Till Plumbaum

Till Plumbaum
Technische Universität Berlin | TUB · Distributed Artificial Intelligence Laboratory

MS

About

48
Publications
6,745
Reads
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364
Citations

Publications

Publications (48)
Conference Paper
Full-text available
Increasing user participation or changing behavior are key goals when applying gamification. Existing studies in domains such as education, health, and enterprise show that gamification can have a positive impact on meeting these goals. However, there is still a lack of detailed insights into how certain game design elements affect user behavior an...
Conference Paper
Gamification has been attracted much interest, not only in the HCI community, in the last few years. However, there is still a lack of insights and theory on the relationships between game design elements, motivation, domain context and user behavior. In this workshop we want to discover the potentials of data-driven gamification design optimizatio...
Conference Paper
Full-text available
Quantified Self (QS) field needs to start thinking of how situated needs may affect the use of self-tracking technologies. In this workshop we will focus on the idiosyncrasies of specific categories of users.
Conference Paper
In real-world scenarios, recommenders face non-functional requirements of technical nature and must handle dynamic data in the form of sequential streams. Evaluation of recommender systems must take these issues into account in order to be maximally informative. In this paper, we present Idomaar—a framework that enables the efficient multi-dimensio...
Conference Paper
With the ubiquity of fast internet connections and the growing availability of Video-On-Demand (VOD) services powerful recommender systems are needed. Traditionally, movie recommender systems apply user-based collaborative filtering providing high quality recommendations if users maintain user profiles describing preferences and movie ratings. The...
Conference Paper
Full-text available
While the Quantified Self (QS) community is described in terms of "self-knowledge through numbers" people are increasingly demanding value and meaning. In this workshop we aim at refocusing the QS debate on the value of data for providing new services.
Article
Full-text available
The Internet offers a new chance for health professionals to reach population groups not usually reached through traditional information channels, for example, migrants. Criticism has, however, been raised that most health information on the Internet is not easy to read and lacks cultural sensitivity. We developed an Internet-based bilingual health...
Conference Paper
Full-text available
In spite of the fast growth in the market of devices and applications that allow people to collect personal information, Quantified Self (QS) tools still present a variety of issues when they are used in everyday lives of common people. In this workshop we aim at exploring new ways for designing QS systems, by gathering different researchers in a u...
Conference Paper
Lifelogging has recently found its way into public consciousness. More and more devices, sensors and applications become available for the end-user. Data is collected from a whole lot of different sensors. The wealth of data is overwhelming. Suddenly, we know more about a single user than ever before. This data allows us to approach new use cases a...
Chapter
Gamification—taking game design patterns and principles out of video games to apply them in non-game environments has become a popular idea in the last 4 years. It has also successfully been applied to workplace environments, but it still remains unclear how employees really feel about the introduction of a gamified system. We address this matter b...
Chapter
Shopping online for clothes is becoming very popular recently. But finding good clothes remains a difficult task. We face a wealth of clothes on offer, and without the possibility to fit or feel the product, making decisions is not easy. In this chapter, we present a use case of an online retailer that aims to improve the shopping experience of men...
Article
Our personal health should be one of our main concerns, but unfortunately, due to modern lifestyle, far too many people ignore their own well-being. Consequently, methodologies need to be developed that assist us in living a healthier life. In this chapter, we present a health assistance system for immigrants. The system consists of two parts: A he...
Article
Handling the amount of information on theWeb, known as the information overload problem, requires tremendous effort. One approach that relieves the user from this burden is offering personalized information access. Systems that adopt to users’ preferences are called adaptive systems. Based on a user profile containing details about the users’ prefe...
Thesis
With the rise of the Web in the 1990’s, people got access to a yet unknown amount of information, finding themselves in the role of consumers of information. Since then, information on the Web has grown exponentially. All kinds of information - good, bad, incorrect, outdated or spam - can be found on the Web. With the availability of web-enabled mo...
Article
Finding health-related content is not an easy task. People have to know what to search for, which medical terms to use, and where to find accurate information. This task becomes even harder when people such as immigrants wish to find information in their country of residence and do not speak the national language very well. In this paper, we presen...
Conference Paper
In this paper we introduce a distributed information retrieval system using agent-based technology. In this multi-agent system, each agent has its own specific task and can be used to handle a specific document repository. The system is designed to automatically comply with access restriction rules that are normally enforced in companies. It is use...
Conference Paper
Although gamification has successfully been applied in office scenarios, it remains unclear how employees really feel about the introduction of a gamified system at their workplace. In this paper, we address this issue from two directions. First, we present the outcome of an online survey where we analyze users' opinion about gamification in a work...
Conference Paper
Full-text available
Recommending news articles entails additional requirements to recommender systems. Such requirements include special consumption patterns, fluctuating itemcollections, and highly sparse user profiles. This workshop (NRS'13@RecSys) brought together researchers and practitioners around the topics of designing and evaluating novel news recommender sys...
Conference Paper
The SPIM workshop focuses especially on people that are working on the social or semantic Web, machine learning, user modeling, recommender systems, information retrieval, semantic interaction, or their combination. The goal is to bring together researchers and practitioners to initiating discussions on the different requirements and challenges com...
