{"title":"Blinking, Beeping or Just Driving? Investigating Different Communication Concepts\n for an Autonomously Parking E-Cargo Bike from a User Perspective","authors":"Isabel Kreißig, Tina Morgenstern, J. Krems","doi":"10.54941/ahfe1002930","DOIUrl":null,"url":null,"abstract":"While autonomously parking e-cargo bikes offer the potential to enhance users’\n comfort and time efficiency at sharing-stations, it is important to ensure a safe and\n useable interaction. External human machine interfaces (eHMIs) provide a possible\n solution for highly automated systems to communicate relevant information and to ensure\n system transparency. We conducted a laboratory study investigating three different\n communication concepts for autonomously parking e-cargo bikes: (1) a visual eHMI, (2) an\n auditory eHMI, and (3) a baseline condition. Participants (N = 36) watched videos of an\n autonomously parking e-cargo prototype and assessed each concept regarding user\n experience, acceptance, perceived safety, and trust. Results revealed a clear ranking of\n communication concepts with the visual eHMI rated to be most suitable followed by the\n auditory eHMI, whereas ratings for the condition without eHMI revealed considerable\n concerns for all aspects. Our findings suggest important implications for designing user\n interfaces for self- parking e-cargo bikes.","PeriodicalId":383834,"journal":{"name":"Human Interaction and Emerging Technologies (IHIET-AI 2023): Artificial\n Intelligence and Future Applications","volume":"113 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Human Interaction and Emerging Technologies (IHIET-AI 2023): Artificial\n Intelligence and Future Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.54941/ahfe1002930","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
While autonomously parking e-cargo bikes offer the potential to enhance users’
comfort and time efficiency at sharing-stations, it is important to ensure a safe and
useable interaction. External human machine interfaces (eHMIs) provide a possible
solution for highly automated systems to communicate relevant information and to ensure
system transparency. We conducted a laboratory study investigating three different
communication concepts for autonomously parking e-cargo bikes: (1) a visual eHMI, (2) an
auditory eHMI, and (3) a baseline condition. Participants (N = 36) watched videos of an
autonomously parking e-cargo prototype and assessed each concept regarding user
experience, acceptance, perceived safety, and trust. Results revealed a clear ranking of
communication concepts with the visual eHMI rated to be most suitable followed by the
auditory eHMI, whereas ratings for the condition without eHMI revealed considerable
concerns for all aspects. Our findings suggest important implications for designing user
interfaces for self- parking e-cargo bikes.