Human-Computer Interaction

Brief description

This research area stands at the intersection of advanced AI-driven information systems and human behavior. It investigates the subtle ways in which digital systems nudge human actions, while ensuring that such interactions prioritize user-centric privacy and security. The ultimate goal is to craft digital experiences that are not only seamless and intuitive but also ethically responsible.

Human-Computer Interaction
Human-Computer Interaction
  • The Trust Paradigm in Digital Interaction: In an age of increasingly interactive digital interfaces, how does the dynamic interplay of design elements (or nudges) foster trust, and what can this reveal about the broader psychology of user trust in technology?
  • The Automation Continuum in Customer Engagement: As we transition from human-driven to AI-driven customer interactions, what are the inherent biases and expectations users bring to these interactions, and how do they reshape the future landscape of sales and customer service?
  • The Evolution of Digital Privacy & Security: In a world where digital privacy and security concerns are paramount, how have our approaches and understandings evolved over time, and what emergent paradigms will define the next era of usable digital security?
  • Collective Privacy Ethics in Digital Ecosystems: As online platforms become intricate webs of shared information, how does the concept of individual privacy evolve into a collective responsibility, and what does this signify for the future of online communities?
  • The Anthropomorphism Conundrum in Smart Technologies: With the rise of smart technologies that mirror human attributes, how does anthropomorphic design influence user experience, and what ethical considerations emerge in designing machines that resonate so deeply with human sensibilities?

ATHENE PriVis Anjuli

  • Adam, A.; Benlian, A. (2024): “From Web Forms to Chatbots: The Roles of Consistency and Reciprocity for User Information Disclosure”, Information Systems Journal, forthcoming.
  • Adam, M., Roethke, K., & Benlian, A. (2023). Human Versus Automated Sales Agents: How and Why Customer Responses Shift Across Sales Stages. Information Systems Research, 34(3), 1148-1168. https://doi.org/10.1287/isre.2022.1171
  • Reuter, C., Iacono, L. L., & Benlian, A. (2022). A quarter century of usable security and privacy research: transparency, tailorability, and the road ahead. Behaviour & Information Technology, 41(10), 2035-2048.
  • Franz, A., & Benlian, A. (2022). Exploring interdependent privacy – Empirical insights into users’ protection of others’ privacy on online platforms. Electronic Markets.
  • Benlian, A., Klumpe, J., Hinz, O. (2020): „Mitigating the Intrusive Effects of Smart Home Assistants by Using Anthropomorphic Design Features: A Multimethod Investigation“, Information Systems Journal, 30 (6), 1010-1042.
  • Adam, M.; Wessel, M.; Benlian, A. (2020): “AI-based chatbots in customer service and their effects on user compliance”, Electronic Markets, 427-445.
  • Adam, M., Werner, D., Wendt, C., and Benlian, A. (2020): „Containing Covid-19 through Physical Distancing: The Impact of Real-Time Crowding Information“, European Journal of Information Systems, 29 (5), 595-607.
  • Scholz, M., Dorner, V., Schryen, G., Benlian, A. (2017): „A Configuration-based Recommender System for Supporting E-Commerce Decisions“, European Journal of Operational Research, 259 (1), 205-215.