Open Thesis Topics

In this work your task is to focus on creative live-streams on Twitch and to integrate means to allow for audience participation in these creative processes. For this, we will most likely focus on creative screens in which the streamer creates (digital) paintings. You will implement a Twitch Extension that allows the audience to participate in this drawing process, e.g., by allowing them to draw on a canvas (based on rules to be determined first). An export of the audience drawing is then provided to the streamer who finishes the art. More or different approaches can be investigated as well.

Focus

The main focus will be on the concept and implementation – so you should have a good programming skill. In addition, a user study should be conducted to investigate the users' perception.

Prerequisites

  • Experience with web development
  • Completed HCI and ideally already attended at least one seminar at our chair
  • Ideally, contact to art streamers

How to apply

Please send me an email with the following pieces of information (if you do not answer every point, your application will not be considered):

  • When you plan to start the thesis
  • When you plan to finish the thesis
  • A short motivational statement why this topic is interesting for you
  • A summary why you be a good fit for this topic
  • Your transcript of records
  • A description of which live-streams you consume and if you stay in contact to streamers already
  • A short sketch of how you can imagine to integrate the audience besides the above mentioned idea

See personal profile of Dr. Pascal Lessel

In this work your task is to investigate why “Bottom-up” gamification (i.e., you are able to customize the gamification to your needs) produces positive results. We want to focus on multiple aspects in a user study: ownership (“it is cool, because I could create it and I can identify with it), autonomy (“it is cool, because I was allowed to change it”), good fit (“it is cool, because it fits perfectly to me”) or time invest (“it is cool, because it took me so long to create it). We will conceptualize a study concept in this Master thesis that helps us to answer which of the aforementioned factors seems to be a driving factor for why “bottom-up” gamification is able to outperform “top-down” gamification.

Focus

The main focus will be the study. Thus, you should have a solid understanding of study design or be willing to read books in this area. It can be assumed that you also need to implement a “bottom-up” context to investigate the four aspects.

Prerequisites

  • Read our papers on "bottom-up" gamification (1234)
  • Completed HCI and ideally already attended at least one seminar at our chair
  • Background or interest in gamification

How to apply

Please send me an email with the following pieces of information (if you do not answer every point, your application will not be considered):

  • When you plan to start the thesis
  • When you plan to finish the thesis
  • A short motivational statement why this topic is interesting for you
  • A summary why you be a good fit for this topic
  • Your transcript of records
  • A one pager in which you describe how would a study looks like in which you find out whether or not time invest is a relevant factor in a “bottom-up” scenario. Obviously, if this is reasonable you can re-use this part already for the real study.

See personal profile of Dr. Pascal Lessel

In this work your task is to develop a prototype of a live-streaming platform that should offers a tailored experience for viewers. This means that the watching experience is slightly different for every viewer. While the core video content remains untouched, aspects such as overlays and sounds (last donators, donation goals, last subscriber effects etc.) that are typically present directly in the video content should be separated to disable these locally for viewers. This thesis consists of three parts. In the first part, an online study should be conducted that investigates which kind of options viewers actually want to be customizable. In the second part, the results are transferred into a prototype. In the third part (only for Master students), an actually study with streamers, their viewers and this prototype should be done.

Prerequisites
  • Good experience with web development
  • Completed HCI and ideally already attended at least one seminar at our chair
  • Ideally, contact to streamers (this is also relevant if this is done as a Bachelor thesis, as this might also help for the first part).

How to apply

Please send me an email with the following pieces of information (if you do not answer every point, your application will not be considered):

  • When you plan to start the thesis
  • When you plan to finish the thesis
  • A short motivational statement why this topic is interesting for you
  • A summary why you be a good fit for this topic
  • Your transcript of records
  • A description of which live-streams you consume and if you stay in contact to streamers already
  • A (at least) one page overview (bullet points) of features that you can imagine that could be tailored in this context

See personal profile of Dr. Pascal Lessel

In customization of gamification interventions, we often work on the level of game elements, either by enabling or disabling certain elements in the system, or by allowing users to adjust some attributes of elements (e.g., changing whether an action gives 100 instead of 200 points). While these systematic approaches help to understand how users interact in such situations, it needs to be considered that these are somewhat artificial for users.

