Formation conditions of mutual adaptation in human-agent collaborative interaction
When an adaptive agent works with a human user in a collaborative task, in order to enable flexible instructions to be issued by ordinary people, it is believed that a mutual adaptation phenomenon can enable the agent to handle flexible mapping relations between the human user’s instructions and the agent’s actions. To elucidate the conditions required to induce the mutual adaptation phenomenon, we designed an appropriate experimental environment called “WAITER” (Waiter Agent Interactive Training Experimental Restaurant) and conducted two experiments in this environment. The experimental results suggest that the proposed conditions can induce the mutual adaptation phenomenon.
KeywordsHuman-agent interaction Mutual adaptation Waiter agent Think-aloud method
Unable to display preview. Download preview PDF.
- 2.Ide T, Inoue K (2005) Knowledge discovery from heterogeneous dynamic systems using change-point correlations. In: The SIAM international conference on data mining (SDM 05), pp 571–576 Google Scholar
- 5.Komagome D, Suzuki M, Ono T, Yamada S (2006) A design of robot meme cultural learning, transmitting and creation by human-robot mutual-adaptation. IPSJ SIG Notes ICS (131):7–12 Google Scholar
- 7.Komatsu T, Ohmoto Y, Ueda K, Okadome T, Kamei K, Xu Y, Sumi Y, Nishida T (2008) Definition of mutual adaptation processes based on Akaike’s information criterion. In: The 7th international workshop on social intelligence design (SID 2008), Puerto Rico Google Scholar
- 8.Kon H, Miyake Y (2005) An analysis and modeling of mutual synchronization process in cooperative tapping. J Hum Interface Soc 7(4):61–70 Google Scholar
- 10.Mohammad Y, Nishida T (2009) Robust singular spectrum transform. In: Next generation applied intelligence (the twenty second international conference on industrial, engineering & other applications of applied intelligent systems (IEA/AIE 2009)) Taiwan. LNAI, vol 5579. Springer, Berlin, pp 123–132 Google Scholar
- 13.Ueda K (2006) Mutually adaptive learning: a time factor in human-agent interaction. J JSAI (Japanese Society for Artificial Intelligence) 21(6):675–680 Google Scholar
- 16.Xu Y, Ohmoto Y, Ueda K, Komatsu T, Okadome T, Kamei K, Okada S, Sumi Y, Nishida T (2008) Two-layered communicative protocol model in a cooperative directional guidance task. In: The 7th international workshop on social intelligence design (SID2008), Puerto Rico Google Scholar
- 18.Yamada S, Koh K (2003) Idea: Interaction design for adaptation. J Jpn Soc Fuzzy Theory Intell Inform 15(2):185 (in Japanese) Google Scholar
- 19.Yamada S, Yamaguchi T (2004) Training aibo like a dog. In: The 13th international workshop on robot and human interactive communication (ROMAN-2004), Kurashiki, Japan, pp 431–436 Google Scholar
- 20.Yamada S, Yamaguchi T (2005) Mutual adaptation of mind mappings between a human and a life-like agent. J Jpn Soc Fuzzy Theory Intell Inform 17(3):289–297 Google Scholar