Eduardo E. Veas

Eduardo E. Veas
Graz University of Technology | TU Graz · Institute for Interactive Systems and Data Science

Professor

About

88
Publications
33,625
Reads
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1,272
Citations
Citations since 2016
51 Research Items
945 Citations
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Introduction
I create interactive experiences. The first quarter of this century, and pretty much of our future, is shaped by the way we interact with data. We create and consume massive amounts of it. My projects make it easy for people to experience and analyze data. I recruit, mentor and work with talented individuals to create novel interactive data experiences. My group has three lines of research: i) autonomous assistants and personalized guided analytics, ii) knowledge interfaces, iii) immersive and wearable data communication. These topics have in common the need to appeal to perceptual and cognitive abilities of people to encode information in ways they can understand and interact with.
Additional affiliations
June 2013 - present
Know-Center
Position
  • Context-Aware, Personalized Visualizations
Description
  • EEXCESS Enrich the content creation experience by means of context-aware, personalized recommendations. Bring knowledge about culture, education and science to support the content creation/consumption process, making people aware of it when needed.
June 2008 - April 2012
Graz University of Technology
Position
  • Outdoor Augmented Reality for Data Visualization
Description
  • - Outdoor AR, HCI, Visualization - HCI, Collaboration, Awareness Research - Infrastructure development, AR Software - Ergonomics Research, AR Platform Design and Development

Publications

Publications (88)
Conference Paper
An AI-based study on the formation of open-eyes and their effects on the melts Aluminum content under industrial conditions was carried out at the steelworks of voestalpine Stahl Donawitz GmbH. The study focuses on the treatment of the melt while the ladle furnace treatment, including important process steps such as alloying, heating and refining....
Article
In contrast to previous surveys, the present work is not focused on reviewing the datasets used in the network security field. The fact is that many of the available public labeled datasets represent the network behavior just for a particular time period. Given the rate of change in malicious behavior and the serious challenge to label, and maintai...
Article
Vibrotactile skin-reading effectively conveys rich information via vibrotactile patterns, which has gained attention due to recent advancements. However, training to recognize and associate vibrotactile patterns with their meaning is time-consuming and tedious. The conventional training methods use repetitive exposure of the vibrotactile stimuli al...
Preprint
Full-text available
In contrast to previous surveys, the present work is not focused on reviewing the datasets used in the network security field. The fact is that many of the available public labeled datasets represent the network behavior just for a particular time period. Given the rate of change in malicious behavior and the serious challenge to label, and maintai...
Preprint
Full-text available
Deep learning models have recently demonstrated remarkable results in a variety of tasks, which is why they are being increasingly applied in high-stake domains, such as industry, medicine, and finance. Considering that automatic predictions in these domains might have a substantial impact on the well-being of a person, as well as considerable fina...
Preprint
Full-text available
Model based reinforcement learning (MBRL) uses an imperfect model of the world to imagine trajectories of future states and plan the best actions to maximize a reward function. These trajectories are imperfect and MBRL attempts to overcome this by relying on model predictive control (MPC) to continuously re-imagine trajectories from scratch. Such r...
Chapter
Restoration of grasping has the highest priority for people with cervical spinal cord injury (SCI). This chapter describes the non-invasive brain–computer interface (BCI)-controlled grasp neuroprosthesis developed within the European Horizon 2020 project MoreGrasp. Based on former projects of the collaborators, several innovative technologies were...
Article
Full-text available
Motorsports have become an excellent playground for testing the limits of technology, machines, and human drivers. This paper presents a study that used a professional racing simulator to compare the behavior of human and autonomous drivers under an aggressive driving scenario. A professional simulator offers a close-to-real emulation of underlying...
Chapter
Internet of Things (IoT) enables the creation of sensing and computing machines to enhance the level of continuous adaptation and support provided by intelligent systems to humans. Nevertheless, these systems still depend on human intervention, for example, in maintenance and (re)configuration tasks. To this measure, the development of an Adaptive...
Conference Paper
Labeling a real network dataset is specially expensive in computer security, as an expert has to ponder several factors before assigning each label. This paper describes an interactive intelligent system to support the task of identifying hostile behaviors in network logs. The RiskID application uses visualizations to graphically encode features of...
Article
In the field of network security, the process of labeling a network traffic dataset is specially expensive since expert knowledge is required to perform the annotations. With the aid of visual analytic applications such as RiskID, the effort of labeling network traffic is considerable reduced. However, since the label assignment still requires an e...
