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Social, Environmental, and Technical: Factors at Play in the Current Use and Future Design of Small-Group Captioning

Published: 18 October 2021 Publication History

Abstract

Real-time captioning is a critical accessibility tool for many d/Deaf and hard of hearing (DHH) people. While the vast majority of captioning work has focused on formal settings and technical innovations, in contrast, we investigate captioning for informal, interactive small-group conversations, which have a high degree of spontaneity and foster dynamic social interactions. This paper reports on semi-structured interviews and design probe activities we conducted with 15 DHH participants to understand their use of existing real-time captioning services and future design preferences for both in-person and remote small-group communication. We found that our participants' experiences of captioned small-group conversations are shaped by social, environmental, and technical considerations (e.g., interlocutors' pre-established relationships, the type of captioning displays available, and how far captions lag behind speech). When considering future captioning tools, participants were interested in greater feedback on non-speech elements of conversation (e.g., speaker identity, speech rate, volume) both for their personal use and to guide hearing interlocutors toward more accessible communication. We contribute a qualitative account of DHH people's real-time captioning experiences during small-group conversation and future design considerations to better support the groups being captioned, both in person and online.?

Supplementary Material

ZIP File (v5cscw434aux.zip)
This .zip contains only one file, "Interview Slide Deck.pdf" This PDF can be viewed by browsers and PDF readers and contains the full interview protocol that was used to conduct this study.

