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Explaining Automations in IoT Settings
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AI
DOI：10.1109/ACCESS.2025.3609900.png)
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Abstract
En 中文
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.
Keywords:
Home automation
Internet of Things
end-user development
conversational agents
explainability
Journal
IF:
3.6
Papers:
9.8W
Citations:
29.4W