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Sheree May Plinz-Saßmannshausen, M.Sc.

Sheree Sassmannshausen

Mail: Sheree.Sassmannshausen(at)uni-siegen.de

Room: US-D 106

Phone: +49 271 740-2395

Vita

Sheree May Plinz-Saßmannshausen is a research associate and leads the BMBF-funded project PAIRADS (Prostate Artificial Intelligence Reporting and Data System). The goal of the project is to develop a prototype for prostate cancer diagnostics in radiology, which uses artificial intelligence (AI) to assist radiologists by independently identifying and localizing prostate carcinomas in MRI images and classifying them according to the standardized PI-RADS scheme.

Previously, she led the EFRE/EU-funded research project Creactive Citizen, which aimed to develop a tool to support digital citizen participation in infrastructure projects and urban and regional development measures. She was responsible for planning and conducting a user-centered design process and exploring potential innovative visualization possibilities through technologies such as augmented reality.

Sheree studied media informatics at TH Köln, specializing in Human-Computer Interaction (HCI) for both her bachelor’s and master’s degrees. Her master’s thesis focused on the topic “Human-Centered Design of a System in Intensive Care Medicine. Applying Iterative Methods for Developing a Nursing Documentation System” and was developed during her employment at pixolus GmbH. From November 2013 to February 2019, she worked as a research associate in the Laboratory for Media Informatics at TH Köln, supervising development projects for interactive systems and courses in the areas of Human-Computer Interaction and web-based applications.

Her research interests continue to lie in the areas of Human-Computer Interaction, UX Design, and Human-Centered AI.

Publications

2024

  • Saßmannshausen, S. M., Ontika, N. N., Pinatti De Carvalho, A. F., Rouncefield, M. & Pipek, V. (2024)Amplifying Human Capabilities in Prostate Cancer Diagnosis: An Empirical Study of Current Practices and AI Potentials in Radiology

    Proceedings of the CHI Conference on Human Factors in Computing Systems. New York, NY, USA, Publisher: Association for Computing Machinery, Pages: 1–20 doi:10.1145/3613904.3642362
    [BibTeX] [Abstract] [Download PDF]

    This paper examines the potential of Human-Centered AI (HCAI) solutions to support radiologists in diagnosing prostate cancer. Prostate cancer is one of the most prevalent and increasing cancers among men. The scarcity of radiologists raises concerns about their ability to address the growing demand for prostate cancer diagnosis, leading to a significant surge in the workload of radiologists. Drawing on an HCAI approach, we sought to understand the current practices concerning radiologists’ work on detecting and diagnosing prostate cancer, as well as the challenges they face. The findings from our empirical studies point toward the potential that AI has to expedite informed decision-making and enhance accuracy, efficiency, and consistency. This is particularly beneficial for collaborative prostate cancer diagnosis processes. We discuss these results and introduce design recommendations and HCAI concepts for the domain of prostate cancer diagnosis, with the aim of amplifying the professional capabilities of radiologists.

