Ehemalige Teammitglieder

Ehemalige Teammitglieder

Hier finden Sie alle Informationen zu den ehemaligen Teammitgliedern des IIS-Lehrstuhls.

Dr. Anika Nissen

Ehem. Wissenschaftliche Mitarbeiterin

Dr. Anika Nissen, M. Sc.

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Lebenslauf:

Seit April 2023: Postdoc am Lehrstuhl für Betriebs­wirtschafts­lehre, insbe­son­dere betriebliche Anwen­dungs­systeme der Fernuniversität Hagen von Prof. Dr. Stefan Smolnik

September 2018 - März 2023: Wissenschaftlicher Mitarbeiter am Lehrstuhl für Wirtschaftsinformatik und integrierte Informationssysteme der Universität Duisburg-Essen von Prof. Dr. Reinhard Schütte

  • Thema der Promotion: Investigations Along the eCommerce User Journey - A NeurolS Approach with fNIRS to Better Understand User Experience

Dezember 2017 - August 2018: Wissenschaftliche Hilfskraft am Lehrstuhl für Wirtschaftsinformatik und integrierte Informationssysteme der Universität Duisburg-Essen von Prof. Dr. Reinhard Schütte

Oktober 2015 - Juli 2018: Studium der Wirtschaftsinformatik (M. Sc.) an der Universität Duisburg-Essen (mit Auszeichnung bestanden)

  • Thema der Abschlussarbeit: Measuring the Emotional Part of User Experience: Towards a Method to Guide Emotion Assessment in HCI

August 2016 - Januar 2017: Auslandssemester an der Högskolan i Borås in Schweden

April 2016 - Dezember 2017: Studentische Hilfskraft am Lehrstuhl für Wirtschaftsinformatik und integrierte Informationssysteme der Universität Duisburg-Essen von Prof. Dr. Reinhard Schütte

Oktober 2012 - Juli 2015: Studium der Wirtschaftsinformatik (B. Sc.) an der Universität Duisburg-Essen

  • Studienschwerpunkt: IT-Management und E-Entrepreneurship
  • Thema der Abschlussarbeit: Decision Support in IT-Management: Evaluation Criteria for Performance Indicator Systems and Exemplary Application

Forschungsgebiete:

  • User Experience (UX) Messung mit psychophysiologischen Messmethoden
  • Einsatz von neurowissenschaftlichen in der Wirtschaftsinformatik
  • Messung von Effekten durch grafische Nutzeroberflächengestaltung und Marken
  • Messung und Analyse von Customer Experience in eCommerce und Einzelhandel
  • Analyse von Mensch-Roboter Interaktion

Projekte:

Publikationen:

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  • Nissen, A.: Investigations along the eCommerce user journey: a neuroIS approach with fNIRS to better understand user experience (1). Universität Duisburg-Essen, Essen 2023. VolltextBIB DownloadDetails

    The identification and satisfaction of user needs in business-to-consumer ecommerce is crucial to elicit positive experiences and establish loyalty toward the business. One major interface to the consumer is the website of the business, which can impact the user and customer experience throughout the whole journey. Current approaches that aim to measure user experience (UX) and related constructs have significant shortcomings and are often not able to uncover spontaneous processes in website users. Related neuroIS research proposes that a great part of behavior is formed by these spontaneous processes and that the utilization of additional, neurophysiological measurements can help to uncover these processes and better understand user behavior. Therefore, and to address the shortcomings of common UX measurements in ecommerce, this cumulative thesis presents 6 essays along different UX phases being pre-use, during-use, and post-/repeated-use of the ecommerce website. As a means to assess the spontaneous, potentially unconscious processes, the neuroimaging method fNIRS is utilized in the included essays. Across all papers, several responses to website design factors across UX phases could be identified on the neural level. The complementing self-reported data could reveal these effects only to a certain degree. Consequently, this thesis shows the contribution of neuroimaging (fNIRS) to UX investigation on ecommerce websites to better understand users, which helps to optimize website design and thus, UX.

