Paper Number

ICIS2025-1753

Paper Type

Short

Abstract

Reflection is a key process in supporting long-term learning. However, the design of digital systems for reflective practice continues to face persistent challenges. Especially, sustaining user concentration, providing adaptive feedback, and promoting self-disclosure, remain difficult to address in technology-mediated environments. We present the initial results of a design science research project focused on design knowledge for a reflection assistant that integrates extended reality with feedback from GenAI. This information system (IS) aims to foster immersive, guided reflection by addressing three core challenges: attention management, feedback responsiveness, and user openness. Grounded in Flow Theory, we derive preliminary design principles from a structured literature review (72 papers) and qualitative user interviews (n=19). We also describe an early prototype incorporating these principles into a GenAI-based reflection tool in an XR environment. This work contributes to the IS field by offering design knowledge that leverages emerging technologies to support more effective reflective learning experiences.

Comments

08-ImmersiveTech

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Dec 14th, 12:00 AM

Design Principles for XR Reflection Assistants

Reflection is a key process in supporting long-term learning. However, the design of digital systems for reflective practice continues to face persistent challenges. Especially, sustaining user concentration, providing adaptive feedback, and promoting self-disclosure, remain difficult to address in technology-mediated environments. We present the initial results of a design science research project focused on design knowledge for a reflection assistant that integrates extended reality with feedback from GenAI. This information system (IS) aims to foster immersive, guided reflection by addressing three core challenges: attention management, feedback responsiveness, and user openness. Grounded in Flow Theory, we derive preliminary design principles from a structured literature review (72 papers) and qualitative user interviews (n=19). We also describe an early prototype incorporating these principles into a GenAI-based reflection tool in an XR environment. This work contributes to the IS field by offering design knowledge that leverages emerging technologies to support more effective reflective learning experiences.

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