Abstract
Autonomous vehicles and robots are increasingly being deployed to remote, dangerous environments in the energy sector, search and rescue and the military. As a result, there is a need for humans to interact with these robots to monitor their tasks, such as inspecting and repairing offshore wind-turbines. Conversational Agents can improve situation awareness and transparency, while being a hands-free medium to communicate key information quickly and succinctly. As part of our user-centered design of such systems,
we conducted an in-depth immersive qualitative study of twelve marine research scientists and engineers, interacting with a prototype Conversational Agent. Our results expose insights into the appropriate content and style for the natural language interaction and, from this study, we derive nine design recommendations to inform future Conversational Agent design for remote autonomous systems.
we conducted an in-depth immersive qualitative study of twelve marine research scientists and engineers, interacting with a prototype Conversational Agent. Our results expose insights into the appropriate content and style for the natural language interaction and, from this study, we derive nine design recommendations to inform future Conversational Agent design for remote autonomous systems.
Original language | English |
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Title of host publication | DIS 2019 - Proceedings of the 2019 ACM Designing Interactive Systems Conference |
Publisher | Association for Computing Machinery |
Pages | 1543-1556 |
Number of pages | 14 |
ISBN (Electronic) | 9781450358507 |
DOIs | |
Publication status | Published - 18 Jun 2019 |
Event | 2019 ACM conference on Designing Interactive Systems: Contesting Borders and Intersections - Hyatt Regency Mission Bay, San Diego, United States Duration: 23 Jun 2019 → 28 Jun 2019 https://dis2019.com/ |
Conference
Conference | 2019 ACM conference on Designing Interactive Systems |
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Abbreviated title | DIS'19 |
Country/Territory | United States |
City | San Diego |
Period | 23/06/19 → 28/06/19 |
Internet address |
Keywords
- Explainable AI
- Multimodal interfaces
- Natural language interfaces
- Remote autonomous systems
- Transparency
- Trust
ASJC Scopus subject areas
- Computer Networks and Communications
- Human-Computer Interaction