The potential for conversational user interfaces (CUIs) to collaborate and even lead human teams engaged in a collaborative activity remains an intriguing yet largely underexplored application of CUIs. Specifically, little seems to be understood about how people perceive such agents and their reasoning behind it. To begin to examine this intriguing topic, we performed a thematic analysis on open ended questions posed to participants after being led by either a human or CUI based leader on a collaborative task. Analysis revealed five key themes around how they perceived the leader they were interacting with: guidance, voice, understanding, timing and behaviour. These themes ultimately shaped how participants reasoned about whether the leader guiding them was a human, or autonomously controlled, highlighting key considerations designers should consider when creating such collaborative conversational agents.
James Simpson, Hamish Stening, Gaurav Patil et al.· International Conference on...· 0 citations
This work introduces an alternative criterion based on the persistent topological cycles in which each node participates---a measure of mesoscale integration that captures features beyond local connectivity---and demonstrates that persistent topology captures information about brain network control that scalar energy summaries miss.
Carter Sale, Marco Coraggio, Mengsen Zhang et al.· 0 citations