Pumplun

Luisa Pumplun M.Sc.

Hochschulstraße 1
64289 Darmstadt

Office: S102 245

+49 6151 16-24221


Links

Research Interests

  • Transparency of intelligent systems
  • Intelligent systems in medicine
  • Management of artificial intelligence

Consultation Hour

on appointment

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Curriculum Vitae

since 12/2018 PhD student, Software & Digital Business Group at Technical University Darmstadt
12/2018 – 03/2020 Data Scientist at Serviceware SE
10/2017 – 02/2018 Semester abroad at École polytechnique fédérale de Lausanne (EPFL), Lausanne/Switzerland
10/2014 – 11/2018 Research assistant, Software & Digital Business Group at Technical University Darmstadt
10/2012 – 11/2018 Master's Degree in industrial engineering at Technical University Darmstadt
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Group by: Date | Item type | No grouping
Jump to: 2021 | 2020 | 2019
Number of items: 11.

2021

Pumplun, Luisa ; Wiefel, Jennifer ; Wächter, Katharina ; Barth, Niklas ; Buxmann, Peter (2021):
Smart Car Service Adoption: Investigating the Role of Information Privacy.
Online Conference, 25th Pacific Asia Conference on Information Systems, Dubai, UAE, [Conference item]

Engelbrecht, Adrian ; Pumplun, Luisa ; Bauer, Cordula ; Vida, Karina
Buxmann, Peter ; Schmidt, Holger (Hrsg.) (2021):
Künstliche Intelligenz im Enterprise Service Management.
In: Künstliche Intelligenz, 2, S. 149-163, Berlin, Heidelberg, Springer Gabler, ISBN 978-3-662-61793-9,
DOI: 10.1007/978-3-662-61794-6_9,
[Book section]

Sturm, Timo ; Gerlach, Jin ; Pumplun, Luisa ; Mesbah, Neda ; Peters, Felix ; Tauchert, Christoph ; Nan, Ning ; Buxmann, Peter (2021):
Coordinating Human and Machine Learning for Effective Organizational Learning.
In: MIS Quarterly, 45 (3), S. 1581-1602. DOI: 10.25300/MISQ/2021/16543,
[Article]

Pumplun, Luisa ; Fecho, Mariska ; Islam, Nihal ; Buxmann, Peter (2021):
Machine Learning Systems in Clinics – How Mature Is the Adoption Process in Medical Diagnostics?
S. 6317-6326, Online Conference, 54th Hawaii International Conference on System Sciences, 05. - 08.01.2021, [Conference item]

Reuter-Oppermann, Melanie ; Wolff, Clemens ; Pumplun, Luisa (2021):
Next Frontiers in Emergency Medical Services in Germany: Identifying Gaps between Academia and Practice.
S. 3743-3752, Online Conference, 54th Hawaii International Conference on System Sciences, [Conference item]

Pumplun, Luisa ; Fecho, Mariska ; Wahl, Nihal ; Peters, Felix ; Buxmann, Peter (2021):
Adoption of Machine Learning Systems for Medical Diagnostics in Clinics: A Qualitative Interview Study.
In: Journal of Medical Internet Research, (Forthcoming), DOI: 10.2196/29301,
[Article]

2020

Roth, Elisa ; Möncks, Mirco ; Bohné, Thomas ; Pumplun, Luisa (2020):
Context-Aware Cyber-Physical Worker Assistance in Industrial Systems: A Human Activity Recognition Approach.
Online Conference, 1st IEEE International Conference on Human-Machine Systems, 07.-09.09.2020, [Conference item]

Pumplun, Luisa ; Buxmann, Peter (2020):
Intelligent Systems and Hospitals: Joint Forces in the Name of Health?
Potsdam, Internationale Tagung Wirtschaftsinformatik (WI), [Conference item]

Mesbah, Neda ; Pumplun, Luisa (2020):
“Hello, I'm here to help you” – Medical care where it is needed most: Seniors’ acceptance of health chatbots.
A Virtual AIS Conference, European Conference on Information Systems (ECIS), 15.-17.06.2020, [Conference item]

Peters, Felix ; Pumplun, Luisa ; Buxmann, Peter (2020):
Opening the Black Box: Consumer's Willingness to Pay for Transparency of Intelligent Systems.
A Virtual AIS Conference, European Conference on Information Systems (ECIS), 15.-17.06.2020, [Conference item]

2019

Pumplun, Luisa ; Tauchert, Christoph ; Heidt, Margareta (2019):
A New Organizational Chassis for Artificial Intelligence - Exploring Organizational Readiness Factors.
European Conference on Information Systems - ECIS 2019, Stockholm, Sweden, June 8-14 2019, [Conference item]

This list was generated on Wed Dec 1 19:13:44 2021 CET.

Teaching

since WS 2018/19 (annually) Supervision of the module “IT Project Management”
since WS 2018/19 Supervision of various theses
(focus on artificial intelligence and machine learning)

Theses

on request

Currently no items available.