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1
Introduction
2
CoPerforming Agent
3
Intelligent Systems
4
Quality of User Experience
5
Aims
6
Feedback
7
Partnership Mindset
8
Procession
9
Agent Learning
10
Participatory Design
11
Factors
12
Initial Mental Models
13
Implications
14
Conclusion
15
Funding
16
postdoc position
17
common ground
18
teaching behavior
Description:
Explore a 22-minute conference talk from the ACM CHI Conference on Human Factors in Computing Systems that delves into the concept of Co-Performing Agents. Learn about designing intelligent systems that foster user-agent partnerships in learning and adaptive services. Discover how researchers used a Wizard-of-Oz-based probe to study user experiences with cooperative agents over a two-month period. Gain insights into factors affecting co-performing behaviors and design implications for building resilient user-agent partnerships. Understand the importance of feedback, partnership mindsets, and participatory design in improving personalized service experiences. Examine the role of initial mental models, common ground, and teaching behaviors in shaping user-agent interactions.

Co-Performing Agent - Design for Building User-Agent Partnership in Learning and Adaptive Services

Association for Computing Machinery (ACM)
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