Christine Holyfield

dblp:385/8170 · DBLP profile ↗
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4ranked-venue papers
0as first author
4since 2021 · last 2025
0000-0003-1057-5599ORCID · corroborated

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

Human-computer interaction and ubiquitous computing · 4 · 4 since 2021
YearPublicationVenuePosition
2025 Helping or Homogenizing? GenAI as a Design Partner to Pre-Service SLPs for Just-in-Time Programming of AAC
abstract
Figure 1: The three screens that comprise the user interface of our prototype.(1) VSD programmers choose to upload or capture an image to use in a VSD.(2) The application automatically generates a set of potential hotspots for use in the VSD and the programmer can choose to edit, use, or delete these hotspots.They can also manually add their own hotspots.Once all of the hotspots are created, they can use the canvas to draw the hotspots on the image.(3) Once they have finished configuring the VSD, users can see a preview of what the VSD looks like and interact with the created hotspots.
Cynthia Zastudil, Christine Holyfield, Christine Kapp, Kate Hamilton, Kriti Baru, Liam Newsam, June A. Smith, Stephen MacNeil
ASSETS2
2025 Exploring Engagement Opportunities for Autistic Children: Using AAC as a Controller in a Wizard-of-Oz Coloring Game
abstract
Autistic children face significant challenges in vocal communication and social interaction, often leading to social isolation. There is evidence that Augmentative and Alternative Communication (AAC) offers support to mitigate these challenges, enabling them to communicate with non-vocal means through forms of AAC, such as speech-generation devices (SGDs). However, the adoption and use of SGDs are hindered by several factors, including the large amount of practice required to learn to use SGDs and the limited options for highly engaging social learning contexts. Our study introduces the novel approach of using SGDs as game controller for digital and interactive games. With three design goals guiding our work, we conducted a Wizard-of-Oz formative case study with five participants aged 3-5 years, who were learning to use their SGD. We simulated a digital coloring game, integrating the speech-generated output of the participant's SGD to function as the game's controller. From this case study, we observed that all participants engaged with the game using their SGD for at least one turn, and two participants also engaged in emerging joint attention responses with the game and game's facilitator. This paper discusses these findings and contributes directions for future research, with suggestions for the design of future SGD-controlled games and exploration of social connection and collaboration between autistic children who use AAC and their caregivers, siblings, and peers.
Elizabeth Garrison, Stephen MacNeil, Elizabeth Lorah, Christine Holyfield, Slobodan Vucetic
Proc. ACM Hum. Comput. Interact.4
2024 Exploring the use of Generative AI to Support Automated Just-in-Time Programming for Visual Scene Displays
abstract
Millions of people worldwide rely on alternative and augmentative communication devices to communicate. Visual scene displays (VSDs) can enhance communication for these individuals by embedding communication options within contextualized images. However, existing VSDs often present default images that may lack relevance or require manual configuration, placing a significant burden on communication partners. In this study, we assess the feasibility of leveraging large multimodal models (LMM), such as GPT-4V, to automatically create communication options for VSDs. Communication options were sourced from a LMM and speech-language pathologists (SLPs) and AAC researchers (N=13) for evaluation through an expert assessment conducted by the SLPs and AAC researchers. We present the study’s findings, supplemented by insights from semi-structured interviews (N=5) about SLP’s and AAC researchers’ opinions on the use of generative AI in augmentative and alternative communication devices. Our results indicate that the communication options generated by the LMM were contextually relevant and often resembled those created by humans. However, vital questions remain that must be addressed before LMMs can be confidently implemented in AAC devices.
Cynthia Zastudil, Christine Holyfield, Christine Kapp, Xandria Crosland, Elizabeth Lorah, Tara Zimmerman, Stephen MacNeil
ASSETS2
2024 Predictive Anchoring: A Novel Interaction to Support Contextualized Suggestions for Grid Displays
abstract
Grid displays are the most common form of augmentative and alternative communication device recommended by speech-language pathologists for children. Grid displays present a large variety of vocabulary which can be beneficial for a users’ language development. However, the extensive navigation and cognitive overhead required of users of grid displays can negatively impact users’ ability to actively participate in social interactions, which is an important factor of their language development. We present a novel interaction technique for grid displays, Predictive Anchoring, based on user interaction theory and language development theory. Our design is informed by existing literature in AAC research, presented in the form of a set of design goals and a preliminary design sketch. Future work in user studies and interaction design are also discussed.
Cynthia Zastudil, Christine Holyfield, June A. Smith, Hannah Vy Nguyen, Stephen MacNeil
ASSETS2