Advantages
Face-to-face communication allows communication protocols that give a much richer communication channel than other means of communicating. It enables pragmatic communication acts such as conversational turn-taking, facial expression of emotions, information structure and emphasis, visualisation and iconic gestures, and orientation in a three-dimensional environment. This communication takes place through both verbal and non-verbal channels such as gaze, gesture, spoken intonation and body posture.
Research has found that users prefer a non-verbal visual indication of an embodied system's internal state to a verbal indication, demonstrating the value of additional non-verbal communication channels. As well as this, the face-to-face communication involved in interacting with an embodied agent can be conducted alongside another task without distracting the human participants, instead improving the enjoyment of such an interaction. Furthermore, the use of an embodied presentation agent results in improved recall of the presented information.
Embodied agents also provide a social dimension to the interaction. Humans willingly ascribe social awareness to computers, and thus interaction with embodied agents follows social conventions, similar to human/human interactions. This social interaction both raises the believability and perceived trustworthiness of agents, and increases the user's engagement with the system. Rickenberg and Reeves found that the presence of an embodied agent on a website increased the level of user trust in that website; as well as this, the presence of the agent increased users' anxiety and affected their performance just as if they were being watched by a real human. Another effect of the social aspect of agents is that presentations given by an embodied agent are perceived as more entertaining and less difficult than the same presentations given without an agent. Research shows that perceived enjoyment, followed by perceived usefulness and ease of use, is the major factor influencing user adoption of embodied agents.
One example result from a recent study indicates the power of a character when moderating search inquiries. When a character asked people to type search requests into a window, people used, on average, three more words in their requests (averaging about 7 words per inquiry) compared to identical requests made without a character. Character suggest that a conversational style is appropriate, resulting in higher liking for the interaction on the part of the user, and better accuracy for the engine generating the required results.
Read more about this topic: Embodied Agent
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