Termine

Termine

Aktuelle Termine

BEGIN:VCALENDAR VERSION:2.0 PRODID:-//TYPO3/NONSGML Calendarize//EN BEGIN:VEVENT UID:calendarize-designing-user-interfaces-embedded-in-everyday-objects-for -rich-interaction DTSTAMP:20250312T093419Z DTSTART:20250317T151500Z SUMMARY:Designing User Interfaces Embedded in Everyday Objects for Rich In teraction DESCRIPTION:Am Montag\, den 17. März 2025\, um 16:15 Uhr hält\nMichael B osomefi Chamunorwa\nUniversität Oldenburg\nim Rahmen seiner beabsichtigte n Dissertation einen Vortrag mit dem Titel\nDesigning User Interfaces Embe dded in Everyday Objects for Rich Interaction\n Der Vortrag findet hybrid im statt.\nOFFIS\, Escherweg 2\, Raum F02 und https://meeting.uol.de/room s/ml4-tro-l57-zwz/join\nAbstract: The rise of networked and smart devices in homes and beyond has led to more control interfaces\, such as smartphon es\, dedicated remotes\, and voice assistants. Often\, these are designed without considering users’ daily practices\, and preferences resulting i n interfaces that do not sufficiently integrate with user goals and needs. A potential solution to address the shortcomings lies in designing altern ative interfaces embedded in familiar objects and surfaces\, taking advant age of the interactions humans have learned with their surroundings over m illennia.In this dissertation\, we explore the design of alternative user interfaces (UI) embedded in everyday objects to ease the shortcomings of c urrent interaction approaches\, particularly in the home. Our iterative ex plorations begin with finding candidate household objects and potential de vices they could be assigned to control (e.g.\, lighting\, temperature\, e ntertainment). Additionally\, we devise observation tools and protocols fo r conducting lab-based or in-situ elicitation and interaction design activ ities. Later\, we utilise the same protocols to observe end-users as they propose mappings between sample everyday objects and networked devices. We compile observations from this elicitation process into functional requir ements and fabricate interactive prototypes with sensing and actuating mat erials. We finally evaluate these prototypes in lab user studies to docume nt the associated user experience (UX) and gain insights into how users pe rceive their overall functionality and designs.Our findings indicate that alternative interfaces can be realised by exploiting the secondary afforda nces of everyday objects (i.e. physical attributes that accommodate contro l interfaces without disrupting primary functions). However\, for these in terfaces to effectively function as alternative UIs\, designers must consi der their contextual and physical attributes while carefully navigating de sign trade-offs that impact UX. Key considerations in this regard include ensuring intuitive mappings between gestures and functions\, using multimo dal feedback appropriately\, and preserving the object’s original purpos e. Further results also show that some interfaces embedded in everyday obj ects are scalable\, allowing a single object to control multiple devices. However\, future research should address the scalability of these solution s across diverse user groups\, a wider range of everyday objects and inter action contexts.This work improves our understanding of interaction paradi gms beyond screens and voice control. It contributes to the body of knowle dge on how the physical attributes of objects shape user interactions and affordances in different environments.Betreuerin: Prof. Dr. Susanne Boll X-ALT-DESC;FMTTYPE=text/html:

Am Montag\, den 17 . März 2025\, um 16:15 Uhr hält

\n

Michael Bosomefi Chamunorwa

\n

Universität Oldenburg

\n

im Ra hmen seiner beabsichtigten Dissertation einen Vortrag mit dem Titel

\n< p class="Default">Designing User Inte rfaces Embedded in Everyday Objects for Rich Interaction\n

 \;Der Vortrag findet hybrid im statt.

\n

OFFIS\, Escherweg 2\, Raum F02 und https://meeting. uol.de/rooms/ml4-tro-l57-zwz/join

