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Paper Type

Complete

Description

Using conversational agents as decision-support tools brings together an interesting mix of theoretical lenses. On the one hand, user experiences with agents must still conform to characteristics of fluent use as any interactive system. But at the same time, the more human-like nature of back-and-forth discourse, instead of static graphical interfaces, provides users with social cues that they must then contend with. This study demonstrates how users facing disfluency, such as goal-oriented decision-making with large choice sets, can aid themselves with filters as a tool to reach the end of their task. It also demonstrates how a slowed system response (a social cue) will have a negative effect in disfluent situations where users are trying to regain confidence. A slowed system response time discourages users from using filters leaving them making a suboptimal decision. This study shows how decision fluency and social cues have interesting interactions in their effect on users performing tasks with conversational agents.

Paper Number

1812

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Aug 10th, 12:00 AM

What’s the Harm in Waiting? Examining disfluency from system response time in decision tasks with conversational agents

Using conversational agents as decision-support tools brings together an interesting mix of theoretical lenses. On the one hand, user experiences with agents must still conform to characteristics of fluent use as any interactive system. But at the same time, the more human-like nature of back-and-forth discourse, instead of static graphical interfaces, provides users with social cues that they must then contend with. This study demonstrates how users facing disfluency, such as goal-oriented decision-making with large choice sets, can aid themselves with filters as a tool to reach the end of their task. It also demonstrates how a slowed system response (a social cue) will have a negative effect in disfluent situations where users are trying to regain confidence. A slowed system response time discourages users from using filters leaving them making a suboptimal decision. This study shows how decision fluency and social cues have interesting interactions in their effect on users performing tasks with conversational agents.

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