    @inproceedings{sasmannshausen_amplifying_2024,
address = {New York, NY, USA},
series = {{CHI} '24},
title = {Amplifying {Human} {Capabilities} in {Prostate} {Cancer} {Diagnosis}: {An} {Empirical} {Study} of {Current} {Practices} and {AI} {Potentials} in {Radiology}},
isbn = {9798400703300},
shorttitle = {Amplifying {Human} {Capabilities} in {Prostate} {Cancer} {Diagnosis}},
url = {https://dl.acm.org/doi/10.1145/3613904.3642362},
doi = {10.1145/3613904.3642362},
abstract = {This paper examines the potential of Human-Centered AI (HCAI) solutions to support radiologists in diagnosing prostate cancer. Prostate cancer is one of the most prevalent and increasing cancers among men. The scarcity of radiologists raises concerns about their ability to address the growing demand for prostate cancer diagnosis, leading to a significant surge in the workload of radiologists. Drawing on an HCAI approach, we sought to understand the current practices concerning radiologists’ work on detecting and diagnosing prostate cancer, as well as the challenges they face. The findings from our empirical studies point toward the potential that AI has to expedite informed decision-making and enhance accuracy, efficiency, and consistency. This is particularly beneficial for collaborative prostate cancer diagnosis processes. We discuss these results and introduce design recommendations and HCAI concepts for the domain of prostate cancer diagnosis, with the aim of amplifying the professional capabilities of radiologists.},
urldate = {2024-05-16},
booktitle = {Proceedings of the {CHI} {Conference} on {Human} {Factors} in {Computing} {Systems}},
publisher = {Association for Computing Machinery},
author = {Saßmannshausen, Sheree May and Ontika, Nazmun Nisat and Pinatti De Carvalho, Aparecido Fabiano and Rouncefield, Mark and Pipek, Volkmar},
month = may,
year = {2024},
keywords = {contextual inquiry, human-centered AI, prostate cancer diagnosis, radiologists},
pages = {1--20},
}

2023

  • Ontika, N. N., Saßmannshausen, S. M., Pinatti De Carvalho, A. F. & Pipek, V. (2023)PAIRADS: Hybrid Interaction Between Humans and AI in Radiology

    IN HHAI 2023: Augmenting Human Intellect doi:10.3233/FAIA230108
    [BibTeX] [Download PDF] 

    @incollection{ontika_pairads_2023-1,
title = {{PAIRADS}: {Hybrid} {Interaction} {Between} {Humans} and {AI} in {Radiology}},
shorttitle = {{PAIRADS}},
url = {https://ebooks.iospress.nl/doi/10.3233/FAIA230108},
urldate = {2024-07-04},
booktitle = {{HHAI} 2023: {Augmenting} {Human} {Intellect}},
publisher = {IOS Press},
author = {Ontika, Nazmun Nisat and Saßmannshausen, Sheree May and Pinatti De Carvalho, Aparecido Fabiano and Pipek, Volkmar},
year = {2023},
doi = {10.3233/FAIA230108},
keywords = {italg},
pages = {395--397},
}

2022

  • Ontika, N. N., Saßmannshausen, S. M., Syed, H. A. & Pinatti De Carvalho, A. F. (2022)Exploring Human-Centered AI in Healthcare: A Workshop Report

    IN IRSI Report, Vol. 19, Pages: 1–54
    [BibTeX] [Abstract] [Download PDF]

    As a technique of improving the quality of life, AI has the potential to take a significant part in healthcare worldwide. However, in order to facilitate the widespread use of AI systems, we must first better comprehend the influence of AI on the healthcare sector. To create an acceptable intelligent system for healthcare, a comprehensive evaluation of ethically driven design, technology that effectively addresses human intellect, and human aspects of design is required. Our two-day workshop at the European Conference on CSCW in 2022 focused on Human-centered AI in the healthcare domain. In the workshop, we brought together researchers and practitioners in health informatics to accelerate conversations about developing usable and efficient intelligent systems that are more understandable and reliable for users.

    @article{ontika_exploring_2022-1,
series = {International reports on socio-informatics},
title = {Exploring {Human}-{Centered} {AI} in {Healthcare}: {A} {Workshop} {Report}},
volume = {19},
issn = {1861-4280},
url = {https://www.iisi.de/wp-content/uploads/2022/10/IRSI_V19I2.pdf},
abstract = {As a technique of improving the quality of life, AI has the potential to take a significant part in healthcare worldwide. However, in order to facilitate the widespread use of AI systems, we must first better comprehend the influence of AI on the healthcare sector. To create an acceptable intelligent system for healthcare, a comprehensive evaluation of ethically driven design, technology that effectively addresses human intellect, and human aspects of design is required. Our two-day workshop at the European Conference on CSCW in 2022 focused on Human-centered AI in the healthcare domain. In the workshop, we brought together researchers and practitioners in health informatics to accelerate conversations about developing usable and efficient intelligent systems that are more understandable and reliable for users.},
language = {English},
number = {2},
journal = {IRSI Report},
author = {Ontika, Nazmun Nisat and Saßmannshausen, Sheree May and Syed, Hussain Abid and Pinatti De Carvalho, Aparecido Fabiano},
editor = {Pipek, Volkmar and Rohde, Markus},
month = oct,
year = {2022},
keywords = {pairads},
pages = {1--54},
}

