Engineering Interactive Systems Embedding AI Technologies

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Emanuele Panizzi

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May 13, 2023, 11:25:46 AM5/13/23
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Call for paper 

Workshop on Engineering Interactive Systems Embedding AI Technologies (at EICS 2023 conference) 

https://sites.google.com/view/engineering-is-ai/home

 

Swansea, Tuesday 27th of June 2023

Deadline for submission: June 2nd, 2023 AoE via https://easychair.org/conferences/?conf=eiseait2023

Submissions: up to 6 pages Springer LNCS format  

Post-workshop publication: Springer LNCS volume 

 

You are kindly invited to submit contributions to this workshop. 

 

The main goal of this workshop is to offer a platform for scientists who are interested in the design, development, evaluation, and use of interactive systems involving AI technologies.

The first objective is to identify and gather information about knowledge and practice in the workshop’s domain:

· Get an overview of current R&D practices (methods/notations/tools) to engineer usable interactive systems embedding AI technologies, as well as lessons learned and recommendations;

· Get an overview of current R&D practices (methods/notations/tools) to architect usable interactive systems embedding AI technologies, as well as lessons learned and recommendations;

· Identify a systematic approach for describing AI technologies and assessing their impact on properties such as users’ UX and systems’ usability;

· Understand how the multiple stakeholders involved in interactive systems design and development identify properties, how they describe them, and how they assess their relative importance when they embed AI technologies (going beyond the classical UX and usability but also addressing performance, dependability, safety, ...);

· Identify  an engineering approach to find an equilibrium between (AI-based) automation and human interaction.

The second objective is to elicit the main gaps in AI technologies which hinders their exploitation in the design and development of interactive systems, especially if a user-centered design process is followed.




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Emanuele Panizzi
Associate Professor
Computer Science Department
Faculty of Information Engineering, Informatics, and Statistics
Sapienza University of Rome, Italy
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