 photos presented randomly on the screen, as the set includes both men and women in three age groups (about 25 years, 45 years and 65 years). Apart from watching pictures, participants will be asked what emotion on the picture is. The results are important for understanding the role of self-criticism in relation to emotions and their scanning patterns. It can be used for diagnostic purposes and developing as well as evaluation of the interventions for highly self-critical people.
Link to a formal description of the UX experiment: experiment description (In Slovak)

 


Individual differences in eye movements by solving creative tasks

Date: April 2017
Experiment conductor: Anton Heretik, Viktor Svetský, Róbert Móro, Tomáš Juhaniak
Short description: Our research replicates the study of Agnoli et al. (2015). The goal was to replicate the original study and to extend it by (1) the use of Temperament & Character Inventory – Revised questionnaire (140 items; TCI-R) and by (2) implementation of a tool for detection of cognitive load of participants during task solving. The solution was a part of the Experimental research course at the Department of Psychology FiF UK. The research was carried out as a part of the APVV project HIBER.
Link to a formal description of the UX experiment: experiment description (In Slovak)


Multiplayer game based on eye tracking

Date: April 2017
Experiment conductor: Michal Baňas
Supervisor: Jozef Tvarožek
Short description: The aim of the project is to create a prototype of a software application, with which then the usability of this app will be tested using EyeTracker in our faculty’s user experience and interaction research centre. The app is a multiplayer game, that can be controlled using several ways (mouse, keyboard, gaze control). The EyeTracker device will monitor and record user’s gaze during the whole playtime and then the app will evaluate all the information to find out, what is more interesting and attractive to user and what part of the game does the player focus on the most. Whilst playing, the user can collect multiple bonuses, that can help or harm him or his opponent. Using this, we can assume, whether the user has more attacking style of the game or the defensive one. I would also like to explore different versions or levels of the game with different distribution of the elements to find out, which one is the most natural to the user.
Link to a formal description of the UX experiment: experiment description (In Slovak)


How source code comprehension differs with or without the use of code conventions

Date: April 2017
Experiment conductor: Matúš Gáspár
Supervisor: Ing. Martin Konôpka
Short description: Reading of source code is a specific thing, especially when the code does not use recommended conventions. I will try to experiment with eye-tracker for the first time. I will read the source code with conventions and without them and analyse my behaviour while reading the code.
Link to a formal description of the UX experiment: experiment description (In Slovak)


Content-aware eye movement analysis in online programming

Date: April 2017
Experiment conductor: Ondrej Antl
Supervisor: Jozef Tvarožek
Short description: In our project we are working on method for automatic assigning fixations to areas of interest. These AOIs we create according to knowledge about source code, which is located on visual stimulus. During experiment we want to gather data which we will use for verification of precision of our method.
Link to a formal description of the UX experiment: experiment description (In Slovak)


Suitability evaluation of proposed visualizations in the context of educational application

Date: April 2017
Experiment conductor: Lukáš Meňhert
Supervisor: prof. Ing. Mária Bieliková, PhD.
Short description: Goal of this experiment is to evaluate usability of designed visualizations for students. The data visualized comes from ALEF web application. Users can always inspect live data so they are able to see how they impact their data model by interaction with ALEF. The experiment is based on monitoring users during their interaction with proposed visualizations. We want to confirm intuitiveness, if we reached goals that motivated each visualization and gather feedback from students, that will help us further in bettering our application.
Link to a formal description of the UX experiment: experiment description (In Slovak)


Visual goal searching

Date: April 2017
Experiment conductor: Šimon Dekrét
Supervisor: Ing. Patrik Polatsek
Short description: Human’s brain receives every second great amount of information. Major part of the information comes from visual system. Such amount of bits would not be processed without previous filtering. The filter is provided with visual attention which is the main factor for being able to perceive effectively and in real time our surroundings. Our experiment will be focused on study of the visual attention. Bottom-up attention will be observed thanks to basic object photos. The top-down attention will be observed thanks to more complicated photos containing more objects. Goal of the observer will be to find the questioned object. Based on this results, we will be able to design new model for visual searching.
Link to a formal description of the UX experiment: experiment description (In Slovak)


Identification of the user skill on the Web based on patterns in eye-tracking data

Date: March 2017
Experiment conductor: Martin Mokrý
Supervisor: Ing. Róbert Móro
Short description: In our work we focus on automatic identification of patterns in scanpaths in eye tracking data, related to domain skill level of user. First phase consists of identifying proper features of fixations and saccades (features not task-related and with high frequency of occurrences) and analysis of methods for creating commons scanpaths and quantification of similarities between scanpaths. Goal of second phase is to implement machine learning model capable of automatic identification of domain skill level of user using just first few seconds of interaction.
Link to a formal description of the UX experiment: experiment description (In Slovak)