Conference Paper
Full-text available
Proficiency in any form of reading requires a considerable amount of practice. With exposure, people get better at recognising words, because they develop strategies that enable them to read faster. This paper describes a study investigating recognition of words encoded with a 6-channel vibrotactile display. We train 22 users to recognise ten lette...
Article
Information-seeking tasks with learning or investigative purposes are usually referred to as exploratory search. Exploratory search unfolds as a dynamic process where the user, amidst navigation, trial and error, and on-the-fly selections, gathers and organizes information (resources). A range of innovative interfaces with increased user control ha...
Article
We present a visual interface for communicating the internal state of a coffee machine via a tree metaphor. Nature-inspired representations have a positive impact on human well-being. We also hypothesize that representing the coffee machine as a tree stimulates emotional connection to it, which leads to better maintenance performance. The first stu...
Preprint
Full-text available
This paper explores the use of reinforcement learning (RL) models for autonomous racing. In contrast to passenger cars, where safety is the top priority, a racing car aims to minimize the lap-time. We frame the problem as a reinforcement learning task with a multidimensional input consisting of the vehicle telemetry, and a continuous action space....
Conference Paper
Full-text available
This paper proposes methods of optimising alphabet encoding for skin reading in order to avoid perception errors. First, a user study with 16 participants using two body locations serves to identify issues in recognition of both individual letters and words. To avoid such issues, a two-step optimisation method of the symbol encoding is proposed and...
Article
Full-text available
Digital libraries and services enable users to access large amounts of data on demand. Yet, quality assessment of information encountered on the Internet remains an elusive open issue. For example, Wikipedia, one of the most visited platforms on the Web, hosts thousands of user-generated articles and undergoes 12 million edits/contributions per mon...
Conference Paper
Full-text available
Previous research has demonstrated the feasibility of conveying vibrotactile encoded information efficiently using wearable devices. Users can understand vibrotactile encoded symbols and complex messages combining such symbols. Such wearable devices can find applicability in many multitasking use cases. Nevertheless, for mul-titasking, it would be...
Conference Paper
Full-text available
This paper investigates the effects of using passive haptic learning to train the skill of comprehending text from vibrotactile patterns. The method of transmitting messages, skin-reading, is effective at conveying rich information but its active training method requires full user attention, is demanding, time-consuming, and tedious. Passive haptic...
Poster
Full-text available
Sensory substitution has been a research subject for decades, and yet its applicability outside of the research is very limited. Thus creating scepticism among researchers that a full sensory substitution is not even possible [8]. In this paper, we do not substitute the entire perceptual channel. Instead, we follow a different approach which reduce...
Conference Paper
https://dl.gi.de/handle/20.500.12116/16823 The project Flexible Intralogistics for Future Factories (FlexIFF) conducts research into human robot collaboration for intralogistics teams in the electronics manufacturing industry. These teams are creating a cyber-physical system out of human workers, mobile manipulators, manufacturing machinery, and m...
Conference Paper
Full-text available
We developed a new concept to improve the efficiency of visual analysis through visual recommendations. It uses a novel eye-gaze based recommendation model that aids users in identifying interesting time-series patterns. Our model combines time-series features and eye-gaze interests, captured via an eye-tracker. Mouse selections are also considered...
Article
This article describes a novel visual metaphor to communicate the sensor information of a connected device. The Internet of Things (IoT) aims to extend sensing and computing capabilities to every device. A byproduct of this is that even domestic machines become increasingly complex and more difficult to understand and maintain.
Conference Paper
Full-text available
This paper aims to identify self-regulation strategies from students' interactions with the learning management system (LMS). We used learning analytics techniques to identify metacognitive and cognitive strategies in the data. We define three research questions that guide our studies analyzing i) self-assessments of motivation and self regulation...
Conference Paper
Full-text available
Information-seeking tasks with learning or investigative purposes are usually referred to as exploratory search. Exploratory search unfolds as a dynamic process where the user, amidst navigation, trial-and-error and on-the-fly selections, gathers and organizes information (resources). A range of innovative interfaces with increased user control hav...
Conference Paper
Full-text available
Vibrotactile skin-reading uses wearable vibrotactile displays to convey dynamically generated textual information. Such wearable displays have potential to be used in a broad range of applications. Nevertheless, the reading process is passive, and users have no control over the reading flow. To compensate for such drawback, this paper investigates...
