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- W85171619 abstract "Humans have the ability to efficiently decode human and human-like cues. We explore whether a virtual agent’s facial expressions and gaze can be used to guide attention and elicit amplified processing of task-related cues. We argue that an emphasis on information processing will support future development of assistance systems, for example by reducing task load and creating a sense of reliability for such systems. A pilot study indicates subjects’ propensity to respond to the agent’s cues, most importantly gaze, but to not yet rely on them completely, possibly leading to a decreased performance." @default.
- W85171619 created "2016-06-24" @default.
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- W85171619 date "2013-01-01" @default.
- W85171619 modified "2023-09-25" @default.
- W85171619 title "Using Virtual Agents to Guide Attention in Multi-task Scenarios" @default.
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- W85171619 doi "https://doi.org/10.1007/978-3-642-40415-3_26" @default.
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