Conference Paper
Preventive health is becoming an increasingly important part of our society. In addition to improving people’s personal well being, another positive effect is the reduction of costs for medical treatments that put a high burden on individuals and health care providers. Despite these advantages, preventive health services are still not used at a des...
Conference Paper
Full-text available
Recommender systems are crucial components of most commercial web sites to keep users satisfied and to increase revenue. Thus, a lot of effort is made to improve recommendation accuracy. But when is the best possible performance of the recommender reached? The magic barrier, refers to some unknown level of prediction accuracy a recommender system c...
Chapter
This chapter gives a comprehensive overview of ongoing research about semantic approaches for Collaboration Engineering. We will present a new ontology-based approach, where each concept of the ontology corresponds to a specific collaboration step or a resource, to collect, manages and share collaboration knowledge. We discuss the utility of the pr...
Conference Paper
Full-text available
How can semantic data and semantic technologies be leveraged for personalization and recommendation services? In this paper, we present SERUM (Semantic Recommendations based on large unstructured datasets), a news recommendation system that utilizes semantic technologies to collect implicit user behavior and to build semantic user models. These mod...
Conference Paper
The Social Web, or the so called Web 2.0, is growing daily by the number of users and applications. In this way, a significant part of newly generated Web content and traffic is created by the users itself. They create, connect, comment, tag, rate, remix, upload, download, new or existing resources in an architecture of participation, where user co...
Conference Paper
With the growing impact of the Web 2.0 on our every day life, people start to use more and more different web based services like Facebook or Twitter. Thereby, they generate and distribute personal and social information such as interests, preferences and goals that are stored in a user profile. This leads to open challenges regarding the users abi...
Article
Full-text available
The advent of Linked Open Data (LOD) gave birth to a plethora of open datasets freely available to everyone. Accompanied with LOD, a new research field arises focusing on how to handle and to take advantage of this huge amount of data. In this paper, we introduce a novel approach utilizing and aggregating open datasets to compute the most-related e...
Article
Full-text available
How can we make use of the personal information a single user is spreading all over the Social Web every day? In this paper we investigate what is needed from a user model point of view to support user data sharing and aggregation to enhance personalization and rec-ommendation services. We present a study of 17 social applications to define require...
Conference Paper
Full-text available
Nowadays, lots of knowledge is lost or hidden because it is in people's heads and not conserved in digital archives. Especially for enterprises, this means a pecuniary advantage is lost every day. In this paper, we propose a Semantic Knowledge Management System that allows us to save knowledge in a semantic way and motivates employees to conserve t...
Conference Paper
Full-text available
Semantically-enhanced Ubiquitous User Modeling aims at the management of distributed user models and the integration into ontologies to share user information amongst adaptive applications for personalization purposes. To reach this goal, different problems have to be solved. The collection of implicit user information by observing the user behavio...
Conference Paper
Full-text available
Collaboration is a social and interactive process, where participants join efforts toward a group goal. A Group Support Systems (GSS) can improve the productivity of collaboration work by structuring activities and improving communication. However, knowledge is needed for the faithful appropriation of GSS technology. In this paper we present ongoin...
Conference Paper
Collaboration is a social and interactive process, where participants join efforts toward a group goal. A Group Support System (GSS) can improve the productivity of collaborative work by structuring activities and improving communication. By using context-based adaptive techniques, a GSS can support facilitation of the participants by offering appr...
Conference Paper
In this paper, we present a novel approach to track user interaction on a web page based on JavaScript-events combined with the Semantic Web standard Microformats to obtain more fine-grained and meaningful user information. Today’s user tracking solutions are mostly page-based and lose valuable information about user interactions. To get an in-dept...
Article
Full-text available
In the coming years we will see a revolution of machine knowledge and abilities which will emerge from different activities and trends in three distinct areas connected to the internet: the emerging Web of Data and Web of Services, as well as the Web of Identities, which we define in this paper. These areas are about making accessible, connectable...
Conference Paper
Full-text available
We propose a method for the detection of trends in social bookmarking systems. Compared to other work in this emerging field, our approach has a more sound statistical basis. In order to cope with the problem of vanishing probabilities due to data sparsity, we apply smoothing and show that it allows for an easy calibration of our trend detector res...
Conference Paper
In this paper, we present an approach to reduce the effort of building suitable user models and to ease the administration of cross-application data management. We introduce a centralized sophisticated multi-application user modeling and profile management framework with an integrated central identity management, called user modeling and personaliz...
Article
Full-text available
We describe a semantic recommender system for interactive TV services adapted to the task of building and improving communities of senior citizens. Although senior citizens are traditionally seen as late adopters of technology, they may be the part of society that could profit most from online communities, due to reduced mobility limiting face-to-f...
Article
Full-text available
We present our recent work on recommending music news articles to users based on their music preferences and large scale semantic datasets. In today's online world, people are overwhelmed with the amount of available information. Therefore, we exploit the fact that semantically linked and structured information becomes more and more available drive...

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