Article
Full-text available
Whenever users engage in gathering and organizing new information, searching and browsing activities emerge at the core of the exploration process. As the process unfolds and new knowledge is acquired, interest drifts occur inevitably and need to be accounted for. Despite the advances in retrieval and recommender algorithms, real-world interfaces h...
Conference Paper
Full-text available
More and more learning activities take place online in a self-directed manner. Therefore, just as the idea of self-tracking activities for fitness purposes has gained momentum in the past few years, tools and methods for awareness and self-reflection on one's own online learning behavior appear as an emerging need for both formal and informal learn...
Conference Paper
Full-text available
This paper investigates sensitivity based prioritisation in the construction of tactile patterns. Our evidence is obtained by three studies using a wearable haptic display with vibrotactile motors (tactors). Haptic displays intended to transmit symbols often suffer the tradeoff between throughput and accuracy. For a symbol encoded with more than on...
Conference Paper
Full-text available
Haptic displays are commonly limited to transmitting a discrete set of tactile motives. In this paper, we explore the transmission of real-valued information through vibrotactile displays. We simulate spatial continuity with three perceptual models commonly used to create phantom sensations: the linear , logarithmic and power model. We show that th...
Conference Paper
In today's digital age with an increasing number of websites, so-cial/learning platforms, and diierent computer-mediated communication systems, nding valuable information is a challenging and tedious task, regardless from which discipline a person is. However , visualizations have shown to be eeective in dealing with huge datasets: because they are...
Conference Paper
In our research we explore representing the state of production machines using a new nature metaphor, called BioIoT. The underlying rationale is to represent relevant information in an agreeable manner and to increase machines' appeal to operators. In this paper we describe a study with twelve participants in which sensory information of a coffee m...
Conference Paper
Full-text available
A video tutorial effectively conveys complex motions, but may be hard to follow precisely because of its restriction to a predetermined viewpoint. Augmented reality (AR) tutorials have been demonstrated to be more effective. We bring the advantages of both together by interactively retargeting conventional, two-dimensional videos into three-dimensi...
Conference Paper
Full-text available
Knowledge work such as summarizing related research in preparation for writing, typically requires the extraction of useful information from scientific literature. Nowadays the primary source of information for researchers comes from electronic documents available on the Web, accessible through general and academic search engines such as Google Sch...
Conference Paper
Full-text available
Innovations in digital libraries and services enable users to access large amounts of data on demand. Yet, quality assessment of information encountered on the Internet remains an elusive open issue. For example, Wikipedia, one of the most visited platforms on the Web, hosts thousands of user-generated articles and undergoes 12 million edits/contri...
Conference Paper
This paper presents a graphical interface to identify hostile behavior in network logs. The problem of identifying and labeling hostile behavior is well known in the network security community. There is a lack of labeled datasets, which make it difficult to deploy automated methods or to test the performance of manual ones. We describe the process...
Conference Paper
Full-text available
In our goal to personalize the discovery of scientific information, we built systems using visual analytics principles for exploration of textual documents [1]. The concept was extended to explore information quality of user generated content [2]. Our interfaces build upon a cognitive model, where awareness is a key step of exploration [3]. In educ...
Article
Visualizations have a distinctive advantage when dealing with the information overload problem: because they are grounded in basic visual cognition, many people understand them. However, creating proper visu- alizations requires specific expertise of the domain and underlying data. Our quest in this paper is to study methods to suggest appropriate...
Poster
Full-text available
This paper presents and discusses the technical concept of a virtual reality version of the Sokoban game with a tangible interface. The underlying rationale is to provide spinal-cord injury patients who are learning to use a neuroprosthesis to restore their capability of grasping with a game environment for training. We describe as rel- evant eleme...
Poster
Full-text available
The movement towards cyberphysical systems and Industry 4.0 promises to imbue each and every stage of production with a myr- iad of sensors. The open question is how people are to comprehend and interact with data originating from industrial machinery. We propose a metaphor that compares machines with natural beings that appeal to people by represe...
Conference Paper
Full-text available
This paper investigates the communication of natural language messages using a wearable haptic display. Our research spans both the design of the haptic display, as well as the methods for communication that use it. First, three wearable configurations are proposed basing on haptic perception fundamentals. To encode symbols, we devise an overlappin...
Conference Paper
Full-text available
Especially in lifelong or professional learning, the picture of a continuous learning analytics process emerges. In this process, heterogeneous and changing data source applications provide data relevant to learning, at the same time as questions of learners to data change. This reality challenges designers of analytics tools, as it requires analyt...
