Social, Environmental, and Technical: Factors at Play in the Current Use and Future Design of Small-Group Captioning
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Jon E. Froehlich | Leah Findlater | Raja Kushalnagar | Ping Liu | Steven M. Goodman | Emma J. McDonnell | R. Kushalnagar | Leah Findlater | Ping Liu
[1] Benjamin M. Gorman,et al. Adaptive Subtitles: Preferences and Trade-Offs in Real-Time Media Adaption , 2021, CHI.
[2] Matt Huenerfauth,et al. Deaf and hard-of-hearing users' preferences for hearing speakers' behavior during technology-mediated in-person and remote conversations , 2021, W4A.
[3] Jeffrey P. Bigham,et al. Say It All: Feedback for Improving Non-Visual Presentation Accessibility , 2021, CHI.
[4] Jon E. Froehlich,et al. What Do We Mean by “Accessibility Research”?: A Literature Survey of Accessibility Papers in CHI and ASSETS from 1994 to 2019 , 2021, CHI.
[5] Raja S. Kushalnagar,et al. Teleconference Accessibility and Guidelines for Deaf and Hard of Hearing Users , 2020, International ACM SIGACCESS Conference on Computers and Accessibility.
[6] Lefteris Moussiades,et al. Α Benchmarking of IBM, Google and Wit Automatic Speech Recognition Systems , 2020, AIAI.
[7] Matt Huenerfauth,et al. Deaf Individuals' Views on Speaking Behaviors of Hearing Peers when Using an Automatic Captioning App , 2020, CHI Extended Abstracts.
[8] Jon Froehlich,et al. Evaluating Smartwatch-based Sound Feedback for Deaf and Hard-of-hearing Users Across Contexts , 2020, CHI.
[9] Brian P. Trager,et al. Exploration of Automatic Speech Recognition for Deaf and Hard of Hearing Students in Higher Education Classes , 2019, ASSETS.
[10] Virginia Braun,et al. Reflecting on reflexive thematic analysis , 2019, Qualitative Research in Sport, Exercise and Health.
[11] Larwan Berke,et al. Preferred Appearance of Captions Generated by Automatic Speech Recognition for Deaf and Hard-of-Hearing Viewers , 2019, CHI Extended Abstracts.
[12] Matt Huenerfauth,et al. Behavioral Changes in Speakers who are Automatically Captioned in Meetings with Deaf or Hard-of-Hearing Peers , 2018, ASSETS.
[13] Erin Brady,et al. Interdependence as a Frame for Assistive Technology Research and Design , 2018, ASSETS.
[14] Shari Trewin,et al. Leveraging Pauses to Improve Video Captions , 2018, ASSETS.
[15] Jon Froehlich,et al. Towards Accessible Conversations in a Mobile Context for People who are Deaf and Hard of Hearing , 2018, ASSETS.
[16] Gábor Gosztolya,et al. User-centric Evaluation of Automatic Punctuation in ASR Closed Captioning , 2018, INTERSPEECH.
[17] Mike Y. Chen,et al. SpeechBubbles: Enhancing Captioning Experiences for Deaf and Hard-of-Hearing People in Group Conversations , 2018, CHI.
[18] Larwan Berke,et al. Methods for Evaluation of Imperfect Captioning Tools by Deaf or Hard-of-Hearing Users at Different Reading Literacy Levels , 2018, CHI.
[19] James A. Landay,et al. Comparing Speech and Keyboard Text Entry for Short Messages in Two Languages on Touchscreen Phones , 2016, Proc. ACM Interact. Mob. Wearable Ubiquitous Technol..
[20] Lisa B. Elliot,et al. User Experiences When Testing a Messaging App for Communication Between Individuals who are Hearing and Deaf or Hard of Hearing , 2017, ASSETS.
[21] Lisa B. Elliot,et al. Personal Perspectives on Using Automatic Speech Recognition to Facilitate Communication between Deaf Students and Hearing Customers , 2017, ASSETS.
[22] Larwan Berke,et al. Deaf and Hard-of-Hearing Perspectives on Imperfect Automatic Speech Recognition for Captioning One-on-One Meetings , 2017, ASSETS.
[23] Raja S. Kushalnagar,et al. Feasibility of Using Automatic Speech Recognition with Voices of Deaf and Hard-of-Hearing Individuals , 2017, ASSETS.
[24] J. Henner,et al. The personal is political in The Deaf Mute Howls: deaf epistemology seeks disability justice , 2017 .
[25] Veton Kepuska,et al. Comparing Speech Recognition Systems (Microsoft API, Google API And CMU Sphinx) , 2017 .
[26] Larwan Berke,et al. Displaying confidence from imperfect automatic speech recognition for captioning , 2017, ACM SIGACCESS Access. Comput..