References

[1]
Keith Bain, Sara H. Basson, and Mike Wald. 2002. Speech recognition in university classrooms: liberated learning project. In Proceedings of the fifth international ACM conference on Assistive technologies (Assets '02), Association for Computing Machinery, New York, NY, USA, 192--196.
[2]
H.-Dirksen L. Bauman. 2004. Audism: Exploring the Metaphysics of Oppression. J Deaf Stud Deaf Educ 9, 2 (April 2004), 239--246.
[3]
Ursula Bellugi and Susan Fischer. 1972. A comparison of sign language and spoken language. Cognition 1, 2 (January 1972), 173--200.
[4]
Cynthia L. Bennett, Erin Brady, and Stacy M. Branham. 2018. Interdependence as a Frame for Assistive Technology Research and Design. In Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility - ASSETS '18, ACM Press, Galway, Ireland, 161--173.
[5]
Larwan Berke. 2017. Displaying confidence from imperfect automatic speech recognition for captioning. SIGACCESS Access. Comput. 117 (February 2017), 14--18.
[6]
Larwan Berke, Khaled Albusays, Matthew Seita, and Matt Huenerfauth. 2019. Preferred Appearance of Captions Generated by Automatic Speech Recognition for Deaf and Hard-of-Hearing Viewers. In Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, ACM, Glasgow Scotland Uk, 1--6.
[7]
Larwan Berke, Christopher Caulfield, and Matt Huenerfauth. 2017. Deaf and Hard-of-Hearing Perspectives on Imperfect Automatic Speech Recognition for Captioning One-on-One Meetings. In Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility, ACM, Baltimore Maryland USA, 155--164.
[8]
Larwan Berke, Sushant Kafle, and Matt Huenerfauth. 2018. Methods for Evaluation of Imperfect Captioning Tools by Deaf or Hard-of-Hearing Users at Different Reading Literacy Levels. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems - CHI '18, ACM Press, Montreal QC, Canada, 1--12.
[9]
Alessandra Brandão, Hugo Nicolau, Shreya Tadas, and Vicki L. Hanson. 2016. SlidePacer: A Presentation Delivery Tool for Instructors of Deaf and Hard of Hearing Students. In Proceedings of the 18th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '16), Association for Computing Machinery, New York, NY, USA, 25--32.
[10]
Virginia Braun and Victoria Clarke. 2006. Using thematic analysis in psychology. Qualitative Research in Psychology 3, 2 (January 2006), 77--101.
[11]
Virginia Braun and Victoria Clarke. 2019. Reflecting on reflexive thematic analysis. Qualitative Research in Sport, Exercise and Health 11, 4 (August 2019), 589--597.
[12]
Virginia Braun and Victoria Clarke. Thematic analysis. The University of Auckland. Retrieved January 7, 2021 from https://www.psych.auckland.ac.nz/en/about/thematic-analysis.html
[13]
Janine Butler, Brian Trager, and Byron Behm. 2019. Exploration of Automatic Speech Recognition for Deaf and Hard of Hearing Students in Higher Education Classes. In The 21st International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '19), Association for Computing Machinery, Pittsburgh, PA, USA, 32--42.
[14]
Kelly Caine. 2016. Local Standards for Sample Size at CHI. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (CHI '16), Association for Computing Machinery, New York, NY, USA, 981--992.
[15]
Anna C. Cavender, Jeffrey P. Bigham, and Richard E. Ladner. 2009. ClassInFocus: enabling improved visual attention strategies for deaf and hard of hearing students. In Proceeding of the eleventh international ACM SIGACCESS conference on Computers and accessibility - ASSETS '09, ACM Press, Pittsburgh, Pennsylvania, USA, 67.
[16]
Katie Dupere. Deaf YouTubers call out crappy captions with #NoMoreCraptions movement. Mashable. Retrieved August 7, 2020 from https://mashable.com/2016/11/11/youtube-closed-captioning-nomorecraptions/
[17]
Claire Edwards and Gill Harold. 2014. DeafSpace and the principles of universal design. Disability and Rehabilitation 36, 16 (August 2014), 1350--1359.
[18]
Lisa B. Elliot, Michael Stinson, Syed Ahmed, and Donna Easton. 2017. User Experiences When Testing a Messaging App for Communication Between Individuals who are Hearing and Deaf or Hard of Hearing. In Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility, ACM, Baltimore Maryland USA, 405--406.
[19]
Lisa Elliot, Michael Stinson, Donna Easton, and Jennifer Bourgeois. 2008. College students' learning with C-Print's educational software and automatic speech recognition. In American Educational Research Association Annual Meeting, New York, NY, USA.
[20]
Lisa Elliot, Michael Stinson, James Mallory, Donna Easton, and Matt Huenerfauth. 2016. Deaf and Hard of Hearing Individuals' Perceptions of Communication with Hearing Colleagues in Small Groups. In Proceedings of the 18th International ACM SIGACCESS Conference on Computers and Accessibility, ACM, Reno Nevada USA, 271--272.
[21]
