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Exploring Think-aloud Method with Deaf and Hard of Hearing College Students

Published:10 July 2023Publication History

ABSTRACT

The think-aloud protocol is an effective method frequently used by designers and researchers to understand how users interact with computing systems. However, there is limited research on the use of this method with deaf and hard of hearing (DHH) populations, especially in virtual settings. In this paper, we investigate the behaviors of DHH participants in virtual think-aloud sessions to better understand the challenges of conducting this type of research with this population. We conducted twelve virtual think-aloud sessions with DHH participants using Zoom, and we gathered feedback from surveys, interviews, and observations. Our results identified DHH behaviors leading to a lack of clarity in think-aloud data, such as asynchrony between signing and navigating the interfaces, as well as the use of visual descriptive signs instead of explicit terminology to ambiguously refer to interface components. Based on our findings, we provide methodological and design implications to help researchers effectively carry out virtual think-aloud studies with DHH participants (e.g., when and how to prompt for clarification).

References

  1. Peter Afflerbach. 2001. Verbal reports and protocol analysis. In Methods of literacy research. Routledge, 97–114.Google ScholarGoogle Scholar
  2. Bhavya Bhavya, Si Chen, Zhilin Zhang, Wenting Li, Chengxiang Zhai, Lawrence Angrave, and Yun Huang. 2022. Exploring collaborative caption editing to augment video-based learning. Educational technology research and development 70, 5 (2022), 1755–1779.Google ScholarGoogle Scholar
  3. Susanne Bødker. 2006. When Second Wave HCI Meets Third Wave Challenges. In Proceedings of the 4th Nordic Conference on Human-Computer Interaction: Changing Roles (Oslo, Norway) (NordiCHI ’06). Association for Computing Machinery, New York, NY, USA, 1–8. https://doi.org/10.1145/1182475.1182476Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Riley Botelle and Chris Willott. 2020. Birth, attitudes and placentophagy: a thematic discourse analysis of discussions on UK parenting forums. BMC Pregnancy and Childbirth 20, 1 (2020), 1–10.Google ScholarGoogle ScholarCross RefCross Ref
  5. Virginia Braun and Victoria Clarke. 2006. Using thematic analysis in psychology. Qualitative research in psychology 3, 2 (2006), 77–101.Google ScholarGoogle Scholar
  6. Erica Burman and Ian Parker. 2016. Discourse analytic research: Repertoires and readings of texts in action. Routledge.Google ScholarGoogle Scholar
  7. Olga Capirci and Chiara Bonsignori. 2022. Beyond Orality: The Case of Sign Languages. Rethinking Orality I (2022), 69.Google ScholarGoogle Scholar
  8. Sambhavi Chandrashekar, Tony Stockman, Deborah Fels, and Rachel Benedyk. 2006. Using think aloud protocol with blind users: a case for inclusive usability evaluation methods. In Proceedings of the 8th international ACM SIGACCESS conference on Computers and accessibility. 251–252.Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Si Chen, Yixin Liu, Risheng Lu, Yuqian Zhou, Yi-Chieh Lee, and Yun Huang. 2022. ”Mirror, Mirror, on the Wall” - Promoting Self-Regulated Learning Using Affective States Recognition via Facial Movements. In Designing Interactive Systems Conference (Virtual Event, Australia) (DIS ’22). Association for Computing Machinery, New York, NY, USA, 1300–1314. https://doi.org/10.1145/3532106.3533500Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Xinyue Chen, Si Chen, Xu Wang, and Yun Huang. 2021. "I Was Afraid, but Now I Enjoy Being a Streamer!": Understanding the Challenges and Prospects of Using Live Streaming for Online Education. Proc. ACM Hum.-Comput. Interact. 4, CSCW3, Article 237 (jan 2021), 32 pages. https://doi.org/10.1145/3432936Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Mel Chua, Ian Smith, Miriam Nathan Lerner, Sarah Jacobs, Rita Straubhaar, Ruth Anna Spooner, and Perseus McDaniel. 2019. Does" Affordance" Mean" Thing-inform"?: Case Studies in Seeing Engineering Meaning Differently Through the Process of Technical ASL Vocabulary Creation. In 2019 ASEE Annual Conference & Exposition.Google ScholarGoogle ScholarCross RefCross Ref
  12. Kaitlyn Clark, Asma Sheikh, Jennifer Swartzenberg, Ashley Gleason, Cody Cummings, Jonathan Dominguez, Michelle Mailhot, and Christina Goudreau Collison. 2021. Sign Language Incorporation in Chemistry Education (SLICE): Building a Lexicon to Support the Understanding of Organic Chemistry. Journal of Chemical Education 99, 1 (2021), 122–128.Google ScholarGoogle ScholarCross RefCross Ref
