SAR4SLPs: An Asynchronous Survey of Speech-Language Pathologists' Perspectives on Socially Assistive Robots
Oliva, Denielle, Olszewski, Abbie, Feil-Seifer, David
–arXiv.org Artificial Intelligence
This paper explores the implementation of SAR4SLPs (Socially Assistive Robots for Speech-Language Pathologists) to investigate aspects such as engagement, therapeutic strategy discipline, and consistent intervention support. We assessed the current application of technology to clinical and educational settings, especially with respect to how SLPs might use SAR in their therapeutic work. An asynchronous remote community (ARC) collaborated with a cohort of practicing SLPs to consider the feasibility, potential effectiveness, and anticipated challenges with implementing SARs in day-to-day interventions and as practice facilitators. We focus in particular on the expressive functionality of SARs, modeling a foundational strategy that SLPs employ across various intervention targets. This paper highlights clinician-driven insights and design implications for developing SARs that support specific treatment goals through collaborative and iterative design.
arXiv.org Artificial Intelligence
Apr-23-2025
- Country:
- North America > United States
- Illinois > Cook County
- Chicago (0.04)
- Nevada > Washoe County
- Reno (0.14)
- Virginia (0.04)
- Illinois > Cook County
- North America > United States
- Genre:
- Questionnaire & Opinion Survey (0.94)
- Research Report
- Experimental Study (0.93)
- New Finding (0.93)
- Industry:
- Technology:
- Information Technology > Artificial Intelligence
- Cognitive Science > Emotion (0.46)
- Robots > Robots in the Home (0.35)
- Speech > Speech Recognition (0.36)
- Information Technology > Artificial Intelligence