What Should I Notice? Using Algorithmic Information Theory to Evaluate the Memorability of Events in Smart Homes - Archive ouverte HAL Access content directly
Journal Articles Entropy Year : 2022

What Should I Notice? Using Algorithmic Information Theory to Evaluate the Memorability of Events in Smart Homes

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Abstract

With the increasing number of connected devices, complex systems such as smart homes record a multitude of events of various types, magnitude and characteristics. Current systems struggle to identify which events can be considered more memorable than others. In contrast, humans are able to quickly categorize some events as being more “memorable” than others. They do so without relying on knowledge of the system’s inner working or large previous datasets. Having this ability would allow the system to: (i) identify and summarize a situation to the user by presenting only memorable events; (ii) suggest the most memorable events as possible hypotheses in an abductive inference process. Our proposal is to use Algorithmic Information Theory to define a “memorability” score by retrieving events using predicative filters. We use smart-home examples to illustrate how our theoretical approach can be implemented in practice.

Dates and versions

hal-03813989 , version 1 (13-10-2022)

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Cite

Étienne Houzé, Jean-Louis Dessalles, Ada Diaconescu, David Menga. What Should I Notice? Using Algorithmic Information Theory to Evaluate the Memorability of Events in Smart Homes. Entropy, 2022, 24 (3), pp.346. ⟨10.3390/e24030346⟩. ⟨hal-03813989⟩
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