  13. Didan Deng, Zhaokang Chen, and Bertram E Shi. 2020. Multitask emotion recognition with incomplete labels. In 2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020). IEEE, 592–599.Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Becca Dingman, Garreth W Tigwell, and Kristen Shinohara. 2021. Interview and Think Aloud Accessibility for Deaf and Hard of Hearing Participants in Design Research. In Proceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility. 1–3.Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. K Anders Ericsson and Herbert A Simon. 1998. How to study thinking in everyday life: Contrasting think-aloud protocols with descriptions and explanations of thinking. Mind, Culture, and Activity 5, 3 (1998), 178–186.Google ScholarGoogle ScholarCross RefCross Ref
  16. Mingming Fan, Yiwen Wang, Yuni Xie, Franklin Mingzhe Li, and Chunyang Chen. 2022. Understanding How Older Adults Comprehend COVID-19 Interactive Visualizations via Think-Aloud Protocol. International Journal of Human–Computer Interaction (2022), 1–17.Google ScholarGoogle Scholar
  17. Mingming Fan, Ke Wu, Jian Zhao, Yue Li, Winter Wei, and Khai N. Truong. 2020. VisTA: Integrating Machine Intelligence with Visualization to Support the Investigation of Think-Aloud Sessions. IEEE Transactions on Visualization and Computer Graphics 26, 1 (2020), 343–352. https://doi.org/10.1109/TVCG.2019.2934797Google ScholarGoogle ScholarCross RefCross Ref
  18. Mingming Fan, Qiwen Zhao, and Vinita Tibdewal. 2021. Older adults’ think-aloud verbalizations and speech features for identifying user experience problems. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. 1–13.Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. Mingming Fan, Qiwen Zhao, and Vinita Tibdewal. 2021. Older Adults’ Think-Aloud Verbalizations and Speech Features for Identifying User Experience Problems. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (Yokohama, Japan) (CHI ’21). Association for Computing Machinery, New York, NY, USA, Article 358, 13 pages. https://doi.org/10.1145/3411764.3445680Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Ryo Iijima, Akihisa Shitara, and Yoichi Ochiai. 2022. Designing Gestures for Digital Musical Instruments: Gesture Elicitation Study with Deaf and Hard of Hearing People. In Proceedings of the 24th International ACM SIGACCESS Conference on Computers and Accessibility. 1–8.Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. Adam Kendon. 1988. Parallels and divergences between Warlpiri sign language and spoken Warlpiri: Analyses of signed and spoken discourses. Oceania 58, 4 (1988), 239–254.Google ScholarGoogle ScholarCross RefCross Ref
  22. Amanda Lazar, Ben Jelen, Alisha Pradhan, and Katie A Siek. 2021. Adopting diffractive reading to advance HCI research: a case study on technology for aging. ACM Transactions on Computer-Human Interaction (TOCHI) 28, 5 (2021), 1–29.Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. Duri Long. 2023. Conducting Remote Design Research on Embodied, Collaborative Museum Exhibits. In Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems. 1–8.Google ScholarGoogle Scholar
  24. Kelly Mack, Emma McDonnell, Dhruv Jain, Lucy Lu Wang, Jon E. Froehlich, and Leah Findlater. 2021. What do we mean by “accessibility research”? A literature survey of accessibility papers in CHI and ASSETS from 1994 to 2019. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. 1–18.Google ScholarGoogle ScholarDigital LibraryDigital Library
  25. Kelly Mack, Emma McDonnell, Venkatesh Potluri, Maggie Xu, Jailyn Zabala, Jeffrey Bigham, Jennifer Mankoff, and Cynthia Bennett. 2022. Anticipate and adjust: Cultivating access in human-centered methods. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems. 1–18.Google ScholarGoogle ScholarDigital LibraryDigital Library
  26. Emma J McDonnell, Ping Liu, Steven M Goodman, Raja Kushalnagar, Jon E Froehlich, and Leah Findlater. 2021. Social, environmental, and technical: Factors at play in the current use and future design of small-group captioning. Proceedings of the ACM on Human-Computer Interaction 5, CSCW2 (2021), 1–25.Google ScholarGoogle ScholarDigital LibraryDigital Library
  27. Laura Meskanen-Kundu 2021. Remote user study: a reflection on remote user research methods during the COVID-19 pandemic. (2021).Google ScholarGoogle Scholar