Maria Federico and Marco Furini. 2012. Enhancing learning accessibility through fully automatic captioning. In Proceedings of the International Cross-Disciplinary Conference on Web Accessibility - W4A '12, ACM Press, Lyon, France, 1.
[22]
Foteini Filippidou and Lefteris Moussiades. 2020. ? Benchmarking of IBM, Google and Wit Automatic Speech Recognition Systems. Artificial Intelligence Applications and Innovations 583, (May 2020), 73--82.
[23]
Lance Forshay, Kristi Winter, and Emily M Bender. 2016. Sign Aloud Open Letter. Retrieved from http://faculty.washington.edu/ebender/papers/SignAloudOpenLetter.pdf
[24]
Jon Froehlich, Leah Findlater, Marilyn Ostergren, Solai Ramanathan, Josh Peterson, Inness Wragg, Eric Larson, Fabia Fu, Mazhengmin Bai, Shwetak Patel, and James A. Landay. 2012. The design and evaluation of prototype eco-feedback displays for fixture-level water usage data. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '12), Association for Computing Machinery, New York, NY, USA, 2367--2376.
[25]
Abraham T. Glasser, Kesavan R. Kushalnagar, and Raja S. Kushalnagar. 2017. Feasibility of Using Automatic Speech Recognition with Voices of Deaf and Hard-of-Hearing Individuals. In Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility, ACM, Baltimore Maryland USA, 373--374.
[26]
Steven Goodman, Susanne Kirchner, Rose Guttman, Dhruv Jain, Jon Froehlich, and Leah Findlater. 2020. Evaluating Smartwatch-based Sound Feedback for Deaf and Hard-of-hearing Users Across Contexts. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (CHI '20), Association for Computing Machinery, New York, NY, USA, 1--13.
[27]
Benjamin Gorman, Michael Crabb, and Michael Armstrong. 2021. Adaptive Subtitles: Preferences and Trade-Offs in Real-Time Media Adaption.
[28]
Michael Gower, Brent Shiver, Charu Pandhi, and Shari Trewin. 2018. Leveraging Pauses to Improve Video Captions. In Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '18), Association for Computing Machinery, Galway, Ireland, 414--416.
[29]
Rebecca Perkins Harrington and Gregg C. Vanderheiden. 2013. Crowd caption correction (CCC). In Proceedings of the 15th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '13), Association for Computing Machinery, Bellevue, Washington, 1--2.
[30]
Hearing Loss Association Of America. Position Papers - Hearing Loss Association of America. Retrieved August 13, 2020 from https://www.hearingloss.org/about-hlaa/position-papers/
[31]
Richang Hong, Meng Wang, Mengdi Xu, Shuicheng Yan, and Tat-Seng Chua. 2010. Dynamic captioning: video accessibility enhancement for hearing impairment. In Proceedings of the 18th ACM international conference on Multimedia (MM '10), Association for Computing Machinery, Firenze, Italy, 421--430.
[32]
Hilary Hutchinson, Ben Bederson, Allison Druin, Catherine Plaisant, Wendy Mackay, Helen Evans, Heiko Hansen, Stéphane Conversy, Michel Beaudouin-Lafon, Nicolas Roussel, Loïc Lacomme, Björn Eiderbäck, Sinna Lindquist, Yngve Sundblad, and Bo Westerlund. 2003. Technology Probes: Inspiring Design for and with Families. Conference on Human Factors in Computing Systems - Proceedings (February 2003).
[33]
Dhruv Jain, Leah Findlater, Jamie Gilkeson, Benjamin Holland, Ramani Duraiswami, Dmitry Zotkin, Christian Vogler, and Jon E. Froehlich. 2015. Head-Mounted Display Visualizations to Support Sound Awareness for the Deaf and Hard of Hearing. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (CHI '15), Association for Computing Machinery, Seoul, Republic of Korea, 241--250.
[34]
Dhruv Jain, Rachel Franz, Leah Findlater, Jackson Cannon, Raja Kushalnagar, and Jon Froehlich. 2018. Towards Accessible Conversations in a Mobile Context for People who are Deaf and Hard of Hearing. In Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility, ACM, Galway Ireland, 81--92.
[35]
Carl Jensema. 1998. Viewer Reaction to Different Television Captioning Speeds. American Annals of the Deaf 143, 4 (1998), 318--324.
[36]
Devva Kasnitz. 2020. The Politics of Disability Performativity: An Autoethnography. Current Anthropology 61, S21 (February 2020), S16--S25.
[37]
Saba Kawas, George Karalis, Tzu Wen, and Richard E. Ladner. 2016. Improving Real-Time Captioning Experiences for Deaf and Hard of Hearing Students. In Proceedings of the 18th International ACM SIGACCESS Conference on Computers and Accessibility, ACM, Reno Nevada USA, 15--23.
[38]
Veton Këpuska. 2017. Comparing Speech Recognition Systems (Microsoft API, Google API And Carnegie Mellon University Sphinx). IJERA 07, 03 (March 2017), 20--24.
[39]
Richard Kheir and Thomas Way. 2007. Inclusion of deaf students in computer science classes using real-time speech transcription. SIGCSE Bull. 39, 3 (June 2007), 261--265.
[40]
R S Kushalnagar, W S Lasecki, and J P Bigham. 2014. Accessibility Evaluation of Classroom Captions Accessibility Evaluation of Classroom Captions Accessibility evaluation of classroom captions. ACM Trans. Access. Comput 5, 7 (2014), 23.
