Workshop on "Use Cases of Designing AI-enabled Interactive Systems"

Motivation

The emergence of Artificial Intelligence has made it possible to enhance existing interactive systems but has also led to the conceptualization of innovative interactive systems, aimed at promoting efficiency, and enhancing the overall user experience. AI-enabled interactive systems accommodate the communication layer between the intelligence of the system and the end user, and are expected to be not only usable and useful, but also understandable and trustworthy.

Designing such systems entails several challenges, including designing for black box decision-making with a potentially infinite and unknown set of UI manifestations, delivering easy to understand explanations, involving end-users in requirements specification and product evaluation, and communication with software engineers.

Although designers are today equipped with several UX tools for capturing and presenting users’ experience with the products they are designing, the question that arises in the AI context is whether and how existing contemporary tools can adapt and scale to support the design of AI-enabled interactive systems.


Submit a proposal

Prospective authors should submit their proposal through the Conference Management System

Submit your Proposal

Submit a proposal

Prospective authors should submit their proposal through the Conference Management System

Submit your Proposal

Motivation

The emergence of Artificial Intelligence has made it possible to enhance existing interactive systems but has also led to the conceptualization of innovative interactive systems, aimed at promoting efficiency, and enhancing the overall user experience. AI-enabled interactive systems accommodate the communication layer between the intelligence of the system and the end user, and are expected to be not only usable and useful, but also understandable and trustworthy.

Designing such systems entails several challenges, including designing for black box decision-making with a potentially infinite and unknown set of UI manifestations, delivering easy to understand explanations, involving end-users in requirements specification and product evaluation, and communication with software engineers.

Although designers are today equipped with several UX tools for capturing and presenting users’ experience with the products they are designing, the question that arises in the AI context is whether and how existing contemporary tools can adapt and scale to support the design of AI-enabled interactive systems.

Aims and Scope

Quick Facts

Deadline for submission:
Submission open until 25 May 2021 (extended deadline)

Length of proposals: 800-1,000 words

Notification of review outcome:
1 June 2021

Deadline for registration: 30 June 2021 (new deadline)

The purpose of this workshop is to bring together, for knowledge sharing, practitioners, researchers and scholars who work on designing AI-enabled interactive systems. The focus of the workshop will be to elaborate on the issues and challenges faced in the process of designing such systems and stimulate discussions on how they can be addressed.

Besides presentation of different use cases, the workshop will employ creative activities to facilitate participants’ knowledge exchange and creative thinking. Collectively, we will explore existing practices, and generate a research and development agenda for efforts in this field.

Workshop format

The workshop will be organized as a remote (on-line) workshop and will be structured in four main parts:

  • Introduction to the workshop and keynote speech.
  • Use Case presentations. Authors of accepted submissions will present their use case during the workshop, also making sure to discuss lessons learned and problems encountered. For each use case, presentation time of approximately 10 minutes will be allocated. These presentations will set the stage for the discussions and creative activities to follow in the second part.
  • Co-creation activities. The workshop will involve structured co-creation activities as a means to generate insights and innovation.
  • Consolidation of results.

Submission Details

Prospective participants should submit a short description (800-1,000 words) of a use case describing the design of an AI-enabled interactive system. Proposals should include a short description of the use case, as well as lessons learned and/or problems faced.  The abstract can be submitted in either DOCX or PDF format, but no special formatting guidelines apply. The submission process will be handled through the Conference Management System.

Following a peer-review process, a decision will be communicated to authors. After acceptance, the authors will participate in the Workshop and give an oral presentation describing their use case.

Deadline for proposal submissions: 25 May 2021 (extended deadline)

Notification of review outcome: 1 June 2021

Deadline for conference registration: 30 June 2021 (new deadline)

Workshop Organizers and Contact

  • Jennifer Heier. Jennifer Heier is Head of UX-driven AI at the Siemens Digital Industries data lab. Besides her work in the area of industrial AI applications she is doing her PhD at the Bauhaus Universität Weimar and Karlsruhe Institute of Technology. Her research interest and focus area is on design principles, methods and tools that apply for the development of AI systems driven by the creative community.
  • Stavroula Ntoa. Stavroula is a post-doctoral researcher at the Human-Computer Interaction Laboratory, of the Institute of Computer Science, FORTH, Greece. Her current work focuses on adaptive and intelligent interfaces, universal access and accessibility of modern interactive technologies, and user experience design and evaluation in intelligent environments.            
  • Adina Panchea. Dr. Panchea is a post-doctoral researcher at Intelligent / Interactive / Integrated / Interdisciplinary Robot Lab, Interdisciplinary Institute for Technological Innovation 3IT, Université de Sherbrooke. Her research interests lie in control theory and machine learning, for the design of intelligent systems, robots and the implementation of real-time systems.
  • Robert Reynolds. Prof. Reynolds is a Computer Science Professor at the Wayne State University and Associate Research Scientist University of Michigan-Ann Arbor. His research interests include Artificial Intelligence, Game Programming, Artificial Intelligence in Games and Virtual Reality, Machine Learning, Evolutionary Computation, Cultural Algorithms, Multi-Agent Systems, Social Intelligence, Complex Systems, and Multi-Objective Problem Solving.
  • Marjorie Skubic. Dr. Skubic is a Professor in Electrical Engineering and Computer Science at the University of Missouri. Her research focuses on proactive healthcare, including in-home sensors for capturing health-related information and interactive interfaces for older adults using voice assistant platforms.

Workshop contact

For any questions regarding the workshop, please contact Stavroula Ntoa: stantoa[at]gmail.com

Registration Regulation

For oral presentation of your contribution at the Workshop, you need to be registered for the Conference by 30 June 2021 (new deadline).