  28. Prasanth Murali, Javier Hernandez, Daniel McDuff, Kael Rowan, Jina Suh, and Mary Czerwinski. 2021. Affectivespotlight: Facilitating the communication of affective responses from audience members during online presentations. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. 1–13.Google ScholarGoogle ScholarDigital LibraryDigital Library
  29. Timothy Neate, Vasiliki Kladouchou, Stephanie Wilson, and Shehzmani Shams. 2022. “Just Not Together”: The Experience of Videoconferencing for People with Aphasia during the Covid-19 Pandemic. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems. 1–16.Google ScholarGoogle ScholarDigital LibraryDigital Library
  30. Jakob Nielsen. 2012. Thinking Aloud: The #1 Usability Tool. https://www.nngroup.com/articles/thinking-aloud-the-1-usability-tool/Google ScholarGoogle Scholar
  31. Colorado Department of Human Services. 2022. Deaf, Hard of Hearing, and DeafBlind Demographics Guide. https://ccdhhdb.com/wp-content/uploads/2022/09/DHHDB-Demographics.pdfGoogle ScholarGoogle Scholar
  32. Sirpa Riihiaho 2015. Experiences with usability testing: Effects of thinking aloud and moderator presence. (2015).Google ScholarGoogle Scholar
  33. Vera Roberts and Deborah Fels. 2002. Methods for inclusion: employing think aloud protocol with individuals who are deaf. In Computers Helping People with Special Needs: 8th International Conference, ICCHP 2002 Linz, Austria, July 15–20, 2002 Proceedings 8. Springer, 284–291.Google ScholarGoogle ScholarCross RefCross Ref
  34. Vera Louise Roberts and Deborah I Fels. 2006. Methods for inclusion: Employing think aloud protocols in software usability studies with individuals who are deaf. International Journal of Human-Computer Studies 64, 6 (2006), 489–501.Google ScholarGoogle ScholarDigital LibraryDigital Library
  35. Jazz Rui Xia Ang, Ping Liu, Emma McDonnell, and Sarah Coppola. 2022. “In This Online Environment, We’re Limited”: Exploring Inclusive Video Conferencing Design for Signers. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (New Orleans, LA, USA) (CHI ’22). Association for Computing Machinery, New York, NY, USA, Article 609, 16 pages. https://doi.org/10.1145/3491102.3517488Google ScholarGoogle ScholarDigital LibraryDigital Library
  36. Matthew Seita, Sooyeon Lee, Sarah Andrew, Kristen Shinohara, and Matt Huenerfauth. 2022. Remotely Co-Designing Features for Communication Applications using Automatic Captioning with Deaf and Hearing Pairs. In CHI Conference on Human Factors in Computing Systems. 1–13.Google ScholarGoogle ScholarDigital LibraryDigital Library
  37. Marcos Serrano, Jolee Finch, Pourang Irani, Andres Lucero, and Anne Roudaut. 2022. Mold-It: Understanding how Physical Shapes affect Interaction with Handheld Freeform Devices. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems. 1–14.Google ScholarGoogle ScholarDigital LibraryDigital Library
  38. Ehsan Jahangirzadeh Soure, Emily Kuang, Mingming Fan, and Jian Zhao. 2021. CoUX: collaborative visual analysis of think-aloud usability test videos for digital interfaces. IEEE Transactions on Visualization and Computer Graphics 28, 1 (2021), 643–653.Google ScholarGoogle ScholarDigital LibraryDigital Library
  39. Gary W Taylor and Jane M Ussher. 2001. Making sense of S&M: A discourse analytic account. Sexualities 4, 3 (2001), 293–314.Google ScholarGoogle ScholarCross RefCross Ref
  40. Paul Ten Have. 2007. Doing conversation analysis. Doing Conversation Analysis (2007), 1–264.Google ScholarGoogle ScholarCross RefCross Ref
  41. Clayton Valli and Ceil Lucas. 2000. Linguistics of American sign language: An introduction. Gallaudet University Press.Google ScholarGoogle Scholar
  42. Sébastien Vandenitte. 2022. Making referents seen and heard across signed and spoken languages: Documenting and interpreting cross-modal differences in the use of enactment. Frontiers in psychology 13 (2022), 784339.Google ScholarGoogle Scholar
  43. Iris Xie, Rakesh Babu, Tae Hee Lee, Melissa Davey Castillo, Sukjin You, and Ann M Hanlon. 2020. Enhancing usability of digital libraries: Designing help features to support blind and visually impaired users. Information Processing & Management 57, 3 (2020), 102110.Google ScholarGoogle ScholarDigital LibraryDigital Library

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        cover image ACM Conferences
        DIS '23: Proceedings of the 2023 ACM Designing Interactive Systems Conference
        July 2023
        2717 pages
        ISBN:9781450398930
        DOI:10.1145/3563657

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        • Published: 10 July 2023

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