25/04/2020

An Honest Conversation: Transparently Combining Machine and Human Speech Assistance in Public Spaces

Thomas Reitmaier, Simon Robinson, Jennifer Pearson, Dani Kalarikalayil Raju, Matt Jones

Keywords: conversational agents, speech appliances, public space interaction, emergent users

Abstract: There is widespread concern over the ways speech assistant providers currently use humans to listen to users’ queries without their knowledge. We report two iterations of the TalkBack smart speaker, which transparently combines machine and human assistance. In the first, we created a prototype to investigate whether people would choose to forward their questions to a human answerer if the machine was unable to help. Longitudinal deployment revealed that most users would do so when given the explicit choice. In the second iteration we extended the prototype to draw upon spoken answers from previous deployments, combining machine efficiency with human richness. Deployment of this second iteration shows that this corpus can help provide relevant, human-created instant responses. We distil lessons learned for those developing conversational agents or other AI-infused systems about how to appropriately enlist human-in-the-loop information services to benefit users, task workers and system performance.

The video of this talk cannot be embedded. You can watch it here:
https://www.youtube.com/watch?v=ieS7pJnBXjU
(Link will open in new window)
 0
 0
 0
 0
This is an embedded video. Talk and the respective paper are published at CHI 2020 virtual conference. If you are one of the authors of the paper and want to manage your upload, see the question "My papertalk has been externally embedded..." in the FAQ section.

Comments

Post Comment
no comments yet
code of conduct: tbd Characters remaining: 140

Similar Papers