Journal Articles

  • [J.1] Saad Hassan, Oliver Alonzo, Abraham Glasser, and Matt Huenerfauth. 2021. Effect of Sign-recognition Performance on the Usability of Sign-language Dictionary Search. ACM Transactions on Accessible Computing 14, 4, Article 18 (December 2021), 33 pages.

Peer-reviewed Papers

  • [P.17] Caluã de Lacerda Pataca, Saad Hassan, Nathan Tinker, Roshan L. Peiris, and Matt Huenerfauth. 2024. Caption Royale: Exploring the Design Space of Affective Captions from the Perspective of Deaf and Hard-of-Hearing Individuals. In Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI ’24), May 11–16, 2024, Honolulu, HI, USA. ACM, New York, NY, USA, 17 pages.(Acceptance rate: 26.4%)
  • [P.16] Saad Hassan, Caluã de Lacerda Pataca, Laleh Nourian, Garreth W. Tigwell, Briana Davis, and Will Zhenya Silver Wagman. 2024. Designing and Evaluating an Advanced Dance Video Comprehension Tool with In-situ Move Identification Capabilities. In Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI ’24), May 11–16, 2024, Honolulu, HI, USA. ACM, New York, NY, USA, 19 pages. (Acceptance rate: 26.4%)
  • [P.15] Thad Starner, Sean Forbes, Matthew So, David Martin, Rohit Sridhar, Gururaj Deshpande, Sam Sepah, Sahir Shahryar, Khushi Bhardwaj, Tyler Kwok, Daksh Sehgal, Saad Hassan, Bill Neubauer, Sofia Anandi Vempala, Alec Tan, Jocelyn Heath, Unnathi Utpal Kumar, Priyanka Vijayaraghavan Mosur, Tavenner M. Hall, Rajandeep Singh, Christopher Zhang Cui, Glenn Cameron, Sohier Dane, and Garrett Tanzer. 2023. PopSign ASL v1.0: An Isolated American Sign Language Dataset Collected via Smartphones. In Proceedings of the 37th Conference on Neural Information Processing Systems Datasets and Benchmarks Track (NeurIPS '23). New Orleans, LA, USA.
  • [P.14] Matyáš Boháček and Saad Hassan. 2023. Sign Spotter: Design and Initial Evaluation of an Automatic Video-based American Sign Language Dictionary System. In The 25th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS ’23), October 22–25, 2023, New York, NY, USA. ACM, New York, NY, USA, 5 pages.
  • [P.13] Saad Hassan, Abraham Glasser, Max Shengelia, Thad Starner, Sean Forbes, Nathan Qualls, and Sam S. Sepah. 2023. Tap to Sign: Towards using American Sign Language for Text Entry on Smartphones. Proc. ACM Human-Computer Interaction 7, MHCI, Article 227 (September 2023), 23 pages
  • [P.12] Saad Hassan, Yao Ding, Agneya Abhimanyu Kerure, Christi Miller, John Burnett, Emily Biondo, and Brenden Gilbert. 2023. Exploring the Design Space of Automatically Generated Emotive Captions for Deaf or Hard of Hearing Users. In Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems (CHI EA ’23), April 23–28, 2023, Hamburg, Germany. ACM, New York, NY, USA, 10 pages. (Acceptance rate: 34%)
  • [P.10] Akhter Al Amin, Saad Hassan, Sooyeon Lee, and Matt Huenerfauth. 2023. Understanding How Deaf and Hard of Hearing Viewers Visually Explore Captioned Live TV News. In 20th International Web for All Conference (W4A ’23), April 30–May 01, 2023, Austin, TX, USA. ACM, New York, NY, USA, 12 pages. (Acceptance rate: 50%)
  • [P.10] Akhter Al Amin, Saad Hassan, Sooyeon Lee, and Matt Huenerfauth. 2023. Modeling Word Importance in Conversational Transcripts: Toward improved live captioning for Deaf and hard of hearing viewers. In 20th International Web for All Conference (W4A ’23), April 30–May 01, 2023, Austin, TX, USA. ACM, New York, NY, USA, 7 pages. (Acceptance rate: 50%)
  • [P.9] Saad Hassan, Sooyeon Lee, Dimitris Metaxas, Carol Neidle, and Matt Huenerfauth. 2022. Understanding ASL Learners’ Preferences for a Sign Language Recording and Automatic Feedback System to Support Self-Study. In Proceedings of the 24th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '22). Association for Computing Machinery, New York, NY, USA, Article 85, 1–5. (Acceptance rate: 59%)
  • [P.8] Saad Hassan, Akhter Al Amin, Caluã de Lacerda Pataca, Diego Navarro, Alexis Gordon, Sooyeon Lee, and Matt Huenerfauth. 2022. Support in the Moment: Benefits and use of video-span selection and search for sign-language video comprehension among ASL learners. In Proceedings of the 24th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '22). Association for Computing Machinery, New York, NY, USA, Article 29, 1–14. (Acceptance rate: 26.5%, Nominated for Best Paper Award)
  • [P.7] Saad Hassan, Matthew Seita, Larwan Berke, Yingli Tian, Elaine Gale, Sooyeon Lee, and Matt Huenerfauth. 2022. ASL-Homework-RGBD Dataset: An Annotated Dataset of 45 Fluent and Non-fluent Signers Performing American Sign Language Homeworks. In Proceedings of the LREC2022 10th Workshop on the Representation and Processing of Sign Languages: Multilingual Sign Language Resources, pages 67–72, Marseille, France. European Language Resources Association.
  • [P.6] Akhter Al Amin, Saad Hassan, Cecilia Alm, and Matt Huenerfauth. 2022. Using BERT Embeddings to Model Word Importance in Conversational Transcripts for Deaf and Hard of Hearing Users. In Proceedings of the Second Workshop on Language Technology for Equality, Diversity and Inclusion, pages 35–40, Dublin, Ireland. Association for Computational Linguistics.
  • [P.5] Akhter Al Amin, Saad Hassan, Sooyeon Lee, and Matt Huenerfauth. 2022. Watch It, Don’t Imagine It: Creating a Better Caption-Occlusion Metric by Collecting More Ecologically Valid Judgments from DHH Viewers. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (CHI '22). Association for Computing Machinery, New York, NY, USA, Article 459, 1–14. (Acceptance rate: 24.7%)
  • [P.4] Saad Hassan, Akhter Al Amin, Alexis Gordon, Sooyeon Lee, and Matt Huenerfauth. 2022. Design and Evaluation of Hybrid Search for American Sign Language to English Dictionaries: Making the Most of Imperfect Sign Recognition. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (CHI '22). Association for Computing Machinery, New York, NY, USA, Article 195, 1–13. (First-round acceptance rate: 12.5%)
  • [P.3] Saad Hassan, Matt Huenerfauth, and Cecilia Ovesdotter Alm. 2021. Unpacking the Interdependent Systems of Discrimination: Ableist Bias in NLP Systems through an Intersectional Lens. In Findings of the Association for Computational Linguistics: EMNLP 2021, pages 3116–3123, Punta Cana, Dominican Republic. Association for Computational Linguistics. (Aggregate Acceptance rate: 34.9%)
  • [P.2] Akhter Al Amin, Saad Hassan, and Matt Huenerfauth. 2021. Caption-occlusion Severity Judgments across Live-television Genres from Deaf and Hard-of-hearing Viewers. In Proceedings of the 18th International Web for All Conference (W4A '21). Association for Computing Machinery, New York, NY, USA, Article 26, 1–12. (Acceptance rate: 53%)
  • [P.1] Saad Hassan, Larwan Berke, Elahe Vahdani, Longlong Jing, Yingli Tian, and Matt Huenerfauth. 2020. An Isolated-Signing RGBD Dataset of 100 American Sign Language Signs Produced by Fluent ASL Signers. In Proceedings of the LREC2020 9th Workshop on the Representation and Processing of Sign Languages: Sign Language Resources in the Service of the Language Community, Technological Challenges and Application Perspectives, pages 89–94, Marseille, France. European Language Resources Association (ELRA).