  • Nissen, A.; Gier, N. R.: A Neural Investigation of eLoyalty on eCommerce Websites. In: International Conference on Information Systems (ICIS). 2021, S. 1-17. BIB DownloadDetails
  • Nissen, A.; Krampe, C.: Why He Buys It and She Doesn’t – Exploring Self-Reported and Neural Gender Differences in the Perception of eCommerce Websites. In: Computers in Human Behavior, Jg. 121 (2021) Nr. April. doi:10.1016/j.chb.2021.106809VolltextBIB DownloadDetails
  • Nissen, A.; Obermeier, G.; Gier, N. R.; Auinger, A.: Oh, What a Cognitive Relief! A NeuroIS Study on Visual Designs of Digital Signages. In: International Conference on Information Systems (ICIS). 2021, S. 1-17. BIB DownloadDetails
  • Nissen, A.; Obermeier, G.; Gier, N. R.; Schütte, R.; Auinger, A.: Consumers Prefer Abstract Design in Digital Signage: An Application of Fuzzy-Trace Theory in NeuroIS. In: NeuroIS Retreat 2021. 2021. BIB DownloadDetails
  • Nissen, A.; Riedl, R.: Design Mode, Color, and Button Shape: A Pilot Study on the Neural Effects of Website Perception. In: NeuroIS Retreat 2021. 2021, S. 1-13. BIB DownloadDetails
  • Nissen, A.; Jahn, K.: Between Anthropomorphism, Trust, and the Uncanny Valley: A Dual-Processing Perspective on Perceived Trustworthiness and Its Mediating Effects on Use Intentions of Social Robots. In: Proceedings of the 54th Hawaii International Conference on System Sciences. 2021, S. 360-369. doi:10.24251/HICSS.2021.043VolltextBIB DownloadDetails
  • Nissen, A.: Psychological and Physiological Effects of Color Use on eCommerce Websites: a Neural Study Using fNIRS. In: International Conference on Information Systems (ICIS). Hyderabad, India 2020. BIB DownloadDetails

    Colors surround us in all life situations and have the power to influence our mood and emotions, which makes color a crucial impact factor for decision making in ecommerce environments. Therefore, this research paper aims to explore the psychological and physiological effects of color use on websites with a neuroimaging method. For this, an experiment was designed in which 24 healthy participants watched an online shoe shop in 4 different colored versions during which their neural activity in the prefrontal cortex was measured. While comparing the neural activity between the different employed colors, distinct implications can be derived. That is, in comparison to the blueish website, (1) grey scaled websites require higher cognitive load but are rated as aesthetically pleasing, (2) greenish websites result in more negative valence while they require not more neural resources, and (3) reddish websites are rated low in valence and require higher neural processing resources.

  • Jahn, K.; Nissen, A.: Towards Dual Processing of Social Robots: Differences in the Automatic and Reflective System. In: International Conference on Information Systems (ICIS). Hyderabad, India 2020. BIB DownloadDetails

    Social robots increasingly diffuse into our lives in work, health, and many other areas. However, theoretical approaches that explain how social robots should be designed to maximize experiential and performance-related outcomes in human-robot interaction (HRI) are still rare. To close this research gap, we aim to develop a dual process model of HRI with the help of two experiments. Results of the first experiment show that individuals categorize humans and robots differently in the automatic and reflective system, leading to different forms of robotic biases in these systems. Specifically, whereas humans show a bias against all types of robots in the reflective system, they only show biases against robots with low anthropomorphism in the automatic system. With the second experiment, we aim to complement these results from a neurophysiological perspective to gain more insights into cognitive processes during classification and evaluation of robots.

