Skip to content
Book Open access

Fourth Workshop on Engineering Interactive Systems Embedding AI Technologies

Jun 2026 · Engineering Interactive Computing System · pp. 95-99 · 0 citations · 42 references
Computer Science

TL;DR

This edition aims to bring together researchers and practitioners interested in the engineering of interactive systems that embed AI technologies or that use AI during the engineering lifecycle of interactive systems to identify methods, techniques, and tools to support the use and inclusion of AI technologies throughout the engineering lifecycle for interactive systems.

Abstract

This proposal is the fourth edition of a workshop previously held at EICS 2023, 2024 and 2025. This edition aims to bring together researchers and practitioners interested in the engineering of interactive systems that embed AI technologies (e.g. AI-based recommender systems) or that use AI during the engineering lifecycle of interactive systems. The overall objective is to identify (based on experience reported by participants) methods, techniques, and tools to support the use and inclusion of AI technologies throughout the engineering lifecycle for interactive systems. A specific focus is on guaranteeing that user-relevant properties such as usability and user experience are accounted for. Contributions are also expected to address system-related properties, such as resilience, dependability, reliability, safety, security or performance. Another focus is on the identification and definition of software architectures supporting this integration in a generic way, ensuring properties such as maintainability and reusability.

Read PDF

Similar papers

Aug 2026

First Workshop on Responsible Software Engineering

The workshop hosted a half-day event featuring themed presentation tracks, interactive discussions, and a stimulating concluding panel to address responsibility issues about what constitutes the responsible development and use of technology.

Irum Inayat, Birgit Penzenstadler, Ina K. Schieferdecker et al. · 0 citations
Jul 2026

Design-System-Aware Development with AI: Evaluating Productivity and Design Consistency

A controlled experiment conducted at a large Brazilian enterprise that compares manual development, DS-only development, and DS-aware AI-assisted development across Angular, iOS, and Android stacks provides empirical evidence that DS-aware AI tools can significantly accelerate development, improve design fidelity, and...

Luciane Silva, T. Rocha, Nicole Davila et al. · 0 citations

Spring 2026 Special Workshop on the Futures of Cognitive Architectures and the ACT-R Ecosystem

This meeting was a workshop session focused on discussing workflows and ecosystems around ACT-R, a cognitive architecture software, highlighting how different researchers and practitioners use the tool in various ways, from academic research to gaming industry applications.

May Wednesday, Kevin Byrne, M. Clark et al. · 0 citations
Review Jul 2026

The Case for Vibe Modeling: A Missing Step in AI-Based Trustworthy Software Development

A student survey study is presented that examines perceptions of LLM output understanding, validation effort, trust and the perceived usefulness of vibe modeling across several AI-assisted development scenarios to inform future studies for trustworthy and explainable AI-based software engineering via vibe modeling.

Shalini Chakraborty, M. Mittermaier, Judith Michael · 0 citations
Review Open access Jul 2026

Comparative Analysis of Approaches to Embedding AI Functionality through In-Application Interfaces and Autonomous Agent Orchestrators in CRM Systems

This review examines the two approaches to embedded assistance through a seven-layer reference architecture that places each in a specific tier and clarifies why the boundary between them lies between the model and orchestration tiers.

Bhanu Chand Somarajpalli · 0 citations
Review Aug 2026

Software Engineering for and with GUI Agent

GUI agents have advanced rapidly, producing a growing body of frameworks, benchmarks, and applications. However, this growth has outpaced the maturity of the field. GUI agents remain technically brittle, incompletely engineered, and insufficiently validated for sustained real-world use. They are evolving into closed-lo...

Sheng-Cheng Yu, Yu-Chen Ling, Junyang Xing et al. · 1 citation

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.