  • Oberschmidt, K., Grünloh, C., Doherty, K., Wolkorte, R., Saßmannshausen, S. M., Siering, L., Cajander, Å., Dolezel, M., Lifvergren, S. & van Den Driesche, K. (2022)How To Train Your Stakeholders: Skill Training In Participatory Health Research

    Adjunct Proceedings of the 2022 Nordic Human-Computer Interaction Conference. New York, NY, USA, Publisher: Association for Computing Machinery, Pages: 1–4 doi:10.1145/3547522.3547700
    [BibTeX] [Abstract] [Download PDF]

    Currently, health research increasingly involves diverse groups of stakeholders. Such collaborations occur on various levels, where in some cases, stakeholders become co-researchers. However, these stakeholders (e.g. patients) are not always trained in the necessary research skills. On the other hand, researchers are not trained to collaborate with stakeholders. While there is agreement that skill training should be offered as an integral part of participatory health, so far knowledge is lacking on what such a training should look like. This workshop aims to collect experiences from those who have either previously implemented stakeholder skill training or have experiences where stakeholder skill training was lacking but would have been beneficial, and facilitate the exchange of ideas between participants who are interested in the topic. The outcomes will be communicated in ways that are accessible for academic and non-academic stakeholders and will provide them with guidance for conducting stakeholder skill training.

    @inproceedings{oberschmidt_how_2022,
address = {New York, NY, USA},
series = {{NordiCHI} '22},
title = {How {To} {Train} {Your} {Stakeholders}: {Skill} {Training} {In} {Participatory} {Health} {Research}},
isbn = {978-1-4503-9448-2},
shorttitle = {How {To} {Train} {Your} {Stakeholders}},
url = {https://doi.org/10.1145/3547522.3547700},
doi = {10.1145/3547522.3547700},
abstract = {Currently, health research increasingly involves diverse groups of stakeholders. Such collaborations occur on various levels, where in some cases, stakeholders become co-researchers. However, these stakeholders (e.g. patients) are not always trained in the necessary research skills. On the other hand, researchers are not trained to collaborate with stakeholders. While there is agreement that skill training should be offered as an integral part of participatory health, so far knowledge is lacking on what such a training should look like. This workshop aims to collect experiences from those who have either previously implemented stakeholder skill training or have experiences where stakeholder skill training was lacking but would have been beneficial, and facilitate the exchange of ideas between participants who are interested in the topic. The outcomes will be communicated in ways that are accessible for academic and non-academic stakeholders and will provide them with guidance for conducting stakeholder skill training.},
urldate = {2022-10-10},
booktitle = {Adjunct {Proceedings} of the 2022 {Nordic} {Human}-{Computer} {Interaction} {Conference}},
publisher = {Association for Computing Machinery},
author = {Oberschmidt, Kira and Grünloh, Christiane and Doherty, Kevin and Wolkorte, Ria and Saßmannshausen, Sheree May and Siering, Lara and Cajander, Åsa and Dolezel, Michal and Lifvergren, Svante and van Den Driesche, Karin},
month = oct,
year = {2022},
pages = {1--4},
}

  • Ontika, N. N., Saßmannshausen, S. M., Syed, H. A., de Carvalho, A. F. P. & Pipek, V. (2022)‪Towards Human-Centered AI: Learning from Current Practices in Radiology‬

