2020/01/22 by Malin Eiband, Daniel Buschek, Eiband, Malin +3 · 1 citation
Computer Science · Social Sciences · #A.1 #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Innovative Human-Technology Interaction #Persona Design and Applications
paper · pdf · doi:10.48550/arxiv.2001.08301
openalex publication_date 2020/01/22 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
The opaque nature of many intelligent systems violates established usability\nprinciples and thus presents a challenge for human-computer interaction.\nResearch in the field therefore highlights the need for transparency,\nscrutability, intelligibility, interpretability and explainability, among\nothers. While all of these terms carry a vision of supporting users in\nunderstanding intelligent systems, the underlying notions and assumptions about\nusers and their interaction with the system often remain unclear. We review the\nliterature in HCI through the lens of implied user questions to synthesise a\nconceptual framework integrating user mindsets, user involvement, and knowledge\noutcomes to reveal, differentiate and classify current notions in prior work.\nThis framework aims to resolve conceptual ambiguity in the field and enables\nresearchers to clarify their assumptions and become aware of those made in\nprior work. We thus hope to advance and structure the dialogue in the HCI\nresearch community on supporting users in understanding intelligent systems.\n