Sebastian Günther, Sven G. Kratz, Daniel Avrahami, M. Mühlhäuser
{"title":"Exploring Audio, Visual, and Tactile Cues for Synchronous Remote Assistance","authors":"Sebastian Günther, Sven G. Kratz, Daniel Avrahami, M. Mühlhäuser","doi":"10.1145/3197768.3201568","DOIUrl":null,"url":null,"abstract":"Today, remote collaboration techniques between field workers and remotely located experts mainly focus on traditional communication channels, such as voice- or video-conferencing. Those systems may not be suitable in every situation or the communication gets cumbersome if both parties do not share a common ground. In this paper, we explore three supporting communication channels based on audio, visual, and tactile cues. We built a prototypical application implementing those cues and evaluated them in a user study. Based on the user feedback, we report first insights for building remote assistance systems utilizing additional cues.","PeriodicalId":130190,"journal":{"name":"Proceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference","volume":"66 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3197768.3201568","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 21
Abstract
Today, remote collaboration techniques between field workers and remotely located experts mainly focus on traditional communication channels, such as voice- or video-conferencing. Those systems may not be suitable in every situation or the communication gets cumbersome if both parties do not share a common ground. In this paper, we explore three supporting communication channels based on audio, visual, and tactile cues. We built a prototypical application implementing those cues and evaluated them in a user study. Based on the user feedback, we report first insights for building remote assistance systems utilizing additional cues.