Proxemics for Human-Agent Interaction in Augmented Reality (doi:10.18419/darus-2525)

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Part 1: Document Description
Part 2: Study Description
Part 3: Data Files Description
Part 4: Variable Description
Part 5: Other Study-Related Materials
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Proxemics for Human-Agent Interaction in Augmented Reality

doi:10.18419/darus-2525

DaRUS

2022-03-08

1

Huang, Ann; Knierim, Pascal; Chiossi, Francesco; Chuang, Lewis; Welsch, Robin, 2022, "Proxemics for Human-Agent Interaction in Augmented Reality", https://doi.org/10.18419/darus-2525, DaRUS, V1, UNF:6:gMC1ZC3kIcnTw0ymCcJbgQ== [fileUNF]

Proxemics for Human-Agent Interaction in Augmented Reality

doi:10.18419/darus-2525

Huang, Ann (Universität Osnabrück)

Knierim, Pascal (Universität München (LMU))

Chiossi, Francesco (Universität München (LMU))

Chuang, Lewis (Leibniz Research Centre for Working Environment and Human Factors)

Welsch, Robin (Universität München (LMU))

251654672

DaRUS

Chiossi, Francesco

Huang, Ann

Chiossi, Francesco

2022-02-17

https://doi.org/10.18419/darus-2525

Computer and Information Science, Social Sciences, Augmented Reality, Proxemics, Personal Space, Virtual Agents, Human-Agent Interaction, Perception, HCI, Human-Computer Interaction

We report an experiment (N=54) where participants interacted with agents in an AR (Augmented Reality) art gallery scenario.<br> When participants approached six virtual agents (i.e., two males, two females, a humanoid robot, and a pillar) to ask for directions, we found that participants respected the agents’ PS (Personal Space) and modulated interpersonal distances according to the human-like agents’ perceived gender. When participants were instructed to walk through the agents, we observed heightened skin-conductance levels that indicate physiological arousal.<br> <br> Specifically we make available interpersonal distances, questionnaires data, Skin conductance data, Unity Environment used for the study and lastly, the analysis code.

Users interested in reproducing the results can follow the methodology as reported in the paper, the analysis code as reported in the R script (" Inference_CHI22_2.R ") in the Files section, and the Augmented Reality Environment used as reported in the Related Material section.

Unity Environment available at:<br> <a href="https://github.com/pknierim/Proxemics-for-Human-Agent-Interaction-in-Augmented-Reality">https://github.com/pknierim/Proxemics-for-Human-Agent-Interaction-in-Augmented-Reality</a>

Ann Huang, Pascal Knierim, Francesco Chiossi, Lewis Chuang, and Robin Welsch. 2022. Proxemics for Human-Agent Interaction in Augmented Reality. In CHI Conference on Human Factors in Computing Systems (CHI ’22), April 29-May 5, 2022, New Orleans, LA, USA. ACM, New York, NY, USA, 20 pages.

10.1145/3491102.3517593

Ann Huang, Pascal Knierim, Francesco Chiossi, Lewis Chuang, and Robin Welsch. 2022. Proxemics for Human-Agent Interaction in Augmented Reality. In CHI Conference on Human Factors in Computing Systems (CHI ’22), April 29-May 5, 2022, New Orleans, LA, USA. ACM, New York, NY, USA, 20 pages.

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• tukey_outlier - tukey_outlier
• gender - gender
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• SCR_metric_max - SCR_metric_max
• SCR_metric_mean - SCR_metric_mean
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Summary Statistics: Max. 1.283556; Valid 1068.0; Mean 0.38657985252855803; StDev 0.3218347503333026; Min. 7.894665E-4

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Summary Statistics: Max. 3.345534; Mean 1.1954124337390761; Min. 0.1931959; Valid 1068.0; StDev 0.5796616130772057;

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Summary Statistics: Min. 1.0; Mean 26.808988764044805; Max. 54.0; StDev 15.719573747051891; Valid 1068.0

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Summary Statistics: Valid 228.0; Max. 5.0; Mean 3.105263157894737; StDev 0.9467628226420377; Min. 1.0

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Summary Statistics: Min. 1.0; Valid 54.0; Mean 27.5; StDev 15.732132722552274; Max. 54.0

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Summary Statistics: Max. 43.0; StDev 4.02820246441755; Min. 20.0; Mean 26.333333333333332; Valid 54.0;

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Summary Statistics: Mean 168.87296296296296; StDev 8.538733198789608; Max. 193.0; Valid 54.0; Min. 153.0

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Summary Statistics: Min. 2.0; StDev 15.28277256439099; Valid 51.0; Max. 54.0; Mean 28.725490196078425

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Label:

Inference_CHI22_2.R

Text:

Data analysis Code

type/x-r-syntax