Curriculum Vitae:

Since September 2018: Research Assistant at the Chair of Business Informatics and Integrated Information Systems at the University of Duisburg-Essen by Prof. Dr. Reinhard Schütte

December 2017 - August 2018: Research Aide at the Chair of Business Informatics and Integrated Information Systems at the University of Duisburg-Essen by Prof. Dr. Reinhard Schütte

Oktober 2015 - Juli 2018: Studies of Business Information Systems (M. Sc.) at the University Duisburg-Essen (passed with distinction)

• Topic of Master Thesis: Measuring the Emotional Part of User Experience: Towards a Method to Guide Emotion Assessment in HCI

August 2016 – January 2017: Semester abroad at the Högskolan i Borås in Sweden

April 2016 – December 2017: Student Assistant at the Chair of Business Informatics and Integrated Information Systems at the University of Duisburg-Essen by Prof. Dr. Reinhard Schütte

October 2012 – July 2016: Studies of Business Information Systems (B. Sc.) at the University of Duisburg-Essen

• Focus of Studies: IT-Management and E-Entrepreneurship
• Topic of Bachelor Thesis: Decision Support in IT-Management: Evaluation Criteria for Performance Indicator Systems and Exemplary Application

Fields of Research:

• User Experience (UX) measurement with psychophysiological methods
• Implementation of neuroscientific methods in Information Systems research
• Measuring effects of graphical user interface design and brands
• Measuring customer experience in ecommerce and retail
• Observation and analysis of human-robot interactions

Projects:

• Responsible for the IIS fNIRS Lab
• Project Manager/ Controller of the International Conference on Wirtschaftsinformatik 2021
• Responsible for website and marketing of WeLearnInBits

Publications:

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

  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, p. 1-17. CitationDetails
• 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, Vol 121 (2021) No April. doi:10.1016/j.chb.2021.106809Full textCitationDetails
• 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, p. 1-17. CitationDetails
• 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. CitationDetails
• 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, p. 1-13. CitationDetails
• 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, p. 360-369. doi:10.24251/HICSS.2021.043Full textCitationDetails
• 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. CitationAbstractDetails

  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. CitationAbstractDetails

  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. (Ed.): NeuroIS Retreat. Wien 2020. CitationAbstractDetails

  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. (Ed.): NeuroIS Retreat. Wien 2020. CitationAbstractDetails

  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 (Ed.): Information Systems and Neuroscience. Springer, Cham 2020, p. 211-220. doi:10.1007/978-3-030-28144-1_23CitationDetails
• 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). CitationDetails
• 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. (Ed.): Information Systems and Neuroscience. , p. 9-19. doi:10.1007/978-3-030-88900-5_2CitationDetails

Reviewing and consulting activities:

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)

Talks:

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

Courses:

Management of Large Enterprise Systems

Enterprise Systems

Tutored Theses:

• Analysis of the technology acceptance model as sufficient explanation model for consumer acceptance of smartwatches (Bachelor Thesis Business Information Systems)
• User satisfaction in elearning: an analysis of relevant evaluation criteria (Bachelor Thesis Business Information Systems)
• The digital transformation and its influence on employees: An investigation of an exemplary digitization project of the innogy SE (Bachelor Thesis Business Information Systems)
• Analysis of the Acceptance of Self-Service Technologies Using the Example of Self-Service Checkouts in the Retail Sector (Bachelor Thesis Business Information Systems)
• The digital transformation and its influence on employees: An investigation of an exemplary digitization project of the innogy SE (Bachelor Thesis Business Information Systems)
• User satisfaction in elearning: an analysis of relevant evaluation criteria (Bachelor Thesis Business Information Systems)
• Creating a Future for Mobile Point-of-Sales: Construction of a DevOps based framework for Android development and exemplary application to a prototype (Bachelor Thesis Business Information Systems)
• Development of an Acceptance Model for Applying Virtual Reality in Education Based on a Survey of Users (Bachelor Thesis Business Information Systems)
• Visualization of huge datasets in buisness intelligence (Bachelor Thesis Business Information Systems)
• Developing a method to analyse information security risks in the frame of IT services in retail companies (Bachelor Thesis Business Information Systems)
• Analysis of behavioral changes of website users: a focus on the impact of color (Bachelor Thesis Business Information Systems)
• The Internet of Things for smart parking lot systems: current technological status and awareness survey (Bachelor Thesis Business Information Systems)
• Recommendations for Controlling Service Providers in the Context of Information Security and Exemplariy Application to a Food Retailer (Master Thesis Business Information Systems)
• Analysis of enhancing CRM systems with comprehensive business analytic functions (Bachelor Thesis Business Administration)
• Analysis of the state of the art of brain computer interfaces and future application potential in the frame of business information systems (Bachelor Thesis Business Information Systems)
• Impact of Dark Patterns on the User Experience in Social Networks (Bachelor Thesis Business Information Systems)
• Investigation of Parasocial Relationships in Social Media as Influencing Factors on eCommerce Revenues (Bachelor Thesis Business Information Systems)
• Investigation of Parasocial Relationships in Social Media as Influencing Factors on eCommerce Revenues (Bachelor Thesis Business Information Systems)
• Opportunities and challenges for applying IoT technologies in argiculture (Bachelor Thesis Business Information Systems)
• Chatbots as service assistants on ecommerce websites - a literature-based evaluation (Bachelor Thesis Business Information Systems)
• User satisfaction in elearning: an analysis of relevant evaluation criteria (Bachelor Thesis Business Information Systems)
• 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 (Bachelor Thesis Business Information Systems)