[41]
Raja Kushalnagar and Poorna Kushalnagar. 2014. Collaborative Gaze Cues and Replay for Deaf and Hard of Hearing Students. In Computers Helping People with Special Needs (Lecture Notes in Computer Science), Springer International Publishing, Cham, 415--422.
[42]
Raja S. Kushalnagar, Gary W. Behm, Aaron W. Kelstone, and Shareef Ali. 2015. Tracked Speech-To-Text Display: Enhancing Accessibility and Readability of Real-Time Speech-To-Text. In Proceedings of the 17th International ACM SIGACCESS Conference on Computers & Accessibility (ASSETS '15), Association for Computing Machinery, Lisbon, Portugal, 223--230.
[43]
Raja S. Kushalnagar, Walter S. Lasecki, and Jeffrey P. Bigham. 2012. A readability evaluation of real-time crowd captions in the classroom. In Proceedings of the 14th international ACM SIGACCESS conference on Computers and accessibility (ASSETS '12), Association for Computing Machinery, Boulder, Colorado, USA, 71--78.
[44]
Raja S. Kushalnagar and Christian Vogler. 2020. Teleconference Accessibility and Guidelines for Deaf and Hard of Hearing Users. In The 22nd International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '20), Association for Computing Machinery, New York, NY, USA, 1--6.
[45]
Harlan Lane. 2005. Ethnicity, Ethics, and the Deaf-World. J Deaf Stud Deaf Educ 10, 3 (July 2005), 291--310.
[46]
Walter S. Lasecki and Jeffrey P. Bigham. 2012. Online quality control for real-time crowd captioning. In Proceedings of the 14th international ACM SIGACCESS conference on Computers and accessibility - ASSETS '12, ACM Press, Boulder, Colorado, USA, 143.
[47]
Walter S. Lasecki, Raja Kushalnagar, and Jeffrey P. Bigham. 2014. Helping students keep up with real-time captions by pausing and highlighting. In Proceedings of the 11th Web for All Conference on - W4A '14, ACM Press, Seoul, Korea, 1--8.
[48]
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, Association for Computing Machinery, Yokohama, Japan.
[49]
James R. Mallory, Michael Stinson, Lisa Elliot, and Donna Easton. 2017. Personal Perspectives on Using Automatic Speech Recognition to Facilitate Communication between Deaf Students and Hearing Customers. In Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility, ACM, Baltimore Maryland USA, 419--421.
[50]
Jennifer Mankoff, Gillian R. Hayes, and Devva Kasnitz. 2010. Disability studies as a source of critical inquiry for the field of assistive technology. In Proceedings of the 12th international ACM SIGACCESS conference on Computers and accessibility (ASSETS '10), Association for Computing Machinery, Orlando, Florida, USA, 3--10.
[51]
Matthew Louis Mauriello, Leyla Norooz, and Jon E. Froehlich. 2015. Understanding the Role of Thermography in Energy Auditing: Current Practices and the Potential for Automated Solutions. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (CHI '15), Association for Computing Machinery, New York, NY, USA, 1993--2002.
[52]
Dorian Miller, Karl Gyllstrom, David Stotts, and James Culp. 2007. Semi-transparent video interfaces to assist deaf persons in meetings. In Proceedings of the 45th annual southeast regional conference (ACM-SE 45), Association for Computing Machinery, Winston-Salem, North Carolina, 501--506.
[53]
Mia Mingus. 2017. Access Intimacy, Interdependence and Disability Justice. Leaving Evidence. Retrieved February 4, 2020 from https://leavingevidence.wordpress.com/2017/04/12/access-intimacy-interdependence-and-disability-justice/
[54]
Ross E Mitchell, Travas A Young, Bellamie Bachleda, and Michael A Karchmer. 2006. How Many People Use ASL in the United States? Why Estimates Need Updating. Sign Language Studies 6, 3 (2006), 306--335.
[55]
National Court Reporters Association. 2014. Captioning around the world. The Journal of Court Reporting. Retrieved September 16, 2020 from https://www.thejcr.com/2014/06/30/captioning-around-the-world/
[56]
Michael Oliver. 1983. Social Work with Disabled People. Macmillan.
[57]
Yi-Hao Peng, Ming-Wei Hsi, Paul Taele, Ting-Yu Lin, Po-En Lai, Leon Hsu, Tzu-chuan Chen, Te-Yen Wu, Yu-An Chen, Hsien-Hui Tang, and Mike Y. Chen. 2018. SpeechBubbles: Enhancing Captioning Experiences for Deaf and Hard-of-Hearing People in Group Conversations. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI '18), Association for Computing Machinery, Montreal QC, Canada, 1--10.
[58]
Yi-Hao Peng, JiWoong Jang, Jeffrey P. Bigham, and A. Pavel. 2021. Say It All: Feedback for Improving Non-Visual Presentation Accessibility. ArXiv (2021).
[59]
Agnès Piquard-Kipffer, Odile Mella, Jérémy Miranda, Denis Jouvet, and Luiza Orosanu. 2015. Qualitative investigation of the display of speech recognition results for communication with deaf people. In Proceedings of SLPAT 2015: 6th Workshop on Speech and Language Processing for Assistive Technologies, Association for Computational Linguistics, Dresden, Germany, 36--41.
