Chuxuan Zhang, Bermet Burkanova, Lawrence H. Kim, Lauren Yip, Ugo Cupcic, Stéphane Lallée, Angelica Lim
{"title":"React to This! How Humans Challenge Interactive Agents using Nonverbal Behaviors","authors":"Chuxuan Zhang, Bermet Burkanova, Lawrence H. Kim, Lauren Yip, Ugo Cupcic, Stéphane Lallée, Angelica Lim","doi":"arxiv-2409.11602","DOIUrl":null,"url":null,"abstract":"How do people use their faces and bodies to test the interactive abilities of\na robot? Making lively, believable agents is often seen as a goal for robots\nand virtual agents but believability can easily break down. In this\nWizard-of-Oz (WoZ) study, we observed 1169 nonverbal interactions between 20\nparticipants and 6 types of agents. We collected the nonverbal behaviors\nparticipants used to challenge the characters physically, emotionally, and\nsocially. The participants interacted freely with humanoid and non-humanoid\nforms: a robot, a human, a penguin, a pufferfish, a banana, and a toilet. We\npresent a human behavior codebook of 188 unique nonverbal behaviors used by\nhumans to test the virtual characters. The insights and design strategies drawn\nfrom video observations aim to help build more interaction-aware and believable\nrobots, especially when humans push them to their limits.","PeriodicalId":501541,"journal":{"name":"arXiv - CS - Human-Computer Interaction","volume":"4 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Human-Computer Interaction","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.11602","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
How do people use their faces and bodies to test the interactive abilities of
a robot? Making lively, believable agents is often seen as a goal for robots
and virtual agents but believability can easily break down. In this
Wizard-of-Oz (WoZ) study, we observed 1169 nonverbal interactions between 20
participants and 6 types of agents. We collected the nonverbal behaviors
participants used to challenge the characters physically, emotionally, and
socially. The participants interacted freely with humanoid and non-humanoid
forms: a robot, a human, a penguin, a pufferfish, a banana, and a toilet. We
present a human behavior codebook of 188 unique nonverbal behaviors used by
humans to test the virtual characters. The insights and design strategies drawn
from video observations aim to help build more interaction-aware and believable
robots, especially when humans push them to their limits.
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