\n

Abstract: The rise of networked and smart devices in homes and beyond has le d to more control interfaces\, such as smartphones\, dedicated remotes\, a nd voice assistants. Often\, these are designed without considering users’ daily practices\, and preferences resulting in interfaces that do not suf ficiently integrate with user goals and needs. A potential solution to add ress the shortcomings lies in designing alternative interfaces embedded in familiar objects and surfaces\, taking advantage of the interactions huma ns have learned with their surroundings over millennia.
In this disse rtation\, we explore the design of alternative user interfaces (UI) embedd ed in everyday objects to ease the shortcomings of current interaction app roaches\, particularly in the home. Our iterative explorations begin with finding candidate household objects and potential devices they could be as signed to control (e.g.\, lighting\, temperature\, entertainment). Additio nally\, we devise observation tools and protocols for conducting lab-based or in-situ elicitation and interaction design activities. Later\, we util ise the same protocols to observe end-users as they propose mappings betwe en sample everyday objects and networked devices. We compile observations from this elicitation process into functional requirements and fabricate i nteractive prototypes with sensing and actuating materials. We finally eva luate these prototypes in lab user studies to document the associated user experience (UX) and gain insights into how users perceive their overall f unctionality and designs.
Our findings indicate that alternative inte rfaces can be realised by exploiting the secondary affordances of everyday objects (i.e. physical attributes that accommodate control interfaces wit hout disrupting primary functions). However\, for these interfaces to effe ctively function as alternative UIs\, designers must consider their contex tual and physical attributes while carefully navigating design trade-offs that impact UX. Key considerations in this regard include ensuring intuiti ve mappings between gestures and functions\, using multimodal feedback app ropriately\, and preserving the object’s original purpose. Further resul ts also show that some interfaces embedded in everyday objects are scalabl e\, allowing a single object to control multiple devices. However\, future research should address the scalability of these solutions across diverse user groups\, a wider range of everyday objects and interaction contexts.
This work improves our understanding of interaction paradigms beyond screens and voice control. It contributes to the body of knowledge on how the physical attributes of objects shape user interactions and affordance s in different environments.
Betreuerin: Prof. Dr. S usanne Boll

LOCATION: END:VEVENT BEGIN:VEVENT UID:calendarize-from-real-world-traffic-data-to-scenarios-in-the-context-o f-automated-vehicles DTSTAMP:20250129T142132Z DTSTART:20250324T151500Z DTEND:20250324T164500Z SUMMARY:From Real-World Traffic Data to Scenarios in the Context of Automa ted Vehicles DESCRIPTION:Am Montag\, den 24. März 2025\, um 16:15 Uhr hältLars Klitzk eUniversität Oldenburgim Rahmen seiner beabsichtigten Dissertation einen Vortrag mit dem TitelFrom Real-World Traffic Data to Scenarios in the Cont ext of Automated VehiclesDer Vortrag findet online statt\nhttps://studconf .uol.de/rooms/gx0-zsk-6nf-ja3/join \nAbstract:The large-scale introductio n of automated vehicles on public roads is an ambitious and challenging go al. This technology aims to significantly contribute to increased traffic safety and comfort\, while also serving as the foundation for further inno vative mobility concepts. However\, one of the most significant challenges in introducing such systems is ensuring their compliance with local regul atory requirements\, since it is essential that these systems function cor rectly and safely within complex real-world environments without a human f all-back option.Due to the complexity of the systems and their environment \, the driving function or the automated vehicle is systematically tested in specific scenarios. However\, the availability of an extensive dataset with diverse scenarios is a critical prerequisite\, which can be defined b ased on different data sources. The collection of traffic data in the real world\, using either vehicles or (quasi-) stationary infrastructure\, rep resents a particularly valuable source\, as it realistically reflects the behaviour of human road users and also includes atypical behaviour or even critical conflicts between participants. Specifically\, infrastructure-ba sed traffic data collection allows a detailed description of scenarios and \, due to continuous data collection\, the identification of rare phenomen a. However\, this continuous stream of traffic data must be systematically processed to create a comprehensive collection of scenarios.This thesis a ddresses this issue and presents a methodology for representing traffic da ta collected in the real world based on scenarios and their systematic ide ntification from real-world traffic data. A hierarchical data model is use d for this purpose\, which semantically describes traffic data at four lev els of abstraction. Various approaches to defining and identifying phenome na at those abstraction levels using real-traffic data are presented. In p articular\, the level of primitives is motivated and a methodology is prop osed that allows traffic data to be represented in terms of primitives and \, based on them\, the derivation of manoeuvres. Based on this\, a methodo logy is presented for the systematic definition and extraction of scenario s using ontologies. The different methods are integrated into a modular pl atform that enables the continuous identification and analysis of scenario s in real-world traffic data.The procedures and methods presented in this work are individually evaluated using real-world problems. Overall\, the r esults show that the proposed methodology enables the systematic identific ation and representation of scenarios from real-world traffic data\, there by contributing to the compilation of a comprehensive knowledge base of sc enarios. Furthermore\, the results highlight the versatility of the propos ed methodologies\, demonstrating their application to a range of research questions. The exemplary use of ontologies may also serve as a foundation for future work\, particularly within the domain of artificial intelligenc e research.Betreuer: Prof. Dr. Frank Köster X-ALT-DESC;FMTTYPE=text/html:

Am Montag\, den 24. Mä rz 2025\, um 16:15 Uhr hält
Lars Klitzke
Universität Oldenburg
im Rahmen seiner beabsichtigten Dissertation einen Vortrag mit dem T itel
From Real-World Traffic Data to Scenarios in the Context of Auto mated Vehicles
Der Vortrag findet online statt

\n

https://studconf.uol.de/rooms/gx0-zsk-6nf-ja3/join
 \;

