{"title":"Autonomous Driving: Investigating the Feasibility of Bimodal Take-Over Requests","authors":"Marcel Walch, Kristin Mühl, M. Baumann, M. Weber","doi":"10.4018/IJMHCI.2017040104","DOIUrl":null,"url":null,"abstract":"Autonomous vehicles will need de-escalation strategies to compensate when reaching system limitations. Car-driver handovers can be considered one possible method to deal with system boundaries. The authors suggest a bimodal auditory and visual handover assistant based on user preferences and design principles for automated systems. They conducted a driving simulator study with 30 participants to investigate the take-over performance of drivers. In particular, the authors examined the effect of different warning conditions take-over request only with 4 and 6 seconds time budget vs. an additional pre-cue, which states why the take-over request will follow in different hazardous situations. Their results indicated that all warning conditions were feasible in all situations, although the short time budget 4 seconds was rather challenging and led to a less safe performance. An alert ahead of a take-over request had the positive effect that the participants took over and intervened earlier in relation to the appearance of the take-over request. Overall, the authors' evaluation showed that bimodal warnings composed of textual and iconographic visual displays accompanied by alerting jingles and spoken messages are a promising approach to alert drivers and to ask them to take over.","PeriodicalId":43100,"journal":{"name":"International Journal of Mobile Human Computer Interaction","volume":null,"pages":null},"PeriodicalIF":0.2000,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Mobile Human Computer Interaction","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/IJMHCI.2017040104","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, CYBERNETICS","Score":null,"Total":0}
引用次数: 10
Abstract
Autonomous vehicles will need de-escalation strategies to compensate when reaching system limitations. Car-driver handovers can be considered one possible method to deal with system boundaries. The authors suggest a bimodal auditory and visual handover assistant based on user preferences and design principles for automated systems. They conducted a driving simulator study with 30 participants to investigate the take-over performance of drivers. In particular, the authors examined the effect of different warning conditions take-over request only with 4 and 6 seconds time budget vs. an additional pre-cue, which states why the take-over request will follow in different hazardous situations. Their results indicated that all warning conditions were feasible in all situations, although the short time budget 4 seconds was rather challenging and led to a less safe performance. An alert ahead of a take-over request had the positive effect that the participants took over and intervened earlier in relation to the appearance of the take-over request. Overall, the authors' evaluation showed that bimodal warnings composed of textual and iconographic visual displays accompanied by alerting jingles and spoken messages are a promising approach to alert drivers and to ask them to take over.