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2009. Humans respond to machines’ response times in human-machine interaction
Invited abstract in session WC-7: Behavior in supply chain collaboration, stream Behavioural OR.
Wednesday, 12:30-14:00Room: 1019 (building: 202)
Authors (first author is the speaker)
| 1. | Zhi Zhu
|
| Management, Zhejiang University | |
| 2. | Yingshuai Zhao
|
| University of Cologne | |
| 3. | Fadong Chen
|
| Zhejiang University |
Abstract
The field of human-machine interaction is increasingly focusing on the anthropomorphism of computerized agents, especially their design to mimic human behavioral patterns. This research investigates a pivotal question: Do humans respond to human-like agents in the same way as they do to human counterparts in interactive scenarios? We explore this question using lab experiments within a supply chain bargaining context, where the supplier has private information about production costs. The retailer proposed wholesale prices to the supplier, and decisions to accept or reject these offers were made by a computerized agent acting on behalf of the supplier. We find that individuals respond to the response time of agent partners similarly to how they respond to human partners. Compared to human-human bargaining, the retailer’s profit is lower and the supplier’s profit is higher in human-machine bargaining. These findings hold significant implications for the design of online bargaining tools in e-business, particularly in enhancing the use of human-like agents in commercial negotiations.
Keywords
- Behavioural OR
- Supply Chain Management
- Artificial Intelligence
Status: accepted
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