Explaining Automations in IoT Settings
Author(s) -
Simone Gallo,
Sara Maenza,
Andrea Mattioli,
Fabio Paterno
Publication year - 2025
Publication title -
ieee access
Language(s) - English
Resource type - Magazines
SCImago Journal Rank - 0.587
H-Index - 127
eISSN - 2169-3536
DOI - 10.1109/access.2025.3609900
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
Automation systems are increasingly present in our everyday environments, driven by the availability of a growing number of sensors and connected devices. However, users often struggle to understand or control these systems due to a lack of clear understanding of their behaviour, especially when multiple automations are active simultaneously. This paper explores effective strategies for delivering explanations in such settings by comparing two interaction modalities: visual and conversational. This paper presents an approach to addressing such issues and a mixed-method, within-subjects study involving 16 participants that has provided valuable insights for the design of more transparent and explainable automated systems.
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