[60]
Kevin Rathbun, Larwan Berke, Christopher Caulfield, Michael Stinson, and Matt Huenerfauth. 2017. Eye Movements of Deaf and Hard of Hearing Viewers of Automatic Captions. California State University, Northridge. (2017). Retrieved August 3, 2020 from http://dspace.calstate.edu/handle/10211.3/190208
[61]
John Roach. 2018. AI technology helps students who are deaf learn. The AI Blog. Retrieved September 17, 2020 from https://blogs.microsoft.com/ai/ai-powered-captioning/
[62]
Michael P. Robb, Margaret A. Maclagan, and Yang Chen. 2004. Speaking rates of American and New Zealand varieties of English. Clinical Linguistics & Phonetics 18, 1 (January 2004), 1--15.
[63]
Octavian E. Robinson and Jonathan Henner. 2017. The personal is political in The Deaf Mute Howls?: deaf epistemology seeks disability justice. Disability & Society 32, 9 (October 2017), 1416--1436.
[64]
Sherry Ruan, Jacob O. Wobbrock, Kenny Liou, Andrew Ng, and James Landay. 2018. Comparing Speech and Keyboard Text Entry for Short Messages in Two Languages on Touchscreen Phones. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1, 4 (January 2018), 1--23.
[65]
Matthew Seita, Khaled Albusays, Sushant Kafle, Michael Stinson, and Matt Huenerfauth. 2018. Behavioral Changes in Speakers who are Automatically Captioned in Meetings with Deaf or Hard-of-Hearing Peers. In Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '18), Association for Computing Machinery, Galway, Ireland, 68--80.
[66]
Matthew Seita, Sarah Andrew, and Matt Huenerfauth. 2021. Deaf and hard-of-hearing users' preferences for hearing speakers' behavior during technology-mediated in-person and remote conversations. In Proceedings of the 18th International Web for All Conference, ACM, Ljubljana Slovenia, 1--12.
[67]
Matthew Seita and Matt Huenerfauth. 2020. Deaf Individuals' Views on Speaking Behaviors of Hearing Peers when Using an Automatic Captioning App. In Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems (CHI EA '20), Association for Computing Machinery, New York, NY, USA, 1--8.
[68]
Brent N. Shiver and Rosalee J. Wolfe. 2015. Evaluating Alternatives for Better Deaf Accessibility to Selected Web-Based Multimedia. In Proceedings of the 17th International ACM SIGACCESS Conference on Computers & Accessibility - ASSETS '15, ACM Press, Lisbon, Portugal, 231--238.
[69]
Alexandros Tsilfidis, Iosif Mporas, John Mourjopoulos, and Nikos Fakotakis. 2013. Automatic speech recognition performance in different room acoustic environments with and without dereverberation preprocessing. Computer Speech & Language 27, 1 (January 2013), 380--395.
[70]
Máté Ákos Tündik, György Szaszák, G. Gosztolya, and A. Beke. 2018. User-centric Evaluation of Automatic Punctuation in ASR Closed Captioning. In INTERSPEECH.
[71]
M. Wald. 2005. Using Automatic Speech Recognition to Enhance Education for All Students: Turning a Vision into Reality. In Proceedings Frontiers in Education 35th Annual Conference, IEEE, Indianapolis, IN, USA, S3G-22-S3G-25.
[72]
Emily Q. Wang and Anne Marie Piper. 2018. Accessibility in Action: Co-Located Collaboration among Deaf and Hearing Professionals. Proc. ACM Hum.-Comput. Interact. 2, CSCW (November 2018), 180:1--180:25.
[73]
2012. What is CART and FAQ's -- Find a CART Captioning Provider. CAPTIONING ACTIVISM AND COMMUNITY. Retrieved August 5, 2020 from http://ccacaptioning.org/faqs-cart/
[74]
2015. Captions For Deaf and Hard-of-Hearing Viewers. NIDCD. Retrieved August 13, 2020 from https://www.nidcd.nih.gov/health/captions-deaf-and-hard-hearing-viewers
[75]
Accessibility Laws & Closed Captioning Requirements. 3Play Media. Retrieved August 7, 2020 from https://www.3playmedia.com/resources/accessibility/accessibility-laws/
[76]
The C-Print® System | C-Print. Retrieved August 7, 2020 from https://www.rit.edu/ntid/cprint/
[77]
Legion Scribe " Captioning that is Affordable, High-Quality and Real-Time. Retrieved July 29, 2020 from http://legionscribe.com/
[78]
Ava - All-in-One Click Captions for All Conversations. Retrieved April 13, 2021 from https://ava.me/
[79]
DeafSpace. Retrieved September 16, 2020 from https://www.gallaudet.edu/campus-design-and-planning/deafspace

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    cover image Proceedings of the ACM on Human-Computer Interaction
    Proceedings of the ACM on Human-Computer Interaction  Volume 5, Issue CSCW2
    CSCW2
    October 2021
    5376 pages
    EISSN:2573-0142
    DOI:10.1145/3493286
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    Published: 18 October 2021
    Published in PACMHCI Volume 5, Issue CSCW2

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    1. accessibility
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    4. small-group conversation

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