Therefore, in this work, we want to focus on situations in which users had customized game-related aspects on their own. To this end, we want to focus on board games and “house rules” in particular. In an online study (maybe complemented with interviews) participants should report on past experiences where they, on purpose, changed the official ruleset of a board game to make it a better fit or which other parts they have changed. This mainly qualitative work should be complemented by a set of standardized measurements that participants needs to answer (e.g., Hexad User Types Questionnaire) to find out, whether relationships can be derived between individual traits and the way board games are customized. The goal is to get insights into further ways how customization should be offered in gameful systems and what parameters user wants to be able to adjust and whether this is moderated by specific attributes.
The final step is to implement a gamified system that implements the found results and to test it in a small (Bachelor’s Thesis) or large (Master’s Thesis) user study to see whether it also generalizes to the gamification domain.

Focus

This work will mainly focus on setting up and conducting user studies and analyzing the results. To do the last study, you also need to implement a study prototype.

Prerequisites

  • Read our papers on "bottom-up" gamification (1234)
  • You should have a strong interest in board games and you should be an active member of a board game community. This is necessary, to be able to distribute the questionnaire to the correct target group and to get enough responses. If you only consume board game channels on YouTube this does not count for being “active member”. In contrast, if you, for example, are a Patreon of a board game creator, where you see a high chance that he/she/they might be distribute the link to our study, you are.
  • Background or interest in gamification
  • Completed HCI and/or the Statistics lecture and ideally already attended at least one seminar at our chair
  • You should be willing to do the qualitative research analysis.

How to apply

Please send me an email with the following pieces of information (if you do not answer every point, your application will not be considered):

  • When you plan to start the thesis.
  • When you plan to finish the thesis.
  • A short motivational statement why this topic is interesting for you.
  • A summary why you be a good fit for this topic. Here, please also cover which board game experience you have, how many board games you own, your top 5 board games and in which board game communities you are actively involved in.
  • Your transcript of records.
  • Which kind of house rules you have implemented in your played board games (~at least 500 characters). If you do not have house ruled so far, please state this and think about a potential house rule for a game and explain it (at least 500 characters).
  • Now, based on this text, please describe how you would do the qualitative research analysis (max. 1 A4 page); cite appropriate literature.

 


See personal profile of Dr. Pascal Lessel

This work focuses on context factors (e.g., stream type: casual stream vs. speedrun) that apply to audience influence options in game live-streams. Building on previous work, your task is to conduct studies in which different situations in typical game live-streams are shown and in which different audience influence options are presented. The relevant influence options for this thesis are not bound to the actual content of the game, instead they work independently of the streamed game (“beyond the game”). Typical examples include modifying the streamer’s room lighting, activating vibration feedback on the streamer’s arm, or exchanging keyboard bindings. The goal of these studies is to derive guidelines which context factors moderate the perception of these modifications.

Focus

The focus is on the study. Likely, you need to either create small mock up prototypes and find a streamer using them (for recording sessions) or you need to have good skills to create proper visualization material, to clarify what happens.

Prerequisites

  • Read our previously published papers on live-streaming.
  • Background or interest in game live-streams.
  • Completed HCI and/or the Statistics lecture and ideally already attended at least one seminar at our chair

How to apply

Please send me an email with the following pieces of information (if you do not answer every point, your application will not be considered):

  • When you plan to start the thesis
  • When you plan to finish the thesis
  • A short motivational statement why this topic is interesting for you
  • A summary why you be a good fit for this topic
  • Your transcript of records
  • Provide the information, whether you have contacts to streamers who would be willing to assist in the study
  • Assume that changing the lighting situation in the streamer’s room is the only possible audience influence option beyond the game. Under this assumption, list context factors that you think are relevant in live-streaming and explain how you would do an online study to investigate these contexts (max 2 A4 page)

 


See personal profile of Dr. Pascal Lessel

Over thousands of board games are released every year making it difficult for non-experts to find suitable games to buy. In this thesis the goal is to create a recommender system that suggests board games to users which they don't own, but would like to play. In a first step, you will check which recommender systems for board games are already available online and you try to find out their shortcomings. In a second step (during the literature review phase), you will check which recommender engines techniques are reasonable and which data you want to acquire from users. In a third step you will analyze where you can get a sufficient number of data points to overcome the cold start problem. In a fourth step, you would implement the recommender and create a web-based front-end to access it. Finally, you need to do a technical evaluation (how is the performance of the recommender with a test set) and a small usability study.

