COMPA: Using Conversation Context to Achieve Common Ground in AAC
Stephanie Valencia, Jessica Huynh, Emma Y. Jiang, Yufei Wu, Teresa Wan, Zixuan Zheng, Henny Admoni, Jeffrey P. Bigham, Amy Pavel
摘要
Group conversations often shift quickly from topic to topic, leaving a small window of time for participants to contribute. AAC users often miss this window due to the speed asymmetry between using speech and using AAC devices. AAC users may take over a minute longer to contribute, and this speed difference can cause mismatches between the ongoing conversation and the AAC user’s response. This results in misunderstandings and missed opportunities to participate. We present COMPA, an add-on tool for online group conversations that seeks to support conversation partners in achieving common ground. COMPA uses a conversation’s live transcription to enable AAC users to mark conversation segments they intend to address (Context Marking) and generate contextual starter phrases related to the marked conversation segment (Phrase Assistance) and a selected user intent. We study COMPA in 5 different triadic group conversations, each composed by a researcher, an AAC user and a conversation partner (n=10) and share findings on how conversational context supports conversation partners in achieving common ground.
问问这篇 Paper
智能体会读完全文。
Lune 把这篇 Paper 索引到了每一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。
引用它的顶会 Paper4
- AACessTalk: Fostering Communication between Minimally Verbal Autistic Children and Parents with Contextual Guidance and Card RecommendationDasom Choi, SoHyun Park, Kyungah Lee, Hwajung Hong 等CHI 2025 · 被引用 22 次
- Why So Serious? Exploring Timely Humorous Comments in AAC Through AI-Powered InterfacesTobias M. Weinberg, Kowe Kadoma, Ricardo E. Gonzalez Penuela, Stephanie Valencia 等CHI 2025 · 被引用 9 次
- "The Internet is Hard. Is Words": Investigating Information Search Difficulties Experienced by People with Aphasia and Strategies for Combatting ThemVasiliki Kladouchou, Stephann Makri, Sylwia Frankowska-Takhari, Timothy Neate 等CHI 2025 · 被引用 6 次
- I, Robot? Exploring Ultra-Personalized AI-Powered AAC; an Autoethnographic AccountTobias M. Weinberg, Ricardo E. Gonzalez Penuela, Stephanie Valencia, Thijs RoumenCHI 2026 · 被引用 3 次
它引用的顶会 Paper8
- "The less I type, the better": How AI Language Models can Enhance or Impede Communication for AAC UsersStephanie Valencia, Richard Cave, Krystal Kallarackal, Katie Seaver 等CHI 2023 · 被引用 92 次
- MeetingCoach: An Intelligent Dashboard for Supporting Effective & Inclusive MeetingsSamiha Samrose, Daniel McDuff, Robert Sim, Jina Suh 等CHI 2021 · 被引用 69 次
- Conversational Agency in Augmentative and Alternative CommunicationStephanie Valencia, Amy Pavel, Jared Santa Maria, Seunga (Gloria) Yu 等CHI 2020 · 被引用 31 次
- Mediating Intimacy with DearBoard: a Co-Customizable Keyboard for Everyday MessagingCarla F. Griggio, Arissa J. Sato, Wendy E. Mackay, Koji YataniCHI 2021 · 被引用 28 次
- "Easier or Harder, Depending on Who the Hearing Person Is": Codesigning Videoconferencing Tools for Small Groups with Mixed Hearing StatusEmma J. McDonnell, Soo Hyun Moon, Lucy Jiang, Steven M. Goodman 等CHI 2023 · 被引用 26 次
相关 Paper
- Who Are You Asking?: Qualitative Methods for Involving AAC Users as Primary Research ParticipantsErin BeneteauCHI 2020 · 被引用 28 次
- Social, Environmental, and Technical: Factors at Play in the Current Use and Future Design of Small-Group CaptioningEmma J. McDonnell, Ping Liu, Steven M. Goodman, Raja S. Kushalnagar 等CSCW 2021 · 被引用 50 次
- ChatLearn: Leveraging Non-Native Speaker Communication Challenges as Language Learning OpportunitiesPeinuan Qin, Yugin Tan, Jingzhu Chen, Nattapat Boonprakong 等CHI 2026 · 被引用 2 次
- Seeing Conversations: Communication Context Identification in Egocentric VideoTobias Dorszewski, Jens HjortkjærCVPR 2026
- "Nobody Speaks that Fast!" An Empirical Study of Speech Rate in Conversational Agents for People with Vision ImpairmentsDasom Choi, Daehyun Kwak, Minji Cho, Sangsu LeeCHI 2020 · 被引用 55 次