[27] Richard E. Ladner,et al. Improving Real-Time Captioning Experiences for Deaf and Hard of Hearing Students , 2016, ASSETS.
[28] Vicki L. Hanson,et al. SlidePacer: A Presentation Delivery Tool for Instructors of Deaf and Hard of Hearing Students , 2016, ASSETS.
[29] Matt Huenerfauth,et al. Deaf and Hard of Hearing Individuals' Perceptions of Communication with Hearing Colleagues in Small Groups , 2016, ASSETS.
[30] Kelly Caine,et al. Local Standards for Sample Size at CHI , 2016, CHI.
[31] Raja S. Kushalnagar,et al. Tracked Speech-To-Text Display: Enhancing Accessibility and Readability of Real-Time Speech-To-Text , 2015, ASSETS.
[32] Brent N. Shiver,et al. Evaluating Alternatives for Better Deaf Accessibility to Selected Web-Based Multimedia , 2015, ASSETS.
[33] Denis Jouvet,et al. Qualitative investigation of the display of speech recognition results for communication with deaf people , 2015, SLPAT@Interspeech.
[34] Matthew Louis Mauriello,et al. Understanding the Role of Thermography in Energy Auditing: Current Practices and the Potential for Automated Solutions , 2015, CHI.
[35] Jon Froehlich,et al. Head-Mounted Display Visualizations to Support Sound Awareness for the Deaf and Hard of Hearing , 2015, CHI.
[36] Gill Harold,et al. DeafSpace and the principles of universal design , 2014, Disability and rehabilitation.
[37] Poorna Kushalnagar,et al. Collaborative Gaze Cues and Replay for Deaf and Hard of Hearing Students , 2014, ICCHP.
[38] Walter S. Lasecki,et al. Helping students keep up with real-time captions by pausing and highlighting , 2014, W4A.
[39] Gregg C. Vanderheiden,et al. Crowd caption correction (CCC) , 2013, ASSETS.
[40] John Mourjopoulos,et al. Automatic speech recognition performance in different room acoustic environments with and without dereverberation preprocessing , 2013, Comput. Speech Lang..
[41] Walter S. Lasecki,et al. Online quality control for real-time crowd captioning , 2012, ASSETS '12.
[42] Walter S. Lasecki,et al. A readability evaluation of real-time crowd captions in the classroom , 2012, ASSETS '12.
[43] Eric C. Larson,et al. The design and evaluation of prototype eco-feedback displays for fixture-level water usage data , 2012, CHI.
[44] Marco Furini,et al. Enhancing learning accessibility through fully automatic captioning , 2012, W4A.
[45] Meng Wang,et al. Dynamic captioning: video accessibility enhancement for hearing impairment , 2010, ACM Multimedia.
[46] Gillian R. Hayes,et al. Disability studies as a source of critical inquiry for the field of assistive technology , 2010, ASSETS '10.
[47] Richard E. Ladner,et al. ClassInFocus: enabling improved visual attention strategies for deaf and hard of hearing students , 2009, Assets '09.
[48] Thomas Way,et al. Inclusion of deaf students in computer science classes using real-time speech transcription , 2007, ITiCSE '07.
[49] P. David Stotts,et al. Semi-transparent video interfaces to assist deaf persons in meetings , 2007, ACM-SE 45.
[50] R. Mitchell,et al. How Many People Use ASL in the United States? Why Estimates Need Updating , 2006 .
[51] V. Braun,et al. Using thematic analysis in psychology , 2006 .
[52] M. Wald. Using Automatic Speech Recognition to Enhance Education for All Students: Turning a Vision into Reality , 2005, Proceedings Frontiers in Education 35th Annual Conference.
[53] H. Lane. Ethnicity, ethics, and the deaf-world. , 2005, Journal of deaf studies and deaf education.
[54] H-Dirksen L. Bauman. Audism: exploring the metaphysics of oppression. , 2004, Journal of deaf studies and deaf education.
[55] M. Maclagan,et al. Speaking rates of American and New Zealand varieties of English , 2004 .
[56] M. Maclagan,et al. Speaking rates of American and New Zealand varieties of English. , 2001, Clinical linguistics & phonetics.
[57] Allison Druin,et al. Technology probes: inspiring design for and with families , 2003, CHI '03.
[58] Sara H. Basson,et al. Speech recognition in university classrooms: liberated learning project , 2002, Assets '02.
[59] D. Haggerty,et al. What do we mean by a , 2001 .
[60] D. Gorenflo,et al. Preventive attitudes and beliefs of deaf and hard-of-hearing individuals. , 2000, Archives of family medicine.
[61] Carl Jensema. Viewer Reaction to Different Television Captioning Speeds , 1998, American annals of the deaf.
[62] Michael Oliver,et al. Social Work with Disabled People , 1983 .
[63] U. Bellugi,et al. A comparison of sign language and spoken language , 1972 .