Focus

This work will mainly focus on implementation of an online recommender which needs to be evaluated in a small user study to make assessments of the recommendation quality.

Prerequisites

  • You should have a strong interest in board games.
  • Completed HCI and/or the Statistics lecture and ideally already attended at least one seminar at our chair.
  • You should have experience with web-development.

How to apply

Please send me an email with the following pieces of information (if you do not answer every point, your application will not be considered):

  • When you plan to start the thesis.
  • When you plan to finish the thesis.
  • A short motivational statement why this topic is interesting for you.
  • A summary why you be a good fit for this topic. Here, please also cover which board game experience you have, how many board games you own and your top 5 board games.
  • Your transcript of records.
  • Describe (1 A4 page) how you would approach this topic in general.

 


See personal profile of Dr. Pascal Lessel

Thema: 

Im Rahmen einer Bachelorarbeit soll eine Einkaufsassistenz erstellt werden, welche Laien bei der Beschaffung von (technischen) Produkten unterstützt. Hierzu soll eine Applikation entwickelt werden, die dem Benutzer Informationen über die Kompatibilität von Produkten mit der eigenen Infrastruktur zu Hause bereitstellt. Der Nutzer soll dabei zum einen selber auf Basis von zu definierenden Kriterien nach spezifischen Produkten suchen können. Zum anderen soll aber umgekehrt auch die Möglichkeit geschaffen werden, für ein Produkt prüfen zu können, ob dies kompatibel mit der Infrastruktur im eigenen Haushalt ist, oder zumindest durch Verwendung geeigneter Zusatzprodukte integriert werden könnte. Die ausgewählten Produkte sollen anschließend auf der Einkaufsliste des Nutzers eingetragen werden.

 

Aufgaben:

  • Literaturrecherche hinsichtlich bereits existierender ähnlicher Arbeiten
  • Identifikation der Produkte im Haushalt, welche für dieses Assistenzsystem geeignet/relevant sind 
  • Erstellung eines hierarchischen Kriterienkatalogs für (technische) Produkte im Haushalt (z.B. Beleuchtung->Deckenleuchte->dimmbar…), welcher so gestaltet sein muss, dass sich hierüber Kompatibilitäten zwischen Produkten ableiten lassen
  • Implementierung einer Applikation, welche Informationen über kompatible Produkte liefert: der Nutzer soll hierbei sowohl basierend auf seiner Infrastruktur explizit nach spezifischen Produkten suchen können, als auch – z.B. an Hand eines kleinen Beispiel-Webshops – von einem Produkt die Kompatibilität zum eigenen Haushalt prüfen können
  • Evaluation des entwickelten Systems 

 

Bewerbung: 

Kontaktperson: Denise Kahl

Bitte füge Deiner Bewerbung folgende Informationen hinzu:

  • Kurzes Motivationsschreiben (Warum passt das Thema zu Dir?)
  • Geplanter Start/Fertigstellung der Arbeit
  • Transcript of Records

See personal profile of Denise Kahl

In this thesis, the goal is to evaluate the potential for driver-app-based functionalities and processes to increase the driver experience and performance in last-mile grocery delivery services, using concepts from gamification, organizational psychology and related fields. This thesis is a cooperation with Urbeee and the Alexander von Humboldt Institut für Internet und Gesellschaft. 

