Collaborative Job Seeking for People with Autism: Challenges and Design Opportunities
Zinat Ara, Amrita Ganguly, Donna Peppard, Dongjun Chung, Slobodan Vucetic, Vivian Genaro Motti, Sungsoo Ray Hong
Abstract
Successful job search results from job seekers' well-shaped social communication. While well-known differences in communication exist between people with autism and neurotypicals, little is known about how people with autism collaborate with their social surroundings to strive in the job market. To better understand the practices and challenges of collaborative job seeking for people with autism, we interviewed 20 participants including applicants with autism, their social surroundings, and career experts. Through the interviews, we identified social challenges that people with autism face during their job seeking; the social support they leverage to be successful; and the technological limitations that hinder their collaboration. We designed four probes that represent major collaborative features found from the interviews-executive planning, communication, stage-wise preparation, and neurodivergent community formation-and discussed their potential usefulness and impact through three focus groups. We provide implications regarding how our findings can enhance collaborative job seeking experiences for people with autism through new designs.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext 5f6f7c7f-902e-48c5-9237-2e1c348e89b4Cited by top-tier papers3
- Reimagining Support: Exploring Autistic Individuals' Visions for AI in Coping with Negative Self-TalkBuse Çarik, Victoria V. Izaac, Xiaohan Ding, Angela Scarpa et al.CHI 2025 · 19 citations
- Value Sensitive Design for Fair Online Recruitment: A Conceptual Framework Informed by Job seekers’ Fairness ConcernsChangyang He, Yue Deng, Alessandro Fabris, Bo Li et al.CSCW 2026 · 1 citation
- Expecting Too Much, Getting Too Little: Exploring the Challenges and Design Opportunities of Asynchronous AI InterviewersMd Nazmus Sakib, Naga Manogna Rayasam, Sanorita DeyCSCW 2026
Builds on4
- FlatMagic: Improving Flat Colorization through AI-driven Design for Digital Comic ProfessionalsChuan Yan, John Joon Young Chung, Yoon Kiheon, Yotam I. Gingold et al.CHI 2022 · 50 citations
- Positive Feedback and Self-Reflection: Features to Support Self-efficacy among Underrepresented Job SeekersTawanna R. Dillahunt, Joey Chiao-Yin HsiaoCHI 2020 · 35 citations
- Implications for Supporting Marginalized Job Seekers: Lessons from Employment CentersTawanna R. Dillahunt, Matthew Garvin, Marcy Held, Julie HuiCSCW 2021 · 28 citations
- "Finding the Magic Sauce": Exploring Perspectives of Recruiters and Job Seekers on Recruitment Bias and Automated ToolsMitra Lashkari, Jinghui ChengCHI 2023 · 14 citations
Related papers
- Enhancing Interview Preparation for Autistic Job Seekers through Human-AI CollaborationElizabeth Garrison, Stephen MacNeil, Sungsoo Ray Hong, Zinat Ara et al.CSCW 2026
- Lost in Translation: Understanding Autistic-Neurotypical Communication Style Differences in Job PostingsHuining Feng, Zinat Ara, Andrew Hundt, Slobodan Vucetic et al.CHI 2026 · 1 citation
- Understanding Online Job and Housing Search Practices of Neurodiverse Young Adults to Support Their IndependenceHa Kyung Kong, Saloni Yadav, Rachel Lowy, Daniella Rose Ruzinov et al.CHI 2024 · 12 citations
- The Workplace Playbook VR: Exploring the Design Space of Virtual Reality to Foster Understanding of and Support for Autistic PeopleJennifer G. Kim, Taewan Kim, Sung-In Kim, So-youn Jang et al.CSCW 2022 · 33 citations
- "My Perfect Platform Would Be Telepathy" - Reimagining the Design of Social Media with Autistic AdultsBelén Barros Pena, Nelya Koteyko, Martine Van Driel, Andrea Delgado et al.CHI 2023 · 35 citations
