interface agents metaphors with characters
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Laurel argues that representing interface agents as characters makes optimal use of humans' ability to infer how characters think and act based on their traits, allowing for intuitive interaction. She claims characters invite conversation without complex language processing. Finally, she says the character metaphor draws attention to an agent's key qualities of responsiveness, competence, accessibility, and ability to act on our behalf.
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![“First, this form of representation makes optimal use of our
ability to make accurate inferences about how a character is
likely to think, decide, and act on the basis of its external
traits. This marvelous cognitive shorthand is what makes
plays and movies work… Second, the agent as character
(whether humanoid, canine, cartoonish, or cybernetic) invites
conversational interaction… [without necessarily requiring]
elaborate natural language processing… Third, the metaphor
of character successfully draws our attention to just those
qualities that form the essential nature of an agent:
responsiveness, competence, accessibility, and the capacity
to perform actions on our behalf.”
The thesis of Laurel’s (1997)](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
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This document discusses several types of intelligent agents that can help reduce information overload: an email agent, a meeting scheduling agent, a news filtering agent, and an entertainment recommendation agent. It describes how each agent works and the motivation for developing these agents to help users deal with junk email, scheduling meetings, finding relevant information, and selecting interesting books/music. The agents learn from user feedback to improve their recommendations over time.
Agents for information sharing and coordination
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interface agents metaphors with characters
- 1. Interface Agents: Metaphors with Character
- 2. “First, this form of representation makes optimal use of our ability to make accurate inferences about how a character is likely to think, decide, and act on the basis of its external traits. This marvelous cognitive shorthand is what makes plays and movies work… Second, the agent as character (whether humanoid, canine, cartoonish, or cybernetic) invites conversational interaction… [without necessarily requiring] elaborate natural language processing… Third, the metaphor of character successfully draws our attention to just those qualities that form the essential nature of an agent: responsiveness, competence, accessibility, and the capacity to perform actions on our behalf.” The thesis of Laurel’s (1997)
- 3. • First, this form of representation makes optimal use of our ability to make accurate inferences about how a character is likely to think, decide, and act on the basis of its external traits. This marvelous cognitive shorthand is what makes plays and movies work…
- 4. • Second, the agent as character (whether humanoid, canine, cartoonish, or cybernetic) invites conversational interaction… [without necessarily requiring] elaborate natural language processing…
- 5. • Third, the metaphor of character successfully draws our attention to just those qualities that form the essential nature of an agent: responsiveness, competence, accessibility, and the capacity to perform actions on our behalf.
- 6. • Objection-1 “whining, chatting little irritants” • To address this objection we must allow the traits of agents to be fully user- configurable
- 7. • Objection-2 “Why should I have to negotiate with some little dip in a bowtie when I know exactly what I want to do?” • Reply Agent-based assistance should be reserved for tedious or complex tasks that you don’t want to do yourself, and that you are comfortable entrusting to a software entity.
- 8. • Objection-3 Will people’s acquired habit of bossing agents around lead them to treating real people the same way? • Reply This is a real issue, but it should be addressed as an ethical problem for agent designers and the culture at large.
- 9. • Objection-4 “AI doesn’t work.” • Reply – This issue can be countered by some successful examples of AI. – Most agents do not need a full-blown “artificial personality,” but can be implemented much more simply.
- 10. Laurel concludes • Key characteristics of interface agents – agency, – responsiveness, – competence, – and accessibility • An R&D agenda that includes – contribution of studies of story generation – and dramatic character