    [BibTeX] [Download PDF] 

    @inproceedings{ontika_towards_2022,
title = {‪{Towards} {Human}-{Centered} {AI}: {Learning} from {Current} {Practices} in {Radiology}‬},
shorttitle = {‪{Towards} {Human}-{Centered} {AI}},
url = {https://scholar.google.com/citations?view_op=view_citation&hl=de&user=3f5u4_kAAAAJ&citation_for_view=3f5u4_kAAAAJ:2osOgNQ5qMEC},
urldate = {2022-11-15},
author = {Ontika, Nazmun Nisat and Saßmannshausen, Sheree May and Syed, Hussain Abid and Carvalho, Aparecido Fabiano Pinatti de and Pipek, Volkmar},
year = {2022},
keywords = {pairads},
}

  • Ontika, N. N., Syed, H. A., Saßmannshausen, S. M., Harper, R. H., Chen, Y., Park, S. Y., Grisot, M., Chow, A., Blaumer, N., Pinatti de Carvalho, A. F. & Pipek, V. (2022)Exploring Human-Centered AI in Healthcare: Diagnosis, Explainability, and Trust

    doi:10.48340/ecscw2022_ws06
    [BibTeX] [Abstract] [Download PDF]

    AI has become an increasingly active area of research over the past few years in healthcare. Nevertheless, not all research advancements are applicable in the field as there are only a few AI solutions that are actually deployed in medical infrastructures or actively used by medical practitioners. This can be due to various reasons as the lack of a human-centered approach for the or non-incorporation of humans in the loop. In this workshop, we aim to address the questions relevant to human-centered AI solutions associated with healthcare by exploring different human-centered approaches for designing AI systems and using image-based datasets for medical diagnosis. We aim to bring together researchers and practitioners in AI, human-computer interaction, healthcare, etc., and expedite the discussions about making usable systems that will be more comprehensible and dependable. Findings from our workshop may serve as ‘terminus a quo’ to significantly improve AI solutions for medical diagnosis.

    @article{ontika_exploring_2022,
title = {Exploring {Human}-{Centered} {AI} in {Healthcare}: {Diagnosis}, {Explainability}, and {Trust}},
issn = {2510-2591},
shorttitle = {Exploring {Human}-{Centered} {AI} in {Healthcare}},
url = {https://dl.eusset.eu/handle/20.500.12015/4409},
doi = {10.48340/ecscw2022_ws06},
abstract = {AI has become an increasingly active area of research over the past few years in healthcare. Nevertheless, not all research advancements are applicable in the field as there are only a few AI solutions that are actually deployed in medical infrastructures or actively used by medical practitioners. This can be due to various reasons as the lack of a human-centered approach for the or non-incorporation of humans in the loop. In this workshop, we aim to address the questions relevant to human-centered AI solutions associated with healthcare by exploring different human-centered approaches for designing AI systems and using image-based datasets for medical diagnosis. We aim to bring together researchers and practitioners in AI, human-computer interaction, healthcare, etc., and expedite the discussions about making usable systems that will be more comprehensible and dependable. Findings from our workshop may serve as ‘terminus a quo’ to significantly improve AI solutions for medical diagnosis.},
language = {en},
urldate = {2022-06-27},
author = {Ontika, Nazmun Nisat and Syed, Hussain Abid and Saßmannshausen, Sheree May and Harper, Richard HR and Chen, Yunan and Park, Sun Young and Grisot, Miria and Chow, Astrid and Blaumer, Nils and Pinatti de Carvalho, Aparecido Fabiano and Pipek, Volkmar},
year = {2022},
note = {Accepted: 2022-06-22T04:34:51Z
Publisher: European Society for Socially Embedded Technologies (EUSSET)},
keywords = {pairads},
}

