research-article

MyrrorBot: A Digital Assistant Based on Holistic User Models for Personalized Access to Online Services

Authors:

Fedelucio Narducci,

Marco Polignano,

Marco De Gemmis,

Giovanni SemeraroAuthors Info & Claims

ACM Transactions on Information Systems (TOIS), Volume 39, Issue 4

Article No.: 46, Pages 1 - 34

https://doi.org/10.1145/3447679

Published: 16 August 2021 Publication History

Abstract

In this article, we present MyrrorBot, a personal digital assistant implementing a natural language interface that allows the users to: (i) access online services, such as music, video, news, andfood recommendations, in a personalized way, by exploiting a strategy for implicit user modeling called holistic user profiling; (ii) query their own user models, to inspect the features encoded in their profiles and to increase their awareness of the personalization process.

Basically, the system allows the users to formulate natural language requests related to their information needs. Such needs are roughly classified in two groups: quantified self-related needs (e.g., Did I sleep enough? Am I extrovert?) and personalized access to online services (e.g., Play a song I like). The intent recognition strategy implemented in the platform automatically identifies the intent expressed by the user and forwards the request to specific services and modules that generate an appropriate answer that fulfills the query.

In the experimental evaluation, we evaluated both qualitative (users’ acceptance of the system, usability) as well as quantitative (time required to complete basic tasks, effectiveness of the personalization strategy) aspects of the system, and the results showed that MyrrorBot can improve the way people access online services and applications. This leads to a more effective interaction and paves the way for further development of our system.

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MyrrorBot: A Digital Assistant Based on Holistic User Models for Personalized Access to Online Services

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cover image ACM Transactions on Information Systems

ACM Transactions on Information Systems Volume 39, Issue 4

October 2021

482 pages

ISSN:1046-8188

EISSN:1558-2868

DOI:10.1145/3477247

Editor:
Min Zhang
Tsinghua University, China

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Publication History

Published: 16 August 2021

Accepted: 01 January 2021

Revised: 01 December 2020

Received: 01 May 2020

Published in TOIS Volume 39, Issue 4

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