An essential part of being an individual is our personal history, in particular our episodic memories. Episodic memories revolve around events that took place in a person’s past and are typically defined by a time, place, emotional associations, and other contextual information. They form an important driver for our emotional and cognitive interpretation of what is currently happening. This
includes interactions with media technologies. However, current approaches for personalizing interactions with these technologies are neither aware of what episodic memories are triggered in users, nor of their emotional interpretations of those memories. We argue that this is a serious limitation, because it prevents applications from correctly estimating users’ experiences. In short, such technologies lack empathy. In this position paper, we argue that media technologies need an Artificial Empathic Memory (AEM) of their users to address this issue. We propose a psychologically inspired architecture, examine the challenges to be solved, and highlight how existing research can become a starting point for overcoming them.
Original languageEnglish
Title of host publicationProceedings of the 2018 Workshop on Understanding Subjective Attributes of Data, with the Focus on Evoked Emotions, EE-USAD 2018
Place of PublicationNew York, NY
PublisherAssociation for Computing Machinery (ACM)
Number of pages8
ISBN (Electronic)978-1-4503-5978-8
Publication statusPublished - 2018
EventEE-USAD 2018: 2018 Workshop on Understanding Subjective Attributes of Data, with the Focus on Evoked Emotions - Seoul, Korea, Republic of
Duration: 22 Oct 201822 Oct 2018


WorkshopEE-USAD 2018
CountryKorea, Republic of

ID: 47689043