Future and KM: The Future of Knowledge Management – Futuring and Design in Knowledge Management
Permanent URI for this collectionhttps://hdl.handle.net/10125/112521
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Item type: Item , Curiosity Meets Knowledge: Designing Emotionally Aware AI Through a Knowledge Management Lens(2026-01-06) Abby Sen, Abraham; Joy, Jeen; Jennex, MurrayText - based emotion- aware AI has largely been constrained to reactive classification, labeling affect without considering its contextual evolution. This paper introduces EC - WISE, a framework designed to embed emotional curiosity into conversational AI, enabling systems to proactively engage with affective signals rather than passively recognize them. Grounded in Plutchik’s Wheel of Emotions and extending the Jennex– Olfman Knowledge Management Success Model, EC - WISE conceptualizes emotion as a form of tacit knowledge that must be surfaced through context - sensitive processes. The system architecture combines lightweight preprocessing, lexicon- and embedding- based emotion scoring, and a curiosity trigger evaluator that monitors intensity variation, diversity, repetition, decline, and negation across conversational turns. When triggered, the framework poses reflective prompts tailored to the detected affect, transforming static detection into proactive inquiry. While EC - WISE remains a conceptual prototype, its design contributes theoretically by extending KM to include affective richness, and methodologically by offering an interpretable, auditable alternative to black - box approaches. Potential applications span education, healthcare, customer service, and workplace collaboration, where emotionally aware, curiosity- driven AI can foster engagement, trust, and context - sensitive interaction.Item type: Item , Rethinking Knowledge Management in the Era of LLMs: A Knowledge Management Model for Mitigating LLM Hallucination(2026-01-06) Zhang, BoLarge Language Models have the potential to greatly enhance organizational knowledge management practice. However, along with this promise comes the risk of hallucination. LLM hallucination can proliferate rapidly, threatening the quality of knowledge available to employees. This paper proposes a conceptual model to guide the mitigation of hallucination-related knowledge risks in LLM-powered knowledge management systems. Building on the Knowledge Management Cycle Model, the updated framework integrates practical hallucination mitigation strategies, including Prompt Engineering, Retrieval-Augmented Generation, Automated Verification, and Human Feedback, into each stage of the cycle. While the model remains general and conceptual, it provides a foundational roadmap for organizations to adapt knowledge practices in the age of LLMs and offers clear directions for future empirical research and refinement.Item type: Item , How to Implement Nothing-ness as a Pathway to New Knowledge: Ma – The Forgotten Dimension in Modern Knowledge Management(2026-01-06) Kaiser, Alexander; Wageneder, ErnstWhile the concept of Ba in the sense of “enabling spaces” is quite common in the field of knowledge management, the concept of Ma is almost completely overlooked in the academic literature. In this paper we argue that in modern knowledge management it is just as important to focus on the aspect of Ma as an in-between space and as a place of nothingness and as a kind of pause as it is to focus on the aspect of Ba. This paper acknowledges the value of existing and conventional approaches of Knowledge Management, especially Ba and builds upon it, yet introduces Ma as a further refinement, a concept that emphasizes the intervals, pauses, and spatial-temporal qualities through which meaning and resonance arise. In this sense, the implementation of nothing-ness could literally be seen as a pathway to new knowledge. It can be shown that there is an interesting connection between Ma and the constructs of selflessness and psychological safety. This triad could have interesting implications for modern knowledge management. As a first step, we discuss a concrete implementation of Ma in the field of education, which can be seen as a solid foundation for further work.Item type: Item , Socratic Method Revisited: Human-AI Dialogue for Knowledge Creation and Internalization(2026-01-06) Hashemi Tonekaboni, Navid; Soleymani, SaberThis paper presents the Revisited Socratic Knowledge Interaction Framework, a novel approach to human-AI collaboration in knowledge-intensive tasks. Leveraging the Socratic method, the framework systematically integrates classical Socratic elements—Elenchus (critical refutation), Maieutics (knowledge elicitation), Aporia (constructive doubt), and Dialectic (collaborative synthesis)—into human-LLM interactions. We delineate how AI augments select Socratic components, while humans retain final authority over context and ethics. Phase-guided dialogue turns confident-but-wrong outputs into testable claims that must be justified, challenged, and revised. The work describes an agentic AI model that orchestrates role-specific agents to collaboratively facilitate Socratic dialogue with users. Our full open-source implementation is publicly available on GitHub along with a live web application. Through practical scenarios in academic research and entrepreneurial planning, we demonstrate the framework's utility in fostering deeper inquiry, critical thinking, and knowledge co-creation by challenging assumptions and promoting iterative refinement. This approach reinforces an augmented intelligence paradigm by operationalizing human-in-the-loop oversight via phase-routed dialogue, explicit check-backs, and an auditable trail of reasons, leading to more trustworthy and superior co-created outcomes.Item type: Item , Speculens: AI-Augmented Mixed Reality for Imaginative Knowledge Creation and Critical Futures Discourse(2026-01-06) Thoring, Katja; Liu, Shuyun; Dreyer, Susanne; Sipos, ReginaImagination plays a vital role in generating knowledge, particularly when engaging with uncertain socio-technical futures. This paper positions imagination as a legitimate epistemic practice that enables individuals to formulate, critique, and reflect on conjectural possibilities. We introduce ‘Speculens’, an AI-augmented mixed reality system that supports knowledge creation through verbalized imagination and embodied interaction. By combining speech-to-image AI with haptic engagement, Speculens allows users to externalize future visions and encounter dynamically generated ‘artifacts-from-the-future.’ Rather than optimizing for visual fidelity, the system fosters critical discourse by prompting reflection on values, assumptions, and trajectories embedded in imagined scenarios. An exploratory study (n = 19) illustrates how such speculative interactions can support situated, affective, and interpretive knowledge work, expanding the epistemological scope of futures thinking and knowledge management.Item type: Item , Introduction to the Minitrack on The Future of Knowledge Management – Futuring and Design in Knowledge Management(2026-01-06) Kaiser, Alexander; Kragulj, Florian; Wageneder, Ernst