Sebastian Heil

Sebastian Heil
Technische Universität Chemnitz · Department of Computer Science

Dr.-Ing.

About

39
Publications
10,083
Reads
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191
Citations
Citations since 2016
31 Research Items
169 Citations
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2016201720182019202020212022010203040
2016201720182019202020212022010203040
Additional affiliations
October 2015 - present
Technische Universität Chemnitz
Position
  • Tutor
Description
  • Current Trends in Web Engineering, Tutorial
October 2015 - present
Technische Universität Chemnitz
Position
  • Tutor
Description
  • Software Service Engineering, Tutorial
October 2014 - present
Technische Universität Chemnitz
Position
  • Tutor
Description
  • XML, Tutorial
Education
October 2015 - September 2020
Technische Universität Chemnitz
Field of study
  • Computer Science
October 2010 - September 2012
Technische Universität Chemnitz
Field of study
  • Data & Web Engineering
October 2007 - October 2010
Technische Universität Chemnitz
Field of study
  • Computer Science

Publications

Publications (39)
Chapter
Full-text available
The main principles for designing successful UIs in a perfect world have long been known—considering many possible solutions for a problem and involving representative users in the process. In practice, however, reasons for violating those principles can be plentiful: the infamous tight budgets and schedules, lack of management buy-in, restrictions...
Chapter
Full-text available
Deep Learning techniques have become the mainstream and unquestioned standard in many fields, e.g. convolutional neural networks (CNN) for image analysis and recognition tasks. As testing and validation of graphical user interfaces (GUIs) is increasingly relying on computer vision, CNN models that predict such subjective and informal dimensions of...
Presentation
Full-text available
Knowledge and technology transfer between an academic institution and partners in the economy has gained importance in recent years. Universities seek to increase the visibility of their research activities and offered services, whereas business companies primarily focus on available expertise and services. In the past, this information was provide...
Chapter
Full-text available
Web Engineering becomes increasingly hungry for training data, as the application of machine learning (ML) methods in the field intensifies. Human-labeled datasets are particularly indispensable for ML-based validation and design of user interfaces (UIs). The production of such datasets is often outsourced to crowdworkers, who typically have lower...
Chapter
Full-text available
One of the main challenges in the Internet of Things (IoT) is the lack of semantic interoperability between heterogeneous sources. In the Semantic Web domain, ontologies are one way to achieve semantic interoperability by using a common vocabulary that represents heterogeneous sources. However, recent studies have shown that the amount of concept r...
Preprint
Full-text available
HCI increasingly employs Machine Learning and Image Recognition, in particular for visual analysis of user interfaces (UIs). A popular way for obtaining human-labeled training data is Crowdsourcing, typically using the quality control methods ground truth and majority consensus, which necessitate redundancy in the outcome. In our paper we propose a...
Conference Paper
Full-text available
One of the main challenges of the Internet of Things (IoT) is to enable end-users without technical experience to use, control or monitor smart devices. However, enabling end-users to interact with these smart devices in an intuitive and natural way becomes increasingly important as they become more pervasive in our homes, workplaces and public env...
Article
Full-text available
User behavior models see increased usage in automated evaluation and design of user interfaces (UIs). Obtaining training data for the models is costly, since it generally requires the involvement of human subjects. For interaction's subjective quality parameters, like aesthetic impressions, it is even inevitable. In our paper, we study applicabilit...
Chapter
Full-text available
The main objective of smart homes is to improve the quality of life and comfort of their inhabitants through automation systems and ambient intelligence. Voice-based interaction like dialogue systems is the current emerging trend in these systems. Natural Language Understanding (NLU) model can identify the end-users’ intentions in the utterances pr...
Conference Paper
Full-text available
Analysis of user interfaces (UIs) based on their visual representation (screenshots) is gaining increasing popularity, institutionalizing the HCI vision field. Witnessing the same visual appearance of a UI like a human user provides the advantage of taking into account layouts, whitespace, graphical content, etc. independent of the concrete platfor...
Chapter
Full-text available
This article details the idea of Crowdsourced Reverse Engineering (CSRE) by analysing three major challenges: (1) automatic task extraction, (2) source code anonymization and (3) results aggregation and quality control. We re-formulate the Reverse Engineering activity of concept assignment as a crowdsourced classification task to exemplify these ch...
Article
Full-text available
We present a software tool for collecting web UI metrics from different providers and integrating them in a single database for further analysis. The platform’s architecture supports both code- and image-based UI assessment, thus allowing to combine advantages of the two approaches. The data structures are based on a web UI measurement domain ontol...
Article
The Internet of Things (IoT) primary objective is to make a hyper-connected world for various application domains. However, IoT suffers from a lack of interoperability leading to a substantial threat to the predicted economic value. Schema.org provides semantic interoperability to structure heterogeneous data on the Web. An extension of this vocabu...
Chapter
Full-text available
Internet of Things (IoT) applications incorporate heterogenous smart devices that support different communication protocols (Zigbee, RFID, Bluetooth, custom protocols). Enabling application development employing different protocols require interoperability between the different types of heterogenous devices that co-exist in the IoT ecosystem. In th...
Article
Full-text available