Conference Paper
Full-text available
Whenever users engage in gathering and organizing new information , searching and browsing activities emerge at the core of the exploration process. As the process unfolds and new knowledge is acquired, interest drifts occur inevitably and need to be accounted for. Despite the advances in retrieval and recommender algorithms, real-world interfaces...
Conference Paper
Full-text available
Whenever we gather or organize knowledge, the task of searching inevitably takes precedence. As exploration unfolds, it becomes cumbersome to reorganize resources along new interests, as any new search brings new results. Despite huge advances in retrieval and recommender systems from the algorithmic point of view, many real-world interfaces have r...
Conference Paper
Full-text available
An information landscape is commonly used to represent relatedness in large, high-dimensional datasets, such as text document collections. In this paper we present interactive metaphors, inspired in map reading and visual transitions, that enhance the landscape representation for the analysis of topical changes in dynamic text repositories. The goa...
Conference Paper
Full-text available
The ability to analyze and organize large collections, to draw relations between pieces of evidence, to build knowledge, are all part of an information discovery process. This paper describes an approach to interactive topic analysis, as an information discovery conversation with a recommender system. We describe a model that motivates our approach...
Conference Paper
Full-text available
This paper presents a visual interface developed on the basis of control and transparency to elicit preferences in the scientific and cultural domain. Preference elicitation is a recognized challenge in user modeling for personalized recommender systems. The amount of feedback the user is willing to provide depends on how trustworthy the system see...
Conference Paper
Full-text available
Visualizations have a distinctive advantage when dealing with the information overload problem: since they are grounded in basic visual cognition, many people understand them. However, creating them requires specific expertise of the domain and underlying data to determine the right representation. Although there are rules that help generate them,...
Conference Paper
Full-text available
Identifying and using the information from distributed and heterogeneous information sources is a challenging task in many application fields. Even with services that offer well-defined structured content, such as digital libraries, it becomes increasingly difficult for a user to find the desired information. To cope with an overloaded information...
Data
Full-text available
Identifying and using the information from distributed and heterogeneous information sources is a challenging task in many application fields. Even with services that offer well-defined structured content, such as digital libraries, it becomes increasingly difficult for a user to find the desired information. To cope with an overloaded information...
Article
Full-text available
Supporting individuals who lack experience or competence to evaluate an overwhelming amout of information such as from cultural, scientific and educational content makes recommender system invaluable to cope with the information overload problem. However, even recommended information scales up and users still need to consider large number of items....
Conference Paper
Full-text available
Linked Data has grown to become one of the largest available knowledge bases. Unfortunately, this wealth of data remains inaccessi-ble to those without in-depth knowledge of semantic technologies. We describe a toolchain enabling users without semantic technology back-ground to explore and visually analyse Linked Data. We demonstrate its applicabil...
Conference Paper
Full-text available
Providing easy to use methods for visual analysis of Linked Data is often hindered by the complexity of semantic technologies. On the other hand, semantic information inherent to Linked Data provides opportunities to support the user in interactively analysing the data. This paper provides a demonstration of an interactive, Web-based visualisa-tion...
Conference Paper
Full-text available
Linked Data has grown to become one of the largest available knowledge bases. Unfortunately, this wealth of data remains inaccessible to those without in-depth knowledge of semantic technologies. We describe a toolchain enabling users without semantic technology background to explore and visually analyse Linked Data. We demonstrate its applicabilit...
Article
Augmented reality (AR) enables users to retrieve additional information about real world objects and locations. Exploring such location-based information in AR requires physical movement to different viewpoints, which may be tiring and even infeasible when viewpoints are out of reach. In this paper, we present object-centric exploration techniques...
Conference Paper
Full-text available
Graphs are widely used to represent relationships between entities. Indeed, their simplicity in depicting connectedness backed by a mathematical formalism, make graphs an ideal metaphor to convey relatedness between entities irrespective of the domain. However, graphs pose several challenges for visual analysis. A large number of entities or a dens...
Conference Paper
Full-text available
Research papers are published in various digital libraries, which deploy their own meta-models and technologies to manage, query, and analyze scientific facts therein. Commonly they only consider the meta-data provided with each article, but not the contents. Hence, reaching into the contents of publications is inherently a tedious task. On top of...
Conference Paper
Full-text available
In an interconnected world, Linked Data is more important than ever before. However, it is still quite difficult to access this new wealth of semantic data directly without having in-depth knowledge about SPARQL and related semantic technologies. Also, most people are currently used to con- suming data as 2-dimensional tables. Linked Data is by def...