Combining symbolic and data-driven methods for goal recognition


Wilken, Nils ; Stuckenschmidt, Heiner ; Bartelt, Christian



Document Type: Conference or workshop publication
Year of publication: 2021
Book title: 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)
Page range: tba
Conference title: PerCom'21 PhD Forum
Location of the conference venue: Online
Date of the conference: 22.-26.03.2021
Place of publication: Piscataway, NJ
Publishing house: IEEE Computer Society
Publication language: English
Institution: Außerfakultäre Einrichtungen > Institut für Enterprise Systems (InES)
School of Business Informatics and Mathematics > Praktische Informatik II (Stuckenschmidt 2009-)
Subject: 004 Computer science, internet
Abstract: Recently, there is an increased research interest in context-aware systems that are able to autonomously and intelligently support users with their tasks. An important feature of such systems is the ability to dynamically adapt to the current needs of their users. Hence, it is critical for such systems to be able to recognize the current activities and goals of their users. While there is some work on the problem of goal recognition in this context, the majority of research works focus on the problem of recognizing a user's current activities. Further, the existing methods mostly rely on purely symbolic methods, which have problems to handle low signals in the observed user data. As a consequence, these approaches are not able to reliably recognize the user goals as early as it should be possible, based on the information contained in the observed data. This significantly reduces the usefulness of the recognized goals for context-aware support systems, because it reduces the amount of time the system has to react to recognized goals. Hence, in our research, we focus on the combination of symbolic and data-driven methods to hybrid methods for goal recognition and their application in the context of pervasive computing environments like smart homes.

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