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Unmet Needs and Opportunities for Mobile Translation AI

Published: 23 April 2020 Publication History

Abstract

Translation apps and devices are often presented in the context of providing assistance while traveling abroad. However, the spectrum of needs for cross-language communication is much wider. To investigate these needs, we conducted three studies with populations spanning socioeconomic status and geographic regions: (1) United States-based travelers, (2) migrant workers in India, and (3) immigrant populations in the United States. We compare frequent travelers' perception and actual translation needs with those of the two migrant communities. The latter two, with low language proficiency, have the greatest translation needs to navigate their daily lives. However, current mobile translation apps do not meet these needs. Our findings provide new insights on the usage practices and limitations of mobile translation tools. Finally, we propose design implications to help apps better serve these unmet needs.

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  • (2024)Envisioning Support-Centered Technologies for Language Practice and Use: Needs and Design Opportunities for Immigrant English Language Learners (ELLs)Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642236(1-15)Online publication date: 11-May-2024
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cover image ACM Conferences
CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
April 2020
10688 pages
ISBN:9781450367080
DOI:10.1145/3313831
This work is licensed under a Creative Commons Attribution International 4.0 License.

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Publication History

Published: 23 April 2020

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Author Tags

  1. emerging markets
  2. immigrants
  3. machine translation
  4. migrants
  5. mobile
  6. speech

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  • (2024)A case for "little English" in Nurse Notes from the Telehealth Intervention Program for Seniors: Implications for Future Design and ResearchProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3641961(1-16)Online publication date: 11-May-2024
  • (2024)Travelers’ viewpoints on machine translation using Q methodology: a perspective of consumption value theoryInformation Technology & Tourism10.1007/s40558-024-00296-xOnline publication date: 13-Aug-2024
  • (2024)Using Voice-to-Voice Machine Translation to Overcome Language Barriers in Clinical Communication: An Exploratory StudyJournal of General Internal Medicine10.1007/s11606-024-08641-w39:7(1095-1102)Online publication date: 12-Feb-2024
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  • (2023)Understanding the Benefits and Design of Chatbots to Meet the Healthcare Needs of Migrant WorkersProceedings of the ACM on Human-Computer Interaction10.1145/36101067:CSCW2(1-34)Online publication date: 4-Oct-2023
  • (2023)Accessible Text Tools for People with Cognitive Impairments and Non-Native Readers: Challenges and OpportunitiesProceedings of Mensch und Computer 202310.1145/3603555.3603569(250-266)Online publication date: 3-Sep-2023
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  • (2023)The politics of machine translation. Reprogramming translation studiesPerspectives10.1080/0907676X.2023.229257132:3(493-507)Online publication date: 11-Dec-2023
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