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.
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Kulms, P., Kopp, S. (2013). Using Virtual Agents to Guide Attention in Multi-task Scenarios. In: Aylett, R., Krenn, B., Pelachaud, C., Shimodaira, H. (eds) Intelligent Virtual Agents. IVA 2013. Lecture Notes in Computer Science(), vol 8108. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40415-3_26
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DOI: https://doi.org/10.1007/978-3-642-40415-3_26
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