Conversational User Interfaces in Smart Homecare Interactions: A Conversation Analytic Case Study
Authors
Policymakers are increasingly interested in using virtual assistants to augment social care services in the context of a demographic ageing crisis. At the same time, technology companies are market- ing conversational user interfaces (CUIs) and smart home systems as assistive technologies for elderly and disabled people. However, we know relatively little about how today’s commercially available CUIs are used to assist in everyday homecare activities, or how care service users and human care assistants interpret and adapt these technologies in practice. Here we report on a longitudinal conversation analytic case study to identify, describe, and share how CUIs can be used as assistive conversational agents in practice. The analysis reveals that, while CUIs can augment and support new capabilities in a homecare environment, they cannot replace the delicate interactional work of human care assistants. We ar- gue that CUI design is= best inspired and underpinned by a better understanding of the joint coordination of homecare activities
Research Questions / Practical Problems
Question signals indexed for this paper.
Research Questions
3- How can CUIs assist users and caregivers in completing tasks in real home care environments?Category: Voice Interface Discoverability and Affordance DesignSimilar questionsarrow_forward
- What specific roles do CUIs play in resolving misunderstandings and problems in human–virtual assistant collaboration?Category: Voice Interface Discoverability and Affordance DesignSimilar questionsarrow_forward
- What functional and interaction limitations exist in CUI design for multi-party collaboration scenarios?Category: Voice Interface Discoverability and Affordance DesignSimilar questionsarrow_forward
Practical Problems
1- Disabled users and caregivers experience low collaboration efficiency and frequent misunderstandings when using CUIs.Category: Voice Interface Discoverability and Affordance DesignSimilar questionsarrow_forward
Based on Jaccard similarity of research subtopics & professions (≥60%)