Metric-based assessment of web user interface (WUI) quality attributes is shifting from code (HTML/CSS) analysis to mining webpages’ visual representations based on image recognition techniques. In our paper, we describe a visual analysis tool which takes a WUI screenshot and produces structured and machine-readable representation (JSON) of the int...
Conference Paper
Full-text available
Semantic web technologies are a major driver for semantic interoperability in IoT-generated data by using shared vocabularies in an ontology-driven approach. While there is a growing interest in standardization of ontologies for IoT, there is still a lack of common agreement for a specific IoT ontology. Numerous concepts and relations have been des...
Conference Paper
Full-text available
Users' subjective impressions of websites are actively being researched, as they are formed very early in the interaction and affect the whole subsequent user experience. The subjective visual complexity is known to affect both website users' cognitive load and overall affective impressions. In our work we construct artificial neural network model...
Article
Full-text available
Most techniques for webpage structure and design mining are based on code analysis and are detached from a human user’s perception of the web user interface (WUI). Our paper is dedicated to approaches that instead focus on analysis of webpage’s visual representation – the way it is rendered in different browsers and environments and delivered to th...
Chapter
Full-text available
Empowering end users to develop web applications for temporal needs is a well-researched web engineering challenge. Increasing usability, lowering the learning overhead and minimizing the gap between user’s intention and the provided solution are the ultimate goals of EUD practices. In this paper, we propose an architecture which addresses these ch...
Conference Paper
Full-text available
Ensuring similarity of user interfaces (UI) is often desirable, e.g. in software migration and redesign projects, to minimize experience disruption for regular users and increase subjective satisfaction with new versions. In our paper we explore applicability of artificial neural networks (ANNs) to support test-driven development by predicting simi...
Conference Paper
Full-text available
Code and design reuse are as old as software engineering industry itself, but it’s also always a new trend, as more and more software products and websites are being created. Domain-specific design reuse on the web has especially high potential, saving work effort for thousands of developers and encouraging better interaction quality for millions o...
Conference Paper
Full-text available
Given the rapid update cycles in modern web information systems and the abundance of legacy software being migrated to the web, controlling similarity between user interfaces (UI) is an actual problem of interaction engineering. The similarity (consistency) aspect is also increasingly considered in computer-aided design, where it is included in the...
Conference Paper
Full-text available
In our paper we consider how the eminent Kansei Engineering (KE) method can be applied in computer-aided development of websites. Although principally used for exploring emotional dimension of users’ experience with products, KE can be extended to incorporate other types of software requirements. In conjunction with AI Neural Networks (Kansei Type...
Conference Paper
Full-text available
Collaborative web applications are widely used in enterprises to support work in virtual teams. Here, monitoring mood is essential for team managers to intervene and restore optimal working conditions to ensure work success. To retrieve mood information from natural language communication, sentiment analysis techniques are necessary. This, however,...
Article
Full-text available
WebID is a new identification approach of the W3C. It enables managing profile data associated to persons and services at self-defined places in the cloud. By relying on RDF vocabularies like FOAF for describing user profile data, WebID contributes to the Semantic Web vision. While access to user profiles can be controlled with existing security me...
Conference Paper
The implementation of APIs in new applications is becoming a mandatory requirement. This is due to the crescent use of cloud-based solutions, the necessity of integration with ubiquitous applications running also in the cloud (like Facebook or Twitter) and also to facilitate multi-platform support from scratch in the development. At the same time,...
Conference Paper
Full-text available
Finding suitable workers for specific functions largely relies on human assessment. In web-scale environments this assessment exceeds human capability. Thus we introduced the CRAWL approach for Adaptive Case Management (ACM) in previous work. For finding experts in distributed social networks, CRAWL leverages various Web technologies. It supports k...
Conference Paper
Full-text available
An increasing share of today's work is knowledge work. Adaptive Case Management (ACM) assists knowledge workers in handling this collaborative, emergent and unpredictable type of work. Finding suitable workers for specific functions still relies on manual assessment and assignment by persons in charge, which does not scale well. In this paper we di...
Conference Paper
WebID as an extensible and distributed identification approach enables users to globally authenticate themselves, connect to each other and manage their identity data at a self-defined place. Identity data stored in WebID profile documents can be protected from unauthorized access using appropriate access control methods. While existing methods are...
Conference Paper
The WebID identification approach allows users to manage their profile data at a self-defined place in the cloud and enables services as well as other requesters to retrieve data stored within these profiles. While existing access control mechanisms can secure entire user profiles from unauthorized access, they lack fine-grained protection of sensi...
Conference Paper
In the last years, agile development methodologies have been widely adopted. However, they still lack support for API requirements while, at the same time, public RESTful APIs are fueling a rapid growth of web applications providing services built on other services. On the other hand, whereas Model- Driven Development techniques successfully increa...

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Project (1)
Project
Neural networks, evolutionary algorithms, case-based reasoning, Kansei Engineering, optimization based on information complexity.