2021

  • Krauß, V., Jasche, F., Saßmannshausen, S. M., Ludwig, T. & Boden, A. (2021)Research and Practice Recommendations for Mixed Reality Design &\#x2013; Different Perspectives from the Community

    Proceedings of the 27th ACM Symposium on Virtual Reality Software and Technology. New York, NY, USA, Publisher: Association for Computing Machinery, Pages: 1–13 doi:10.1145/3489849.3489876
    [BibTeX] [Abstract] [Download PDF]

    Over the last decades, different kinds of design guides have been created to maintain consistency and usability in interactive system development. However, in the case of spatial applications, practitioners from research and industry either have difficulty finding them or perceive such guides as lacking relevance, practicability, and applicability. This paper presents the current state of scientific research and industry practice by investigating currently used design recommendations for mixed reality (MR) system development. We analyzed and compared 875 design recommendations for MR applications elicited from 89 scientific papers and documentation from six industry practitioners in a literature review. In doing so, we identified differences regarding four key topics: Focus on unique MR design challenges, abstraction regarding devices and ecosystems, level of detail and abstraction of content, and covered topics. Based on that, we contribute to the MR design research by providing three factors for perceived irrelevance and six main implications for design recommendations that are applicable in scientific and industry practice.

    @inproceedings{kraus_research_2021,
address = {New York, NY, USA},
series = {{VRST} '21},
title = {Research and {Practice} {Recommendations} for {Mixed} {Reality} {Design} \&\#x2013; {Different} {Perspectives} from the {Community}},
isbn = {978-1-4503-9092-7},
url = {https://doi.org/10.1145/3489849.3489876},
doi = {10.1145/3489849.3489876},
abstract = {Over the last decades, different kinds of design guides have been created to maintain consistency and usability in interactive system development. However, in the case of spatial applications, practitioners from research and industry either have difficulty finding them or perceive such guides as lacking relevance, practicability, and applicability. This paper presents the current state of scientific research and industry practice by investigating currently used design recommendations for mixed reality (MR) system development. We analyzed and compared 875 design recommendations for MR applications elicited from 89 scientific papers and documentation from six industry practitioners in a literature review. In doing so, we identified differences regarding four key topics: Focus on unique MR design challenges, abstraction regarding devices and ecosystems, level of detail and abstraction of content, and covered topics. Based on that, we contribute to the MR design research by providing three factors for perceived irrelevance and six main implications for design recommendations that are applicable in scientific and industry practice.},
urldate = {2022-02-08},
booktitle = {Proceedings of the 27th {ACM} {Symposium} on {Virtual} {Reality} {Software} and {Technology}},
publisher = {Association for Computing Machinery},
author = {Krauß, Veronika and Jasche, Florian and Saßmannshausen, Sheree May and Ludwig, Thomas and Boden, Alexander},
month = dec,
year = {2021},
keywords = {Augmented Reality, Design Recommendations, Design Theory and Practice, Guidelines, Mixed Reality, User Interface Design},
pages = {1--13},
}

  • Saßmannshausen, S. M., Radtke, J., Bohn, N., Hussein, H., Randall, D. & Pipek, V. (2021)Citizen-Centered Design in Urban Planning: How Augmented Reality can be used in Citizen Participation Processes

    Designing Interactive Systems Conference 2021. New York, NY, USA, Publisher: Association for Computing Machinery, Pages: 250–265 doi:10.1145/3461778.3462130
    [BibTeX] [Abstract] [Download PDF]

    Most participation processes in urban planning offer poor incentives, especially for young citizens, hence important citizen’s needs are excluded. Our work aims at identifying the degree to which Augmented Reality (AR) might motivate young people. We developed an AR-app with Unity3D to create new interaction concepts for use cases in urban planning. Building projects and environment changes are visualized, so citizens can contribute design ideas to the process. Using a human-centered design approach, we invited different stakeholders to participate. We conducted 40 interviews and a survey, then interaction concepts were evolved by citizens in four participatory design workshops. Our findings show that AR can motivate increased participation in urban planning. We also demonstrate a new approach to engaging low-tech users in designing high-tech solutions such as AR systems by using haptic 3D-tools like Lego or clay. Furthermore, we propose ways in which AR could be used collaboratively and embedded in existing participation processes.

