Understanding each-other: Engineering challenges and opportunities for users and systems in the deep learning era

Spano L. D.
2019-01-01

Abstract

In this paper, we discuss the impact of Deep Learning (DL) techniques in the present and future of the interactive system engineering. On the one hand, the support for more complex vocabularies offers opportunities in better shaping the communication between the user and the system. On the other hand, we identify challenges related to the lack of transparency and explainability in the trained models, which have a negative impact on system understanding for both developers and users.
2019
Inglese
HCI Engineering 2019 – Methods and Tools for Advanced Interactive Systems and Integration of Multiple Stakeholder Viewpoints
CEUR-WS
2503
56
62
7
2019 Joint HCI Engineering - Methods and Tools for Advanced Interactive Systems and Integration of Multiple Stakeholder Viewpoints, HCI Engineering 2019
Esperti anonimi
18 June 2019
Valencia, Spain
scientifica
Classification; Deep learning; Explainable user interface; Input; Intelligent user interface; Output; Training; User interface engineering
no
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
Spano, L. D.
273
1
4.1 Contributo in Atti di convegno
open
info:eu-repo/semantics/conferencePaper
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