ACM SIGCHI General Interest Announcements (Mailing List)


Options: Use Forum View

Use Monospaced Font
Show Text Part by Default
Show All Mail Headers

Message: [<< First] [< Prev] [Next >] [Last >>]
Topic: [<< First] [< Prev] [Next >] [Last >>]
Author: [<< First] [< Prev] [Next >] [Last >>]

Print Reply
Davide Rua Carneiro <[log in to unmask]>
Reply To:
Davide Rua Carneiro <[log in to unmask]>
Mon, 20 Jan 2020 16:30:56 +0000
text/plain (83 lines)
(Apologies for cross-posting)


Workshop on Non-intrusive acquisition and fusion of context information in Ambient Intelligence (Ni-AFCiA)

Part of the 11th International Symposium on Ambient Intelligence (ISAMI)
L'Aquila (Italy)
17-19 June, 2020


********* SCOPE *********

Research on Ambient Intelligence (AmI) has been growing steadily in the last years, a proof of its interest, applicability and potential. While this growth moves the field forward, it also opens new grounds and possibilities for research.
Ambient Intelligence can be briefly described as the application of techniques of Artificial Intelligence (AI) towards the support of human users at several levels and in many different contexts such as the workplace, leisure environments or at home.
This support should be proactive, sensitive to the user’s context and state, and based on a natural interaction between the computer and the user. To this end, the collection of context information is of utmost importance, allowing to properly describe, among others, the users, their activities and their surroundings. Particularly interesting in this scope is the non-intrusive acquisition and fusion of all this important information, i.e., methods for obtaining this information that do not require the user to perform explicit, conscious or specific actions.
This workshop will create a multi-disciplinary discussion forum that will bring together researchers from the different fields addressed to discuss new methods for non-intrusive acquisition and fusion of context information, new potential sources of information a, new supporting technologies and architectures and new potential applications.

********* TOPICS *********

In order to pursue the objective of this workshop, we are inviting researchers to contribute with original and previously unpublished work related to non-intrusive acquisition and fusion of context information in Ambient Intelligence, namely from fields such as but not limited to:

• Activity Detection and Recognition.
• Context-aware Computing.
• Cognitive Assistance.
• Distributed Computing.
• Human-computer Interaction.
• Intelligent Interfaces.
• Internet of Things.
• Indoor Positioning.
• m-Health.
• Sensor Fusion.
• Soft Sensors.
• Wearable computing.
• Non-intrusive sensing.
• Emotion detection.
• Affective computing.

********* IMPORTANT DATES *********

• Submission of full papers 31 January, 2020
• Notification of acceptance 9 March, 2020
• Camera-Ready papers 30 March, 2020
• Conference Celebration 17-19 June, 2020

********* SUBMITTING PAPERS *********

Papers must be formatted according to the Springer AISC Template, with a maximum length of 8 pages, including figures and references. All proposed papers must be submitted in electronic form (PDF format) using the ISAmI conference management system.
The word and latex templates are available at: (MSWord) (LaTeX)

********* PUBLICATION *********

Accepted papers will be included in ISAmI 2020 Proceedings, published by Springer.
At least one of the authors will be required to register and attend the workshop to present the paper in order to include the paper in the conference proceedings. All accepted papers will be published by AISC Springer Verlag.

********* ORGANIZING COMMITTEE *********

• Davide Carneiro, Polytechnic of Porto, School of Management and Technology (Portugal)
• Ângelo Costa, University of Minho (Portugal)
• José Carlos Castillo, University Carlos III (Spain)


    For news of CHI books, courses & software, join CHI-RESOURCES
     mailto: [log in to unmask]

    To unsubscribe from CHI-ANNOUNCEMENTS send an email to
     mailto:[log in to unmask]

    For further details of CHI lists see