    @inproceedings{sasmannshausen_citizen-centered_2021,
address = {New York, NY, USA},
series = {{DIS} '21},
title = {Citizen-{Centered} {Design} in {Urban} {Planning}: {How} {Augmented} {Reality} can be used in {Citizen} {Participation} {Processes}},
isbn = {978-1-4503-8476-6},
shorttitle = {Citizen-{Centered} {Design} in {Urban} {Planning}},
url = {https://doi.org/10.1145/3461778.3462130},
doi = {10.1145/3461778.3462130},
abstract = {Most participation processes in urban planning offer poor incentives, especially for young citizens, hence important citizen's needs are excluded. Our work aims at identifying the degree to which Augmented Reality (AR) might motivate young people. We developed an AR-app with Unity3D to create new interaction concepts for use cases in urban planning. Building projects and environment changes are visualized, so citizens can contribute design ideas to the process. Using a human-centered design approach, we invited different stakeholders to participate. We conducted 40 interviews and a survey, then interaction concepts were evolved by citizens in four participatory design workshops. Our findings show that AR can motivate increased participation in urban planning. We also demonstrate a new approach to engaging low-tech users in designing high-tech solutions such as AR systems by using haptic 3D-tools like Lego or clay. Furthermore, we propose ways in which AR could be used collaboratively and embedded in existing participation processes.},
urldate = {2021-07-05},
booktitle = {Designing {Interactive} {Systems} {Conference} 2021},
publisher = {Association for Computing Machinery},
author = {Saßmannshausen, Sheree May and Radtke, Jörg and Bohn, Nino and Hussein, Hassan and Randall, Dave and Pipek, Volkmar},
month = jun,
year = {2021},
keywords = {creativecitizen, augmented reality, citizen participation, human-centered design, urban planning},
pages = {250--265},
}

  • Radtke, J., Saßmannshausen, S. M. & Bohn, N. (2021)Windkraft in Nordrhein-Westfalen: Einstellungen zu Akzeptanz, Beteiligung und Konfliktlösung

    doi:10.25819/ubsi/10009
    [BibTeX] [Abstract] [Download PDF]

    In diesem Working Report werden Ergebnisse einer Umfrage in Nordrhein-Westfalen präsentiert, die Einstellungen der Bevölkerung zur Windenergie widerspiegeln. Die Abfragen zeigen, dass Klimaschutz-Maßnahmen, die Energiewende und der Ausbau der Windkraft große Zustimmung bei der Bevölkerung finden. Bei der Windenergie wird ein Nutzen für die lokale Gemeinschaft präferiert, bestenfalls durch direkten Bezug günstigen Stroms. Im Falle der Planung neuer Windparks werden detaillierte Informationen gewünscht, wobei wissenschaftlichen Informationsquellen am stärksten vertraut wird. Klassische Informationsveranstaltungen werden überwiegend bevorzugt, sehr viel weniger Online-Formate. Die Hälfte der Befragten würde eine Visualisierungs-App für das Smartphone benutzen. Finanzielle Beteiligung wird zwar stark von monetären Anreizen oder einem vergünstigen Stromtarif abhängig gemacht, wird aber auch durch Klimaschutz-Einstellungen beeinflusst. Planungskonflikte sollten durch Bürgerentscheide, Experten oder Bürgerversammlungen gelöst werden. Damit unterstreichen die Ergebnisse die Bedeutung von qualitätsvoller Informierung, Beteiligung und Neutralität für die Akzeptanz von Windenergie.