Book Chapters

  • [C.2] Akhtar Amin, Saad Hassan, Matt Huenerfauth. Effect of Occlusion on Deaf and Hard of Hearing Users’ Perception of Captioned Video Quality. In: Antona, M., Stephanidis, C. (eds) Universal Access in Human-Computer Interaction. Access to Media, Learning and Assistive Environments. HCII 2021. Lecture Notes in Computer Science, vol 12769. Springer, Cham.
  • [C.1] Saad Hassan, Aiza Hasib, Suleman Shahid, Sana Asif, and Arsalan Khan. 2019. Kahaniyan - Designing for Acquisition of Urdu as a Second Language. In: Lamas, D., Loizides, F., Nacke, L., Petrie, H., Winckler, M., Zaphiris, P. (eds) Human-Computer Interaction – INTERACT 2019. INTERACT 2019. Lecture Notes in Computer Science, vol 11747. Springer, Cham. (Acceptance rate: 28%)

Non-archival Publications

  • [0.1] Saad Hassan, Oliver Alonzo, Abraham Glasser, & Matt Huenerfauth. 2020. Effect of Ranking and Precision of Results on Users’ Satisfaction with Search-by-Video Sign-Language Dictionaries. In Sign Language Recognition, Translation and Production (SLRTP) at European Conference on Computer Vision (ECCV '20) Workshop-Extended Abstracts.