PAPAc: a pick and place agent based on human behavioral dynamics

Maurice Lamb; Tamara Lorenz; Steven J. Harrison; Rachel Kallen; Ali Minai; Michael J. Richardson

doi:10.1145/3125739.3125771

PAPAc: a pick and place agent based on human behavioral dynamics

Maurice Lamb, Tamara Lorenz, Steven J. Harrison, Rachel Kallen, Ali Minai, Michael J. Richardson

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

7 Citations (Scopus)

Abstract

Humans often engage in tasks that require or are made more efficient by coordinating with other humans. The coordination involved in these tasks can be understood in terms of the behavioral and affordance dynamics of socially embedded agents engaged in joint action activities. Behavioral dynamics provide mathematical (differential equation) models of human behavior and interaction and affordance dynamics identify and model the ways that an agent's action capabilities evolve over time. Taken together, models of human joint-action based on these approaches may provide a basis for developing robust, natural, and easy to engage artificial agents. In this paper we introduce behavioral and affordance dynamics models of human joint action in a pick-and-place task. Based on these models we provide a proof of concept pick-and-place artificial agent and implement the agent in a 3D virtual environment to interact with human co-actors.

Original language	English
Title of host publication	HAI '17
Subtitle of host publication	Proceedings of the 5th International Conference on Human Agent Interaction
Place of Publication	New York, NY
Publisher	ACM
Pages	131-141
Number of pages	11
ISBN (Electronic)	9781450351133
DOIs	https://doi.org/10.1145/3125739.3125771
Publication status	Published - 2017
Externally published	Yes
Event	International Conference on Human Agent Interaction (5th : 2017) - Bielefeld, Germany Duration: 17 Oct 2017 → 20 Oct 2017

Conference

Conference	International Conference on Human Agent Interaction (5th : 2017)
Country/Territory	Germany
City	Bielefeld
Period	17/10/17 → 20/10/17

Keywords

human-agent interaction
pick-and-place
behavioral dynamics
affordances
human-centered algorithms
joint action

Access to Document

10.1145/3125739.3125771

Cite this

@inproceedings{b3b43a94ffc64ffdb09beffc8ec00f32,

title = "PAPAc: a pick and place agent based on human behavioral dynamics",

abstract = "Humans often engage in tasks that require or are made more efficient by coordinating with other humans. The coordination involved in these tasks can be understood in terms of the behavioral and affordance dynamics of socially embedded agents engaged in joint action activities. Behavioral dynamics provide mathematical (differential equation) models of human behavior and interaction and affordance dynamics identify and model the ways that an agent's action capabilities evolve over time. Taken together, models of human joint-action based on these approaches may provide a basis for developing robust, natural, and easy to engage artificial agents. In this paper we introduce behavioral and affordance dynamics models of human joint action in a pick-and-place task. Based on these models we provide a proof of concept pick-and-place artificial agent and implement the agent in a 3D virtual environment to interact with human co-actors.",

keywords = "human-agent interaction, pick-and-place, behavioral dynamics, affordances, human-centered algorithms, joint action",

author = "Maurice Lamb and Tamara Lorenz and Harrison, {Steven J.} and Rachel Kallen and Ali Minai and Richardson, {Michael J.}",

year = "2017",

doi = "10.1145/3125739.3125771",

language = "English",

pages = "131--141",

booktitle = "HAI '17",

publisher = "ACM",

note = "International Conference on Human Agent Interaction (5th : 2017) ; Conference date: 17-10-2017 Through 20-10-2017",

}

Lamb, M, Lorenz, T, Harrison, SJ, Kallen, R, Minai, A & Richardson, MJ 2017, PAPAc: a pick and place agent based on human behavioral dynamics. in HAI '17: Proceedings of the 5th International Conference on Human Agent Interaction. ACM, New York, NY, pp. 131-141, International Conference on Human Agent Interaction (5th : 2017), Bielefeld, Germany, 17/10/17. https://doi.org/10.1145/3125739.3125771

TY - GEN

T1 - PAPAc

T2 - International Conference on Human Agent Interaction (5th : 2017)

AU - Lamb, Maurice

AU - Lorenz, Tamara

AU - Harrison, Steven J.

AU - Kallen, Rachel

AU - Minai, Ali

AU - Richardson, Michael J.

PY - 2017

Y1 - 2017

N2 - Humans often engage in tasks that require or are made more efficient by coordinating with other humans. The coordination involved in these tasks can be understood in terms of the behavioral and affordance dynamics of socially embedded agents engaged in joint action activities. Behavioral dynamics provide mathematical (differential equation) models of human behavior and interaction and affordance dynamics identify and model the ways that an agent's action capabilities evolve over time. Taken together, models of human joint-action based on these approaches may provide a basis for developing robust, natural, and easy to engage artificial agents. In this paper we introduce behavioral and affordance dynamics models of human joint action in a pick-and-place task. Based on these models we provide a proof of concept pick-and-place artificial agent and implement the agent in a 3D virtual environment to interact with human co-actors.

AB - Humans often engage in tasks that require or are made more efficient by coordinating with other humans. The coordination involved in these tasks can be understood in terms of the behavioral and affordance dynamics of socially embedded agents engaged in joint action activities. Behavioral dynamics provide mathematical (differential equation) models of human behavior and interaction and affordance dynamics identify and model the ways that an agent's action capabilities evolve over time. Taken together, models of human joint-action based on these approaches may provide a basis for developing robust, natural, and easy to engage artificial agents. In this paper we introduce behavioral and affordance dynamics models of human joint action in a pick-and-place task. Based on these models we provide a proof of concept pick-and-place artificial agent and implement the agent in a 3D virtual environment to interact with human co-actors.

KW - human-agent interaction

KW - pick-and-place

KW - behavioral dynamics

KW - affordances

KW - human-centered algorithms

KW - joint action

UR - http://www.scopus.com/inward/record.url?scp=85034805161&partnerID=8YFLogxK

U2 - 10.1145/3125739.3125771

DO - 10.1145/3125739.3125771

M3 - Conference proceeding contribution

SP - 131

EP - 141

BT - HAI '17

PB - ACM

CY - New York, NY

Y2 - 17 October 2017 through 20 October 2017

ER -

PAPAc: a pick and place agent based on human behavioral dynamics

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Keywords

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