Prof. Dr. Thomas Kosch
Profil
Zusammenfassung
Prof. Dr. Thomas Kosch erforscht die Gestaltung von Mensch-Computer-Schnittstellen mit Fokus auf Arbeitskontexte – insbesondere wie Assistenzsysteme, Augmented Reality und physiologische Messungen (Blickbewegungen, EEG) die kognitive Belastung von Nutzern erfassen und reduzieren können. Seine Expertise umfasst die Entwicklung und wissenschaftliche Bewertung von interaktiven Systemen für komplexe Montageaufgaben, Arbeitsplatzunterstützung und die Unterstützung von Menschen mit kognitiven Beeinträchtigungen.
Skills
Stammdaten
Identität, Organisation und Kontakt aus HU-FIS.
- Name
- Prof. Dr. Thomas Kosch
- Titel
- Prof. Dr.
- Fakultät
- Mathematisch-Naturwissenschaftliche Fakultät
- Institut
- Institut für Informatik
- Arbeitsgruppe
- Human-Computer Interaction for Scientific Software
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- Zuletzt gescrapt
- 28.6.2026, 01:08:21
Forschungsthemen5
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Quelle ↗Förderer: Bundesministerium für Forschung, Technologie und Raumfahrt Zeitraum: 04/2026 - 03/2029 Projektleitung: Prof. Dr. Thomas Kosch
easyTEM: Entwicklung von ressourceneffizienter Transmissionselektronenmikroskopie zur Demokratisierung ihres Einsatzes in der Materialforschung
Quelle ↗Förderer: DFG Sachbeihilfe Zeitraum: 06/2026 - 05/2029 Projektleitung: Prof. Dr. Thomas Kosch
Entwicklung von Ressourceneffizenter Transmissionselektronenmikroskopie zur Demokratisierung ihres Einsatzes in der Materialforschung
Quelle ↗Förderer: DFG Sachbeihilfe Zeitraum: 04/2026 - 03/2029 Projektleitung: Prof. Christoph T. Koch, PhD, Prof. Dr. Thomas Kosch, Prof. Dr. Ulf Leser
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Publikationen25
Top 25 nach Zitationen — Quelle: OpenAlex (BAAI/bge-m3 embedded für Matching).
ACM Computing Surveys · 243 Zitationen · DOI
The ever-increasing number of computing devices around us results in more and more systems competing for our attention, making cognitive workload a crucial factor for the user experience of human-computer interfaces. Research in Human-Computer Interaction (HCI) has used various metrics to determine users’ mental demands. However, there needs to be a systematic way to choose an appropriate and effective measure for cognitive workload in experimental setups, posing a challenge to their reproducibility. We present a literature survey of past and current metrics for cognitive workload used throughout HCI literature to address this challenge. By initially exploring what cognitive workload resembles in the HCI context, we derive a categorization supporting researchers and practitioners in selecting cognitive workload metrics for system design and evaluation. We conclude with three following research gaps: (1) defining and interpreting cognitive workload in HCI, (2) the hidden cost of the NASA-TLX, and (3) HCI research as a catalyst for workload-aware systems, highlighting that HCI research has to deepen and conceptualize the understanding of cognitive workload in the context of interactive computing systems.
187 Zitationen · DOI
With increasing complexity of assembly tasks and an increasing number of product variants, instruction systems providing cognitive support at the workplace are becoming more important. Different instruction systems for the workplace provide instructions on phones, tablets, and head-mounted displays (HMDs). Recently, many systems using in-situ projection for providing assembly instructions at the workplace have been proposed and became commercially available. Although comprehensive studies comparing HMD and tablet-based systems have been presented, in-situ projection has not been scientifically compared against state-of-the-art approaches yet. In this paper, we aim to close this gap by comparing HMD instructions, tablet instructions, and baseline paper instructions to in-situ projected instructions using an abstract Lego Duplo assembly task. Our results show that assembling parts is significantly faster using in-situ projection and locating positions is significantly slower using HMDs. Further, participants make less errors and have less perceived cognitive load using in-situ instructions compared to HMD instructions.
150 Zitationen · DOI
Due to increasing complexity of products and the demographic change at manual assembly workplaces, interactive and context-aware instructions for assembling products are becoming more and more important. Over the last years, many systems using head-mounted displays (HMDs) and in-situ projection have been proposed. We are observing a trend in assistive systems using in-situ projection for supporting workers during work tasks. Recent advances in technology enable robust detection of almost every work step, which is done at workplaces. With this improvement in robustness, a continuous usage of assistive systems at the workplace becomes possible. In this work, we provide results of a long-term study in an industrial workplace with an overall runtime of 11 full workdays. In our study, each participant assembled at least three full workdays using in-situ projected instructions. We separately considered two different user groups comprising expert and untrained workers. Our results show a decrease in performance for expert workers and a learning success for untrained workers.
Kooperationen5
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