Determination of the eye-catching parts in graphical interfaces

Date: March 2017
Experiment conductor: Patrik Beka
Supervisor: Ing. Márius Šajgalík
Short description: The purpose of project is to design neural network, that is capable of predicting eye-catching parts of web pages, just from the screenshot. It is closer described (or it will be) in my bachelor thesis. Neural network requires lots of relevant data for training, the more the better. Proposed experiment is simply and not long. 30 web pages of different kind will be shown to the participants (each for 5 seconds). Their task will be to memorize layout and content, because people are used to just quickly “scan“ the web page, but if they should memorize something, they tend to focus on multiple features. Our purpose in this experiment is to gain the sequence of views with durations, alternatively generated heatmaps.
Link to a formal description of the UX experiment: experiment description (In Slovak)


User experience with web browsing, and the usage of control

Date: March 2017
Experiment conductor: Ján Trimel
Supervisor: Ing. Peter Krátky
Short description: Short description: In this experiment we are going to develop a method of estimating user’s skill in web browsing using data from monitoring the mouse and the keyboard. We determine the user’s level of experience using questionnaires. Then we find a common pattern for experienced and novice users from their mouse, keyboard usage and visual fixation.
Link to a formal description of the UX experiment: experiment description (In Slovak)


Identifying cognitive load

Date: March 2017
Experiment conductor: Tomáš Juhaniak, Lukáš Rešutík
Supervisor: prof. Ing. Mária Bieliková, PhD.
Short description: Identifying cognitive load can help in measuring the load induced by the application interface. In this experiment, we use two methods to identify cognitive load. The first method uses a dual-task  which participants of experiment performed two tasks. The second method measures the absolute pupil dilation.
Link to a formal description of the UX experiment: experiment description (In Slovak)


The impact of movement on visual attention

Date: March 2017
Experiment conductor: Alexander Pajkoš
Supervisor: Ing. Patrik Polatsek
Short description: The aim of this thesis is to expand knowledge on the impact of moving objects for human attention. These knowledge we can take advantage in for example, to predict the movement of the object, which can be used mainly in a variety of security systems and so on. Furthermore, the model used to explain briefly.
Link to a formal description of the UX experiment: experiment description (In Slovak)


The impact of color on visual attention

Date: March 2017
Experiment conductor: Daniel Nechala
Supervisor: Ing. Patrik Polatsek
Short description: Our surroundings consists of a variety of visual stimuli, such as intensity, color, orientation and movement. The human brain is not capable of handling all the stimuli at once, so it helps visual attention with the decision on which parts of the scene should the spectator focus his vision and subject them to detailed analysis. The methods which aim to predict visual stimulus-driven attention create maps which are known as saliency maps. These maps have a wide range of applications, such as robotics, security systems, image and video processing, and in medicine.
Link to a formal description of the UX experiment: experiment description (In Slovak)


Eye tracking data visualizations

Date: March 2017
Experiment conductor: Filip Mrocek
Supervisor: doc. Ing. Vanda Benešová, PhD.
Short description: The aim of this thesis is to analyze and test a tool for automatic postage stamps recognition.Users can help us to detect issues with user interface which can be then removed to achieve better user experience.
Link to a formal description of the UX experiment: experiment description (In Slovak)


Eye tracking data visualizations

Date: March 2017
Experiment conductor: Ronald Demeter
Supervisor: Ing. Jakub Šimko, PhD.
Short description: Nowadays eye tracking is becoming the primary method used to gather data about user experience and discovering flaws in them. These data give us a general idea about where and how the user searches for information, thanks to  these information we can create more effective and useful designs. For these reason quality data visualizations are the cornerstones of creating them.
Link to a formal description of the UX experiment: experiment description (In Slovak)


Eye tracking of examining the search interface in electronic information resources

Date:  February 2016
Experiment conductor: Dominika Sallemová (FiF UK)
Supervisor: Mgr. Katarína Buzová, PhD.

Short description: An eye tracking experiment is focused on exploring the information search and information retrieval interface in electronic information resources. The experiment looks for differences between the way users search for information under the time stress and when not time-stressed. The experiment represents the practical part of diploma thesis. The diploma thesis uses both synthetic and analytical method to describe information search and information retrieval in electronic information resources (such as digital libraries etc.) on the ground of the research literature available within this field. The diploma thesis focuses on the user interface of these electronic information aiming to monitor users behavior within given electronic information resources as well as to describe the users needs and wants.

Link to a formal description of the UX experiment: experiment description (In Slovak)


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