Chigusa Kurumada

dblp:176/0176 · DBLP profile ↗
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16ranked-venue papers
7as first author
5since 2021 · last 2025
0000-0001-8624-4214ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 12 · 7 first-author · 1 since 2021Applied, interdisciplinary, general and emerging computing · 11 · 7 first-author · 1 since 2021Human-computer interaction and ubiquitous computing · 4 · 4 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1
YearPublicationVenuePosition
2025 Leveraging Usefulness and Autonomy: Designing AI-Mediated ASL Communication Between Hearing Parents and Deaf Children
Hecong Wang, Ekram Hossain 0002, Madeleine Mann, Jingyan Yu, Kaleb Slater Newman, Ashley Bao, Athena Willis, Chigusa Kurumada, Wyatte Hall, Zhen Bai 0002
IDC9
2025 Phonetic cue distributions guide perceptual adaptation in speech: Evidence from a three-week study with a natural non-native accent
Xin Xie 0003, Chigusa Kurumada
CogSci2
2023 Supporting ASL Communication Between Hearing Parents and Deaf Children
abstract
The vast majority of deaf or hard-of-hearing (DHH) children are born to hearing parents. Due to a lack of immersive exposure to their natural language - sign language - they are at severe risk of language deprivation. In response to this challenge, this paper presents a novel computer-mediated communication platform named Tabletop Interactive Play System (TIPS). It serves as a test-bed to investigate technical and ethical solutions that enable hearing parents to use American Sign Language (ASL) during face-to-face play with their with their DHH children. The TIPS platform offers a variety of user options in three key aspects: (1) ASL recommendation in alignment with hearing parents’ real-time speech; (2) ASL display through different form-factors (Augmented Reality (AR) projection, tablet, and smart glasses); and (3) autonomy support to enhance users’ sense of agency and trust in the system. In this paper, we will describe the system’s design, implementation, and preliminary evaluation results.
Ekram Hossain 0002, Ashley Bao, Kaleb Slater Newman, Madeleine Mann, Hecong Wang, Chigusa Kurumada, Wyatte Hall, Zhen Bai 0002
ASSETS7
2022 Signing-on-the-Fly: Technology Preferences to Reduce Communication Gap between Hearing Parents and Deaf Children
abstract
Over 90 percent of Deaf and Hard of Hearing (DHH) children in the United States are born to hearing parents, who have little to no command of American Sign Language (ASL). This leaves the majority of DHH children at risk of language deprivation in early childhood. This study investigates the design space of Augmented Reality (AR) and wearable technologies in supporting hearing parents to offer sign language environments for young DHH children. We conducted an online survey with 65 participants (hearing/DHH parents and teachers of DHH children aged 6 months to 5 years) to gather preferences and interests of technologies that support hearing parents to deliver ASL on-the-fly, and stay attentive to the DHH child’s visual attention during joint toy play. We found that Near-Object Projection is most preferred for real-time ASL delivery, and haptic feedback is most preferred for raising the parent’s awareness of a child’s attention. Results also show a strong interest in using the proposed technologies in interacting with and maintaining joint attention with DHH children on a daily basis. We discuss key design recommendations that inform the design of future technologies that support just-in-time and contextual-aware communication in ASL, with minimal obtrusion to face-to-face interaction.
Zhen Bai 0002, Elizabeth Codick, Ashely Tenesaca, Wanyin Hu, Xiurong Yu, Peirong Hao, Chigusa Kurumada, Wyatte Hall
IDC7
2022 Context-responsive ASL Recommendation for Parent-Child Interaction
abstract
Parental language input in early childhood plays a critical role in lifelong neuro-cognitive and social development. Deaf and Hard of Hearing (DHH) children are often at risk of language deprivation due to hearing parents’ limited knowledge of sign language - the natural language for DHH children at birth. To offer an immersive sign language environment for DHH children, we designed a novel computer-mediated communication technology named Table Top Interactive System (TIPS). It aims to provide context-responsive recommendation of American Sign Language (ASL) in real-time for hearing parents during face-to-face joint play with their DHH children. The system emphasizes supporting parent autonomy by adapting ASL recommendations using parent’s speech during play, and minimizes obtrusion for face-to-face interaction through an Augmented Reality (AR) display. This paper describes the design and development of an initial working prototype of TIPS and preliminary results of the system’s efficiency regarding system latency and accuracy for ASL recommendation and visualization. Next, we plan to conduct a user study to gather expert and parent feedback about the system design and ASL recommendation strategies for long-term and personalized usage.
Ekram Hossain 0002, Merritt Lee Cahoon, Chigusa Kurumada, Zhen Bai 0002
ASSETS4
2018 Analyzing the Impact of Gender on the Automation of Feedback for Public Speaking
abstract
This paper explores gender differences in the evaluation of male and female speakers' affective features in public speaking. We analyzed 260 two-minute behavioral videos (200 of females and 60 of males), collected from an online public speaking practice tool. We adopted a linear regression model that utilized facial and prosodic features, including facial action units (AU), word count, pitch, and volume, to automatically assess speaker performance. The model was evaluated against ratings from 2 expert speakers from Toastmasters, an international public speaking club, on speaker performance. Our feature analysis suggests that certain combinations of features are correlated with higher ratings only in males, such as the combined increase of speech rate and vocal pitch variation. Moreover, our clustering analysis suggests that exhibiting certain negative emotions correlates with higher ratings for males but not for females, illustrating the impact of gender in generating effective feedback on public speaking.
Astha Singhal, Mohammad Rafayet Ali, Raiyan Abdul Baten, Chigusa Kurumada, Elizabeth West Marvin, Mohammed E. Hoque 0001
FG4
2017 Communicative efficiency in language production and learning: Optional plural marking
Chigusa Kurumada, Scott Grimm
CogSci1
2015 Speaker-specific generalization of pragmatic inferences based on prenominal adjectives
Amanda Pogue, Chigusa Kurumada, Michael K. Tanenhaus
CogSci2
2014 Rapid adaptation in online pragmatic interpretation of contrastive prosody
Chigusa Kurumada, Meredith Brown, Sarah Bibyk, Daniel F. Pontillo, Michael K. Tanenhaus
CogSci1
2013 Contextual inferences over speakers' pragmatic intentions: Preschoolers' comprehension of contrastive prosody
Chigusa Kurumada
CogSci1
2013 Incremental processing in the pragmatic interpretation of contrastive prosody
Chigusa Kurumada, Meredith Brown, Sarah Bibyk, Daniel F. Pontillo, Michael K. Tanenhaus
CogSci1
2013 Communicatively efficient language production and case-marker omission in Japanese
Chigusa Kurumada, T. Florian Jaeger
CogSci1
2013 Phonetic variation and the recognition of words with pronunciation variants
Meghan Sumner, Chigusa Kurumada, Roey Gafter, Marisa Casillas
CogSci2
2012 Pragmatic interpretation of contrastive prosody: It looks like speech adaptation
Chigusa Kurumada, Meredith Brown, Michael K. Tanenhaus
CogSci1
2012 Modeling online word segmentation performance in structured artificial languages
Stephan C. Meylan, Chigusa Kurumada, Mike Frank, Benjamin Börschinger, Mark Johnson 0001
CogSci2
2011 Zipfian word frequencies support statistical word segmentation
Chigusa Kurumada, Stephan C. Meylan, Michael C. Frank
CogSci1