    @article{radtke_windkraft_2021,
title = {Windkraft in {Nordrhein}-{Westfalen}: {Einstellungen} zu {Akzeptanz}, {Beteiligung} und {Konfliktlösung}},
copyright = {Attribution-NoDerivatives 4.0 International},
shorttitle = {Windkraft in {Nordrhein}-{Westfalen}},
url = {https://dspace.ub.uni-siegen.de/handle/ubsi/1997},
doi = {10.25819/ubsi/10009},
abstract = {In diesem Working Report werden Ergebnisse einer Umfrage in Nordrhein-Westfalen präsentiert, die Einstellungen der Bevölkerung zur Windenergie widerspiegeln. Die Abfragen zeigen, dass Klimaschutz-Maßnahmen, die Energiewende und der Ausbau der Windkraft große Zustimmung bei der Bevölkerung finden. Bei der Windenergie wird ein Nutzen für die lokale Gemeinschaft präferiert, bestenfalls durch direkten Bezug günstigen Stroms. Im Falle der Planung neuer Windparks werden detaillierte Informationen gewünscht, wobei wissenschaftlichen Informationsquellen am stärksten vertraut wird. Klassische Informationsveranstaltungen werden überwiegend bevorzugt, sehr viel weniger Online-Formate. Die Hälfte der Befragten würde eine Visualisierungs-App für das Smartphone benutzen. Finanzielle Beteiligung wird zwar stark von monetären Anreizen oder einem vergünstigen Stromtarif abhängig gemacht, wird aber auch durch Klimaschutz-Einstellungen beeinflusst. Planungskonflikte sollten durch Bürgerentscheide, Experten oder Bürgerversammlungen gelöst werden. Damit unterstreichen die Ergebnisse die Bedeutung von qualitätsvoller Informierung, Beteiligung und Neutralität für die Akzeptanz von Windenergie.},
language = {de},
urldate = {2021-12-16},
author = {Radtke, Jörg and Saßmannshausen, Sheree May and Bohn, Nino},
year = {2021},
keywords = {creativecitizen},
}

2020

  • Radtke, J. & Saßmannshausen, S. M. (2020)Auf dem Weg zur responsiven Demokratie? Online-Öffentlichkeitsbeteiligung in der Stadtentwicklung als aktiver Link zwischen Kommunalpolitik und Bevölkerung

    IN Zeitschrift für Politikwissenschaft, Vol. 30, Pages: 329–358 doi:10.1007/s41358-020-00233-4
    [BibTeX] [Abstract] [Download PDF]

    Öffentlichkeitsbeteiligung setzt mehr und mehr auf Online-Formate. Was können neue technische Möglichkeiten im Infrastrukturkontext leisten? Lassen sich so ein stärkerer Einbezug von BürgerInnen sowie eine bessere Vermittlung und Rückkopplung zwischen lokaler Bevölkerung, Politik und Fachplanung erreichen?

    @article{radtke_auf_2020,
title = {Auf dem {Weg} zur responsiven {Demokratie}? {Online}-Öffentlichkeitsbeteiligung in der {Stadtentwicklung} als aktiver {Link} zwischen {Kommunalpolitik} und {Bevölkerung}},
volume = {30},
issn = {2366-2638},
shorttitle = {Auf dem {Weg} zur responsiven {Demokratie}?},
url = {https://doi.org/10.1007/s41358-020-00233-4},
doi = {10.1007/s41358-020-00233-4},
abstract = {Öffentlichkeitsbeteiligung setzt mehr und mehr auf Online-Formate. Was können neue technische Möglichkeiten im Infrastrukturkontext leisten? Lassen sich so ein stärkerer Einbezug von BürgerInnen sowie eine bessere Vermittlung und Rückkopplung zwischen lokaler Bevölkerung, Politik und Fachplanung erreichen?},
language = {de},
number = {2},
urldate = {2021-04-16},
journal = {Zeitschrift für Politikwissenschaft},
author = {Radtke, Jörg and Saßmannshausen, Sheree May},
month = jun,
year = {2020},
keywords = {creativecitizen},
pages = {329--358},
}