\ n

Abstract:
The large-scale introduction of automa ted vehicles on public roads is an ambitious and challenging goal. This te chnology aims to significantly contribute to increased traffic safety and comfort\, while also serving as the foundation for further innovative mobi lity concepts. However\, one of the most significant challenges in introdu cing such systems is ensuring their compliance with local regulatory requi rements\, since it is essential that these systems function correctly and safely within complex real-world environments without a human fall-back op tion.
Due to the complexity of the systems and their environment\, th e driving function or the automated vehicle is systematically tested in sp ecific scenarios. However\, the availability of an extensive dataset with diverse scenarios is a critical prerequisite\, which can be defined based on different data sources. The collection of traffic data in the real worl d\, using either vehicles or (quasi-) stationary infrastructure\, represen ts a particularly valuable source\, as it realistically reflects the behav iour of human road users and also includes atypical behaviour or even crit ical conflicts between participants. Specifically\, infrastructure-based t raffic data collection allows a detailed description of scenarios and\, du e to continuous data collection\, the identification of rare phenomena. Ho wever\, this continuous stream of traffic data must be systematically proc essed to create a comprehensive collection of scenarios.
This thesis addresses this issue and presents a methodology for representing traffic d ata collected in the real world based on scenarios and their systematic id entification from real-world traffic data. A hierarchical data model is us ed for this purpose\, which semantically describes traffic data at four le vels of abstraction. Various approaches to defining and identifying phenom ena at those abstraction levels using real-traffic data are presented. In particular\, the level of primitives is motivated and a methodology is pro posed that allows traffic data to be represented in terms of primitives an d\, based on them\, the derivation of manoeuvres. Based on this\, a method ology is presented for the systematic definition and extraction of scenari os using ontologies. The different methods are integrated into a modular p latform that enables the continuous identification and analysis of scenari os in real-world traffic data.
The procedures and methods presented i n this work are individually evaluated using real-world problems. Overall\ , the results show that the proposed methodology enables the systematic id entification and representation of scenarios from real-world traffic data\ , thereby contributing to the compilation of a comprehensive knowledge bas e of scenarios. Furthermore\, the results highlight the versatility of the proposed methodologies\, demonstrating their application to a range of re search questions. The exemplary use of ontologies may also serve as a foun dation for future work\, particularly within the domain of artificial inte lligence research.
Betreuer: Prof. Dr. Frank Köster

LOCATION: END:VEVENT BEGIN:VEVENT UID:calendarize-a-trust-model-in-control-systems-to-extend-and-support-sec urity DTSTAMP:20250226T122317Z DTSTART:20250327T131500Z SUMMARY:A Trust Model in Control Systems to Extend and Support Security DESCRIPTION:Am Donnerstag\, den 27. März 2025\, um 14:15 Uhr hält\nBjör n Siemers\, Universität Oldenburg\nim Rahmen seiner beabsichtigten Disser tation einen Vortrag mit dem Titel\nA Trust Model in Control Systems to Ex tend and Support Security\nDer Vortrag findet hybrid statt:\nOFFIS\, Esche rweg 2\, Raum F02 und https://meeting.uol.de/rooms/seb-vqb-mms/join\nAbstr act:\nThe evolution of the ongoing energy transition reveals some critical limitations regarding cybersecurity in the energy sector. This is associa ted with opening the control system to the internet and thus creating oppo rtunities for adversarials to break into the critical infrastructures. Add itionally\, new and untested technology could harm the entire system\, but it is often skipped in favor of its needed technology and functionality. This can lead to unforeseeable security issues. To overcome these\, innova tion is needed to orchestrate information while supporting the operator in keeping an overview of the security status. One way to condense security information is to correlate the relevant information and provide interpret ative information. To accomplish this\, a trust model can fulfill these re quirements.\nA trust model can provide a viable solution: It aggregates th e information to summarized\, condensed information and additionally ident ifies the cause of possible deviations in the system to bridge the gap bet ween the abundance of data\, security\, and new technology. This approach proposes a trust security model to strengthen and expand security in energ y systems by collecting existing (security) information and aggregating it into so-called trust facets. Additionally\, it will facilitate the identi fication of security issues in the energy control system through the conce pt of tracing. Tracing uncovers the origin of an attack by identifying the key metrics that lead to a deviation in the calculated trust values.\nBet reuer: Prof. Dr. Sebastian Lehnhoff\n  X-ALT-DESC;FMTTYPE=text/html:

Am Donnerstag\, de n 27. März 2025\, um 14:15 Uhr hält

\n

Björn Siemers\, Universität Oldenburg

\n

im Rahmen seiner beabsichtigten Dissertation einen Vo rtrag mit dem Titel

\n

< strong>A Trust Model in Control Systems to Extend and Support Security

\n

Der Vortrag findet hybrid statt:

\ n

OFFIS\, Escherweg 2\, Raum F02 und https://meet ing.uol.de/rooms/seb-vqb-mms/join

\n

Abstract:

\n

The evolution of the ongoing energy transition reveals som e critical limitations regarding cybersecurity in the energy sector. This is associated with opening the control system to the internet and thus cre ating opportunities for adversarials to break into the critical infrastruc tures. Additionally\, new and untested technology could harm the entire sy stem\, but it is often skipped in favor of its needed technology and funct ionality. This can lead to unforeseeable security issues. To overcome thes e\, innovation is needed to orchestrate information while supporting the o perator in keeping an overview of the security status. One way to condense security information is to correlate the relevant information and provide interpretative information. To accomplish this\, a trust model can fulfil l these requirements.

\n

A trust model can provide a viable solution: It aggregates the information to summarized\, condensed information and a dditionally identifies the cause of possible deviations in the system to b ridge the gap between the abundance of data\, security\, and new technolog y. This approach proposes a trust security model to strengthen and expand security in energy systems by collecting existing (security) information a nd aggregating it into so-called trust facets. Additionally\, it will faci litate the identification of security issues in the energy control system through the concept of tracing. Tracing uncovers the origin of an attack b y identifying the key metrics that lead to a deviation in the calculated t rust values.

\n

Betreuer: Prof. Dr. Sebastian Lehnho ff

\n

 \;

LOCATION: END:VEVENT END:VCALENDAR

Laufende und vergangene Termine

BEGIN:VCALENDAR VERSION:2.0 PRODID:-//TYPO3/NONSGML Calendarize//EN BEGIN:VEVENT UID:calendarize-zugangsausschuss-masterstudiengang-informatik-23-1-2-2-1-2 0250219 DTSTAMP:20250122T162043Z DTSTART:20250219T140000Z DTEND:20250319T144500Z SUMMARY:Zugangsausschuss Masterstudiengang Informatik DESCRIPTION:Der Zugangsausschuss tagt ab Bewerbungsbeginn ca. einmal monat lich.Die Bewerbungsunterlagen müssen mindestens 1 Woche vor dem Sitzungst ermin eingereicht worden sein\, damit die Bewerbung an diesem Tage behande lt werden kann.Mit der Benachrichtigung (Studienplatzzusage) durch das Imm atrikulationsamt ist ca. 14 Tage nach dem Sitzungstermin zu rechnen.Sobald Sie eine Zusage haben\, müssen Sie sich für den zugesagten Master-Studi enplatz einschreiben. Erst mit der Einschreibung in den Studiengang sind S ie offiziell Master-Student*in.\nBewerbungen von Kandidat*innen mit inlän dischem Bachelorabschluss können theoretisch bis zum Ende des Semesters ( im WiSe 30.9.\, SoSe 31.3.). eingereicht werden - in der Praxis erhalten S ie bei einer so späten Bewerbung aber Ihre Studienplatzzusage und die erf orderliche Berechtigungen erst nach Beginn der Veranstaltungen.\nFür Inte ressent*innen mit einem Bachelor-Abschluss aus einem Drittland ist keine D irektbewerbung an der Universität vorgesehen und es gelten frühere Frist en (siehe Bewerbung für das Studium in Oldenburg).\n\n X-ALT-DESC;FMTTYPE=text/html:
  • Der Zugangsausschuss tagt ab Bewerbun gsbeginn ca. einmal monatlich.
  • Die Bewerbungsunterlagen müssen mi ndestens 1 Woche vor dem Sitzungstermin eingereicht worden sein\, damit di e Bewerbung an diesem Tage behandelt werden kann.
  • Mit der Benachri chtigung (Studienplatzzusage) durch das Immatrikulationsamt ist ca. 14 Tag e nach dem Sitzungstermin zu rechnen.
  • Sobald Sie eine Zusage haben \, müssen Sie sich für den zugesagten Master-Studienplatz einsch reiben. Erst mit der Einschreibung in den Studiengang sind Sie of fiziell Master-Student*in.
\n

Bewerbungen von Kandidat*innen mit inländischem Bachelorabschluss können theoretisch bis zum Ende des Semesters (im WiSe 30.9.\, SoSe 3 1.3.). eingereicht werden - in der Praxis erhalten Sie bei einer so späte n Bewerbung aber Ihre Studienplatzzusage und die erforderliche Berechtigun gen erst nach Beginn der Veranstaltungen.

\n

Für Interessent* innen mit einem Bachelor-Abschluss aus einem Drittland ist keine Direktbew erbung an der Universität vorgesehen und es gelten frühere Fristen (sieh e Bewerbung für das Studium in Oldenbur g).

\n\n LOCATION: END:VEVENT END:VCALENDAR
Zum Seitananfang scrollen Scroll to the top of the page