Augmentative and alternative communication (AAC) technologies are widely used to help non-verbal children enable communication. For AAC-aided communication to be successful, caregivers should support children with consistent intervention strategies in various settings. As such, caregivers need to continuously observe and discuss children's AAC usage to create a shared understanding of these strategies. However, caregivers often find it challenging to effectively collaborate with one another due to a lack of family involvement and the unstructured process of collaboration. To address these issues, we present TalkingBoogie, which consists of two mobile apps: TalkingBoogie-AAC for caregiver-child communication, and TalkingBoogie-coach supporting caregiver collaboration. Working together, these applications provide contextualized layouts for symbol arrangement, scaffold the process of sharing and discussing observations, and induce caregivers' balanced participation. A two-week deployment study with four groups (N=11) found that TalkingBoogie helped increase mutual understanding of strategies and encourage balanced participation between caregivers with reduced cognitive loads.
|Title of host publication||CHI 2020 - Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems|
|Publisher||Association for Computing Machinery|
|Publication status||Published - 2020 Apr 21|
|Event||2020 ACM CHI Conference on Human Factors in Computing Systems, CHI 2020 - Honolulu, United States|
Duration: 2020 Apr 25 → 2020 Apr 30
|Name||Conference on Human Factors in Computing Systems - Proceedings|
|Conference||2020 ACM CHI Conference on Human Factors in Computing Systems, CHI 2020|
|Period||20/4/25 → 20/4/30|
Bibliographical noteFunding Information:
We would like to thank Joowon Lee for participating in the initial design phase. This work was supported by SNU Undergraduate Research Program through the Faculty of Liberal Education, Seoul National University (2019-23) and the National Research Foundation of Korea Grant funded by the Korean Government (NRF-2019S1A5A2A01045980).
© 2020 ACM.
All Science Journal Classification (ASJC) codes
- Computer Graphics and Computer-Aided Design
- Human-Computer Interaction