Urbeee GmbH is a dynamic logistics start-up based in Berlin. Through our software and data driven approach we could secure one of the top 3 food retailers in Germany as a long-term customer with our last-mile grocery delivery service. Urbeee is now facing the challenge of expanding its delivery business and simultaneously keeping quality of service high. Our core software system enables our contractual delivery partners to improve efficiency in their operations ranging from order management to driver communication. As necessary IT infrastructure, every driver uses our Android based application on a daily basis to check in at the logistics facility, receive orders, among other functions. 

Urbeee offers to use and test the current system, visit and experience the logistics operations on site, conduct qualitative interviews with different individuals along the supply chain, and test newly developed functionalities in a closed but commercial environment

Focus:

We expect the students to gather and analyze empirical data from current operations, to then apply theoretical concepts from gamification, organizational psychology and related fields during the development and testing process for new functionalities / processes with the aim of improving driver performance and well-being. A prototypical implementation of a system aiming at improving a drivers' experience and performance should be realized and evaluated.

Methodology:

  • Qualitative Interviews
  • Qualitative Analysis
  • Process Design
  • Mobile Development (Android)
  • Testing and Evaluation of implemented Interventions

Prerequisites:

  • Good analytical skills
  • Strong programming skills
  • Ability to work independently
  • You should be proficient in writing and speaking the german language

Application:

Please send a mail with the following information:

  • Your planned start and end date for the thesis
  • A short motivation for why you would like to work on this thesis (max. 0.5 pages), and why your abilities match the requirements mentioned above
  • Transcript of records

The thesis will be co-advised by Frederic Kerber


See personal profile of Maximilian Altmeyer

Recent advances in Machine learning (specifically Deep Learning) allowed robots to understand objects and the surrounding environment on a perceptual non-symbolic level (e.g. object detection, sensors fusion, and language understanding), however a trending area of research is to understand objects on a conceptual symbolic level so we can achieve a level of robots thinking like humans. Deep Reinforcement Learning (RL) recently attempted implicitly combining these symbolic and non-symbolic learning paradigms, but it has several drawbacks such as: (1) the need for very long training time with respect to traditional deep learning approaches, (2) convergence to optimum policy is not guaranteed and it can get stuck in a sub-optimal policy, and (3) a RL agent is trained over a simulated environment so it cannot foresee actions that only exist in the real environment. The goal of thesis is to train a robot that would explicitly learn on both perceptual and conceptual levels through direct feedback from a human expert along with its existing view (i.e. sensors) of the world.

 

Focus

This work will focus on Reinforcement Learning, Imitation Learning and the combination of both. This work will involve real-time implementation of a working system.

 

Prerequisites

  • Please read about the following papers [1] [2] [3] [4] [5]
  • Background or interest in RL, Computer Vision or AI Planning
  • Completed HCI, Statistics and/or Machine learning courses
  • Strong programming skills
  • Unity/SImulation environments background is a plus

 

How to apply

Please  send me an email  with the following pieces of information:

  • When you plan to start the thesis
  • When you plan to finish the thesis
  • A short motivational statement why this topic is interesting for you
  • A summary why you would be a good fit for this topic
  • Your transcript of records and CV

See personal profile of Amr Gomaa

Referencing resolution is a trending topic that remains unsolved due to the high variance in users' behavior when performing a referencing task. Referencing resolution is simply identifying the object a user is intending to select through speech, pointing, gaze or multi modal fusion of all the previous modalities. Referencing is used in multiple domains in HCI such as Human Robot Interaction (HRI) [Nickel et al. 2003; Whitney et al. 2016; Kontogiorgos et al. 2018; Sibirtseva et al. 2019], and Vehicle and Drone interaction [Rümelin et al. 2013; Roider et al. 2017; Gomaa et al. 2020]. However, most of the current research focus on stationary first-person view when interacting with the object. In this thesis, you will work on the task of multi-modal real-time reference resolution using speech, gaze and/or pointing gestures from a moving source in third person perspective when interacting with industrial robot or retail delivery drone. 

 

Focus

This work will focus on gesture identification, gaze tracking, object detection, speech recognition and/or modality fusion techniques. This work will involve real-time implementation of a working system.

