W8: Designing for Inclusivity - Advancing User Experience Through Inclusive Design Methodologies

Aim of the Workshop

Inclusive design aims to address the needs of all users within software beyond systems tailored specifically for diverse individuals to underscore equal access to opportunities and resources. Inclusive design enhances software accessibility by embracing a broader, diverse population across gender, race, ethnicity, culture, sexual orientation, physical and cognitive disability, geographical region, language dialect, socio-economic status, age, and experience.

The lack of diversity in Computer Science causes diverse users to be overlooked, leading to exclusion of their concerns and considerations in software design.

Designing for Inclusivity aims to foster discussion on current and emerging HCI inclusive design methodologies, regardless of the potential gap in diverse software practitioners, exchanging ideas on inclusive software creation.

Workshop topics

We invite participating authors to submit Extended Abstracts, Research Papers, and Position Papers on inclusive design, focusing on how to promote inclusivity for individuals from diverse backgrounds. Submissions can address inclusivity across various dimensions including gender, race, ethnicity, culture, sexual orientation, physical and cognitive disability, geographical region, language dialect, socio-economic status, age, and experience in:

1. User Experience (UX) Design: Personas, prototyping, walkthroughs
2. Collaboration: Team, human-AI, pair programming
3. AR/VR: Augmented reality and virtual reality environments
4. Video Games: Video game design
5. AI/ML: Bias, stereotyping, fairness, trust, ethics
6. Large Language Models (LLMs): Conversational agents, chatbots
7. Education: CS, SE, and HCI education for K-12, undergraduate, and graduate students
8. Software Engineering: Technology design, autonomous systems, facial recognition
9. Accessibility: Technology, software development, empirical studies
10. Algorithms: Natural language processing (NLP), human-robot interaction (HRI)
11. Ethics/Policy: Data privacy, security, regulation
12. Fashion: Wearable technology, virtual clothing for avatars, social shopping platforms

Guidelines to prospective authors

Submission for the Workshop

Prospective authors should submit their proposals in PDF format through the HCII Conference Management System (CMS). They are welcome to submit ideas exploring the workshop topics in the form of Extended Abstracts, Research Papers, and Position Papers.

Extended Abstracts should be a maximum of 800-words on both existing research and potential future directions in inclusive design methodologies.

Research Papers should be a minimum of 4 pages and a maximum of 8 pages in length, with an optimal length of 6 pages.

Position Papers or Best Practices submissions should offer insightful analysis or best practices in the field, supported by evidence or experience. Position papers should be a minimum of 4 pages and a maximum of 8 pages in length, with an optimal length of 6 pages.

Submission for the Conference Proceedings

The contributions to be presented in the context of Workshops will not be automatically included in the Conference proceedings.

However, after consultation with the Workshop organizer(s), authors of accepted Workshop proposals who are registered for the Conference are welcome to submit, through the Conference Management System (CMS), an extended version of their Workshop contribution to be considered, following further peer review, for presentation at the Conference and inclusion in the “Late Breaking” volumes of the Conference proceedings, either in the LNCS as a long paper (typically 12 pages, but no less than 10 and no more than 20 pages), or in the CCIS as a short paper/extended poster abstract (typically 6 pages, but no less than 4 and no more than 11).

Workshop organizers

Shandler A. Mason

Ph.D. Student, Department of Computer Science, North Carolina State University, Raleigh, NC

Contact: samason4@ncsu.edu | LinkedIn

Shandler A. Mason is a Computer Science Ph.D. student at North Carolina State University, holding a B.S. in Computer Science with a Minor in Applied Mathematics from North Carolina Agricultural and Technical State University and a M.S. in Computer Science from North Carolina State University.

Her research, as a part of the Human Factors + Experience Engineering Lab, focuses on the intersection of Human-Computer Interaction and Software Engineering, with the goal of advancing inclusive technology through the integration of diverse perspectives and examining how software influences collaboration among developers.

Dr. Sandeep Kaur Kuttal

Associate Professor, Department of Computer Science, North Carolina State University, Raleigh, NC

Contact: skuttal@ncsu.edu | Website

Dr. Sandeep Kaur Kuttal is an Associate Professor at North Carolina State University where she directs the Human Factors + Experience Engineering Lab (Discovering and Inventing for Human-Centered SE and AI).

Her research combines Human-Computer Interaction, Software Engineering, and Artificial Intelligence. She focuses on the human aspects of software engineering by studying and modeling programmer behavior and then designing and developing mixed-initiative programmer-computer systems. She has received a best paper award at ACM CHI, best paper at ACM/IEEE ICGSE, and an honorable mention at ACM CHI. She is passionate about diversity and inclusion.