Challenges in Supporting Exploratory Search through Voice Assistants
This work addresses the need for more intelligent voice assistants to support exploratory search, which is an incremental step in enhancing user interaction with AI systems.
The paper tackles the problem of enabling voice assistants to handle complex exploratory search queries, such as planning a family trip to Paris, which require nuanced responses beyond simple factual answers. It identifies four key design challenges for improving voice assistants in this context.
Voice assistants have been successfully adopted for simple, routine tasks, such as asking for the weather or setting an alarm. However, as people get more familiar with voice assistants, they may increase their expectations for more complex tasks, such as exploratory search-- e.g., "What should I do when I visit Paris with kids? Oh, and ideally not too expensive." Compared to simple search tasks such as "How tall is the Eiffel Tower?", which can be answered with a single-shot answer, the response to exploratory search is more nuanced, especially through voice-based assistants. In this paper, we outline four challenges in designing voice assistants that can better support exploratory search: addressing situationally induced impairments; working with mixed-modal interactions; designing for diverse populations; and meeting users' expectations and gaining their trust. Addressing these challenges is important for developing more "intelligent" voice-based personal assistants.