 

Prerequisites

  • Please read about the following papers [1] [2] [3] [4] [5] [6]
  • Background or interest in gesture recognition, NLP or gaze tracking
  • Completed HCI, Statistics and/or Machine learning courses
  • Strong programming skills

 

How to apply

Please  send me an email  with the following pieces of information:

  • When you plan to start the thesis
  • When you plan to finish the thesis
  • A short motivational statement why this topic is interesting for you
  • A summary why you would be a good fit for this topic
  • Your transcript of records and CV

See personal profile of Amr Gomaa

Vehicles get exponentially smarter every day; Manufacturers are continuously adding more features to smart cars. While these functionalities are added to enhance driver's experience and make their rides smoother, they often come with extra complexity that causes more stress and might make the trip more dangerous. Several researchers attempted conceptualizing / introducing situation-aware personalized adaptive interfaces that would ultimately reduce the interface complexity [Garzon et al. 2010; Garzon et al. 2011; Garzon 2012; Siegmund et al. 2013; Walter et al. 2015; Hasenjäger et al. 2017; Knauss et al. 2018]. However, as far as we know, there is no actual implementation for such interface due to the lack and obtaining difficulty of such training data. 

 

Focus

In this thesis, you will work on a two-stage project that 1) Identify certain activities or scenarios based on driving behavior for the use in traditional or autonomous driving situations using state diagrams or specific schema, 2) Use a hybrid deep learning approach ( eg Graphical Neural Networks or Deep Reinforcement Learning) to find adaptive patterns in behavior using small amount of data. You will focus on activity recognition, situation awareness and hybrid learning approaches combining symbolic and sub-symbolic learning.

 

Prerequisites

  • Please read about the following papers [1] [2] [3]  [4] [5] [6]
  • Familiar with deep learning concepts and / or state diagrams / graphical modeling
  • Completed AI Planning, Statistics and / or Machine learning courses
  • Strong programming skills

 

How to apply

Please   send me an email   with the following pieces of information:

  • When you plan to start the thesis
  • When you plan to finish the thesis
  • A short motivational statement why this topic is interesting for you
  • A summary why you would be a good fit for this topic
  • Your transcript of records and CV

See personal profile of Amr Gomaa

Kleine Einzelhändler in Innenstädten oder Einkaufszentren profitieren aktuell kaum von der Digitalisierung im Handel. Es fehlen überzeugende Anwendungen, die einen Mehrwert mit den entsprechenden, digitalisierten Informationen generieren. Im Rahmen einer Abschlussarbeit in Zusammenarbeit mit Horn & Company Data Analytics soll untersucht werden, wie Konzepte zur Unterstützung lokaler Einzelhändler aussehen könnten,  vielversprechende Konzepte zu entwickeln und zu evaluieren.

Inhalte der Abschlussarbeit:

  • Ideengenerierung
  • Erste Evaluation: Erste Befragungen und Detaillierung der Ideen
  • Ideenauswahl: Auswahl von Fokusideen (ein oder mehrere) auf Basis der ersten Evaluation
  • Ideenverfeinerung: die ausgewählten Ideen werden spezifiziert, Konzepte zu Daten, Architektur, Oberflächen etc. erstellt, ggf. Mock-Ups gemacht
  • Implementierung von Prototypen
  • Zweite Evaluation: Detaillierte Befragungen


Bewerbung:

Bitte sende mir eine E-Mail mit den folgenden Informationen:

  • Gewünschter Start der Arbeit
  • Geplante Fertigstellung der Arbeit
  • Ein kurzes Motivationsstatement, warum das Thema interessant für dich ist
  • Eine kurze Zusammenfassung, warum du gut für die Bearbeitung des Themas geeignet bist
  • Übersicht besuchter Lehrveranstaltungen

See personal profile of Frederic Kerber

Motivation
Die Eyeled GmbH hat sich als Anbieter von Apps für Weltleitmessen etabliert. Die Apps enthalten alle relevanten Informationen für den Besucher zur Vorbereitung und für den Messebesuch selbst.
Bereits im Vorfeld kann der Nutzer eine Liste von Ausstellern zusammenstellen, die er besuchen möchte und optional auch schon konkrete Gesprächstermine vereinbaren. Außerdem kann er sich Vorträge vormerken, die auf der Messe in Foren gehalten werden.
Wünschenswert wäre es, wenn das System dem Besucher einen optimalen Plan vorschlagen könnte, bei dem die Termine alle wahrgenommen werden können und gleichzeitig die Laufwege möglichst kurz sind.

