Write a Blog >>
REFSQ 2021
Mon 12 - Thu 15 April 2021 Germany

A Collaborative Artificial Intelligence System (CAIS), is an autonomous system that works together with humans to jointly analyze and execute activities required to achieve their common goal, each one playing their own roles. CAISs work together with Humans as teammates, taking different roles based on their strengths and compatibility. Little attention has been paid to RE for CAIS despite it being one of the emerging technologies. This thesis aims to assess the state of the art in the research literature on requirements engineering for Collaborative AI Systems (CAIS). CAIS primarily focuses on human interaction, which is one of the core aspects of fulfilling stakeholders’ needs. End-users of a product will either accept or reject a product depending on how they interact with it, therefore, many challenges must be overcome to deliver collaborative AI solutions that are acceptable by consumers and society.

Mon 12 Apr

Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

14:30 - 15:30
3 Minute thesis competition and discussionGraduate Student Event at Graduate Student Event Virtual Room
Chair(s): Marcela Ruiz ZHAW School of Engineering
14:30
6m
Talk
Domain Modelling Mistake Detection System
Graduate Student Event
Prabhsimran Singh Department of Electrical and Computer Engineering, McGill University, Gunter Mussbacher McGill University, Canada
14:36
6m
Talk
Model-Driven Development of Cross-Platform Mobile Applications by Using a Set of Heuristic Rules Based on Pre-conceptual schemas
Graduate Student Event
Jose David Mosquera-Tobón Universidad Nacional de Colombia, Carlos Zapata Universidad Nacional de Colombia
14:43
6m
Talk
RE4CAIS: Understanding RE for Collaborative Artificial Intelligence Systems
Graduate Student Event
Lawrence Araa Odong Università di Trento
14:50
6m
Talk
A Learning Corpus for a Domain Modeling Assistant to Teach Requirements Modeling
Graduate Student Event
Younes Boubekeur McGill University, Gunter Mussbacher McGill University, Canada
14:56
6m
Talk
From text to graphical models: a semi-automated iStar modeling support framework
Graduate Student Event
Yunduo Wang Beijing University of Technology
15:03
6m
Talk
Multi-stakeholder modeling with 3D and VR
Graduate Student Event
Tatiana Gordeeva KU Leuven, Elena Tiukhova KU Leuven, Monique Snoeck Katholieke Universiteit Leuven
15:10
6m
Talk
Do I Have Your Attention ? Predicting Users' Engagement During Interviews with Biofeedback, Voice, and Supervised Machine Learning
Graduate Student Event
Thaide Huichapa Kennesaw State University
15:16
6m
Talk
Algorithm for automated test case generation
Graduate Student Event
Soumya Susovita ZHAW, Marcela Ruiz ZHAW School of Engineering
15:23
6m
Talk
Design OF A detection system for oro-sensory attributes indicators of food acceptability to contribute to older adults' nutritional well-being with Alzheimer's.
Graduate Student Event
Edgar Camilo Díaz Universidad de la Sabana, Indira Sotelo Universidad de la Sabana, Gabriela Caez Universidad de la Sabana