  • Nissen, A.: Why We Love Blue Hues on Websites: a fNIRS Investigation of Color and Its Impact on the Neural Processing of eCommerce Websites. In: Davis, F. D.; Riedl, R.; vom Brocke, J.; Léger, P-M.; Randolph, A.; Fischer, T. (Hrsg.): NeuroIS Retreat. Wien 2020. BIB DownloadDetails

    Blue of all colors seems to be generally preferred by humans and animals. Consequently, the use of this color in ecommerce context has several positive effects such as increased trustworthiness and aesthetic ratings. These effects are, in this study, hypothesized to be caused by specific neural processes in the prefrontal cortex of human decision makers. Consequently, this study tackles the research question whether there is a distinct neural activation pattern for blue websites that helps to explain why blue is often most favored. To investigate this, one website is designed and manipulated in col-or to which user reactions are measured by employing functional near-infrared spectroscopy (fNIRS). The results of this study show that blue colored websites seem to require generally less processing power related to cognitive while revealing increases in brain structures related to processing pleasant and aesthetic stimuli.
     

  • Nissen, A.; Krampe, C.: Exploring Gender Differences on eCommerce Websites: A Behavioral and Neural Approach Utilizing fNIRS. In: Davis, F. D.; Riedl, R.; vom Brocke, J.; Léger, P-M.; Randolph, A.; Fischer, T. (Hrsg.): NeuroIS Retreat. Wien 2020. BIB DownloadDetails

    Whether males and females evaluate ecommerce websites differently has long been discussed and has resulted in inconsistent research findings. While some studies identified gender differences in the evaluation of websites, other studies indicate that these differences are inexistent. To shed light on these hypothetical gender differences on ecommerce website perceptions, a behavioral and functional near-infrared spectroscopy (fNIRS) experiment in which participants had to use and evaluate three different ecommerce websites was conducted. While the questionnaire-based behavioral results showed no significant differences between gender, neural gender differences could be discovered. In particular, well rated websites resulted in increased neural activity for men in brain regions of the dlPFC and vlPFC in the left hemisphere, while the lower evaluated websites resulted in an increased neural activity in brain regions of the vmPFC for men in the right hemisphere. Consequently, the results suggest that men seem to require higher neural activity for the emotional appraisal of, and decision making on ecommerce websites.

  • Nissen, A.: Exploring the Neural Correlates of Visual Aesthetics on Websites. In: Davis, Fred D.; Riedl, René; vom Brocke, Jan; Léger, Pierre-Majorique; Randolph, Adriane; Fischer, Thomas (Hrsg.): Information Systems and Neuroscience. Springer, Cham 2020, S. 211-220. doi:10.1007/978-3-030-28144-1_23BIB DownloadDetails
  • Nissen, Anika; Krampe, Caspar; Kenning, Peter; Schütte, Reinhard: Utilizing Mobile fNIRS to Investigate Neural Correlates of the TAM in eCommerce. In: International Conference for Information Systems (ICIS) (2019). BIB DownloadDetails
  • Nissen, A.; Ersöz, S.: Towards a Psychophysiological Investigation of Perceived Trustworthiness and Risk in Online Pharmacies: Results of a Pre-study.. In: Davis, F. D.; Riedl, R.; Brocke, J. Vom; Léger, P. - M; Randolph, A. B.; ; Müller-Putz, G. (Hrsg.): Information Systems and Neuroscience. , S. 9-19. doi:10.1007/978-3-030-88900-5_2BIB DownloadDetails

Gutachtertätigkeiten:

2021

  • ICIS 2021 (2 reviews)
  • HICSS 2022 (2 reviews)

2020

  • ICIS 2020 (3 reviews)
  • AMCIS 2020 (1 review)
  • HICSS 2021 (1 review)
  • WI 2021 (1 review)
  • ECIS 2021 (4 reviews)

2019

  • Internet Research (1 review)

Vorträge:

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  • Nissen, A.: Assessing the Emotional Part of User Experience - Potential of Affective Computing Methods, Multikonferenz Wirtschaftsinformatik 2018, 07.03.2018, Leuphana, Lüneburg. Details

Begleitete Abschlussarbeiten:

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  • Analyse des Technology Acceptance Models als hinreichende Erklärungsmethode der Akzeptanz von Smartwatches auf Konsumentenseite (Bachelorarbeit Wirtschaftsinformatik)
  • Nutzerzufriedenheit im E-Learning: Eine Analyse relevanter Bewertungskriterien (Bachelorarbeit Wirtschaftsinformatik)
  • Die Digitale Transformation und ihre Auswirkungen auf Mitarbeiter: Eine Untersuchung am Beispiel eines Digitalisierungsprojektes der innogy SE (Bachelorarbeit Wirtschaftsinformatik)
  • Analyse der Akzeptanz von Self-Service Technologien am Beispiel von Selbstbedienungskassen im Einzelhandel (Bachelorarbeit Wirtschaftsinformatik)
  • Die Digitale Transformation und ihre Auswirkungen auf Mitarbeiter: Eine Untersuchung am Beispiel eines Digitalisierungsprojektes der innogy SE (Bachelorarbeit Wirtschaftsinformatik)
  • Nutzerzufriedenheit im E-Learning: Eine Analyse relevanter Bewertungskriterien (Bachelorarbeit Wirtschaftsinformatik)
  • Creating a Future for Mobile Point-of-Sales: Construction of a DevOps based framework for Android development and exemplary application to a prototype (Bachelorarbeit Wirtschaftsinformatik)
  • Entwicklung eines Akzeptanzmodells für Virtual Reality im Bildungssektor auf Basis einer Befragung von Anwendern (Bachelorarbeit Wirtschaftsinformatik)
  • Visualisierung von großen Datenmengen im Business Intelligence (Bachelorarbeit Wirtschaftsinformatik)
  • Entwicklung einer Methodik zur Analyse von Informationssicherheitsrisiken im Kontext von IT-Services in Handelsunternehmen (Bachelorarbeit Wirtschaftsinformatik)
  • Analysis of behavioral changes of website users: a focus on the impact of color (Bachelorarbeit Wirtschaftsinformatik)
  • Das Internet der Dinge für smarte Parksysteme: Aktueller technischer Stand und Umfrage zum Bekanntheitsgrad (Bachelorarbeit Wirtschaftsinformatik)
  • Handlungsempfehlungen zur Steuerung von Dienstleistern im Kontext der Informationssicherheit und exemplarische Anwendung auf ein Lebensmitteleinzelhandelsunternehmen  (Masterarbeit Wirtschaftsinformatik)
  • Analyse zur Anreicherung von CRM-Systemen um umfassende Business-Analytic-Funktionen (Bachelorarbeit Betriebswirtschaftslehre)
  • Analyse des State of the Art von Brain Computer Interfaces und zukünftige Einsatzmöglichkeiten aus der Perspektive der Wirtschaftsinformatik (Bachelorarbeit Wirtschaftsinformatik)
  • Auswirkungen von Dark Patterns auf die User Experience in sozialen Netzwerken (Bachelorarbeit Wirtschaftsinformatik)
  • Investigation of Parasocial Relationships in Social Media as Influencing Factors on eCommerce Revenues (Bachelorarbeit Wirtschaftsinformatik)
  • Investigation of Parasocial Relationships in Social Media as Influencing Factors on eCommerce Revenues (Bachelorarbeit Wirtschaftsinformatik)
  • Anwendungsmöglichkeiten und -grenzen des Einsatzes von Internet of Things-Technologien in der Landwirtschaft (Bachelorarbeit Wirtschaftsinformatik)
  • Chatbots als Serviceassistenten auf eCommerce Webseiten – eine literaturbasierte Evaluation (Bachelorarbeit Wirtschaftsinformatik)
  • Nutzerzufriedenheit im E-Learning: Eine Analyse relevanter Bewertungskriterien (Bachelorarbeit Wirtschaftsinformatik)
  • Towards an automatized service management: Conceptualization and exemplary application of A CMDB data model to support automated provisioning and decommissioning activities of virtual machines in hybrid clouds (Bachelorarbeit Wirtschaftsinformatik)