  • Saßmannshausen, S. M. & Radtke, J. (2020)Enabling citizen participation in urban planning by using Augmented Reality

    , Honolulu, HI, USA
    [BibTeX] [Download PDF] 

    @misc{sasmannshausen_enabling_2020,
address = {Honolulu, HI, USA},
title = {Enabling citizen participation in urban planning by using {Augmented} {Reality}},
url = {https://doi.org/10.1145/3334480.XXXXXXX},
author = {Saßmannshausen, Sheree May and Radtke, Jörg},
month = apr,
year = {2020},
note = {ACM 978-1-4503-6819-3/20/04.},
keywords = {citizen participation},
}

2019

  • Saßmannshausen, S. M. (2019)Menschzentrierte Konzeption eines Systems in der Intensivmedizin

    doi:10.18420/muc2019-up-0310
    [BibTeX] [Abstract] [Download PDF]

    In der Intensivmedizin hat die Pflegedokumentation für die Beurteilung von Pflegeprozessen eine hohe Bedeutung. In vielen Krankenhäusern werden die Patientendaten manuell dokumentiert, was viel Aufwand erfordert und durch die schlechte Lesbarkeit zu Fehlinterpretationen und Fehlentscheidungen führen kann. Durch die menschzentrierte Konzeption eines Systems, sollen die Pflegekräfte im Behandlungsprozess unterstützt werden. Dazu wurde ein Vorgehensmodell entwickelt, welches sich am menschzentrierten Gestaltungsprozess der DIN ISO 9241-210 orientiert und Methoden des Contextual Designs und der Thematic Analysis beinhaltet. Dadurch wurden aus der Nutzungskontextanalyse 90 funktionale Anforderungen abgeleitet, um die Gestaltungslösungen entwickeln und evaluieren zu können. Durch das Konsortium bestehend aus der pixolus GmbH, Philips und der Universitätsklinik Aachen sowie durch die Zusammenarbeit mit zwei Krankenhäusern wurde der Zugang zu realen Nutzern und deren Kontexten sichergestellt.

    @article{sasmannshausen_menschzentrierte_2019,
title = {Menschzentrierte {Konzeption} eines {Systems} in der {Intensivmedizin}},
url = {http://dl.gi.de/handle/20.500.12116/24518},
doi = {10.18420/muc2019-up-0310},
abstract = {In der Intensivmedizin hat die Pflegedokumentation für die Beurteilung von Pflegeprozessen eine hohe Bedeutung. In vielen Krankenhäusern werden die Patientendaten manuell dokumentiert, was viel Aufwand erfordert und durch die schlechte Lesbarkeit zu Fehlinterpretationen und Fehlentscheidungen führen kann. Durch die menschzentrierte Konzeption eines Systems, sollen die Pflegekräfte im Behandlungsprozess unterstützt werden. Dazu wurde ein Vorgehensmodell entwickelt, welches sich am menschzentrierten Gestaltungsprozess der DIN ISO 9241-210 orientiert und Methoden des Contextual Designs und der Thematic Analysis beinhaltet. Dadurch wurden aus der Nutzungskontextanalyse 90 funktionale Anforderungen abgeleitet, um die Gestaltungslösungen entwickeln und evaluieren zu können. Durch das Konsortium bestehend aus der pixolus GmbH, Philips und der Universitätsklinik Aachen sowie durch die Zusammenarbeit mit zwei Krankenhäusern wurde der Zugang zu realen Nutzern und deren Kontexten sichergestellt.},
language = {en},
urldate = {2021-04-16},
author = {Saßmannshausen, Sheree May},
year = {2019},
note = {Accepted: 2019-08-17T20:35:39Z
Publisher: Gesellschaft für Informatik e.V. Und German UPA e.V.},
}