Thema
Das Traveling Salesman Problem ist ein Optimierungsproblem der Theoretischen Informatik, das bereits sehr gut untersucht ist. Es stehen heute viele heuristische und exakte Methoden zur Lösung zur Verfügung. Die zusätzliche Hinzunahme von Termin-Restriktionen erschwert das Problem erheblich. In dieser Arbeit soll ein System umgesetzt werden, das Lösungen für den beschriebenen Anwendungsfall vorschlägt. Zu untersuchen ist, bis zu welcher Anzahl von Eingabeparametern eine optimale Lösung in vertretbarer Zeit bestimmt werden kann und ab wann auf einen heuristischen Algorithmus zurückgegriffen werden muss.

 

Inhalte der Arbeit

  • Evaluation des derzeitigen Stands der Forschung
  • Konzeption des Systems
  • Prototypische Umsetzung und Evaluierung
  • Schnittstellendefinition und Integration mit bestehender Messe-App (Anpassungen an Messe-App ist nicht Teil der Anforderungen)
  • Erweiterungsmöglichkeiten: Automatische Vorschläge zum Besuch von auf dem Weg liegenden Ausstellern, die zum Interessenprofil des Besuchers passen

 

Voraussetzungen

  • Interesse am Thema Datenstrukturen und Algorithmen
  • Gute bis sehr gute Programmierkenntnisse (Node.js)
  • Datenbankkenntnisse (SQLite)

 

Bewerbung
Bitte sende eine E-Mail an Frederic Kerber mit den folgenden Informationen:

  • Gewünschter Start der Arbeit
  • Geplante Fertigstellung der Arbeit
  • Ein kurzes Motivationsstatement, warum das Thema interessant für dich ist
  • Eine kurze Zusammenfassung, warum du gut für die Bearbeitung des Themas geeignet bist
  • Übersicht besuchter Lehrveranstaltungen

 

Ansprechpartner

DFKI: Frederic Kerber
Eyeled GmbH: Christoph Bartelmus


See personal profile of Frederic Kerber

Voice assistants are ubiquitous. Whether it's Alexa, Siri or the Google Assistant, they are all widespread and are now used by many daily. These assistants are being used in an increasing number of fields and play a major role in research. However, most of them depend on a cloud-based service to perform the NLU (Natural Language Understanding), and you have little control over them, also in terms of data protection. There are many (open source) systems for speech-to-text (e.g. DeepSpeech(2), Vosk)  and intent recognition on text (e.g. RASA). The goal of this thesis is to implement one of these local systems as an alternative path to an existing cloud-based NLU, and to perform a qualitative comparison.

In our group, we already use Cerence Studio, an intent recogniser for spoken language that runs in the cloud. Your system should be compatible with the training format of Cerence Studio (or build your training format that can be exported to Cerence Studio). For a good result, the text-to-speech and intention recognisers component must work together. You would then integrate your offline system into our existing dialogue platform stepDP.

Focus

The focus will be on the concept and implementation - so you should have good programming skills. For a Master’s Thesis, there will be an additional focus on the qualitative comparison of the two NLU services. The result is to be evaluated later in a suitable way (in a Master's thesis in the form of a user study).

Prerequisites

  • Good programming skills in JAVA or C#
  • Understanding of basic speech processing concepts
  • Ideal: Previous experience in existing (open source) solutions in the field of speech recognition and NLU (intention detection)
  • Basic understanding of machine learning

How to apply

Please send an application to Julian Wolter containing the following information. (if you do not answer every point, your application will not be considered):

  1. When you plan to start the thesis
  2. When you plan to finish the thesis
  3. A short motivational statement (max 0.5 pages) why this topic is interesting for you
  4. A brief summary of your prior knowledge
  5. Your transcript of records and your CV

See personal profile of Julian Wolter