auditory interfaces
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2021 ◽  
Vol 96 ◽  
pp. 103432
Author(s):  
Sharmila Sreetharan ◽  
Joseph J. Schlesinger ◽  
Michael Schutz

Author(s):  
Manuela Quaresma ◽  
Isabela Motta ◽  
Manuella Araújo ◽  
Rafael Cirino Gonçalves

The increasing use of smartphones in parallel to driving presents great risks to drivers, who split their attention from the road to inside the vehicle. It is arguably, then, that sound may be an efficient alternative to communicating information of in-vehicle interfaces to drivers. This paper presents a study that aimed to investigate the relationship between rhythm variation in earcons and drivers’ perception of distance, as well as the impact of previous experience with in-vehicles’ auditory interfaces on the perception of this relation. The results showed that participants can establish a consistent and direct relationship between rhythm variation and distance and that participants with previous experience with auditory interfaces presented smaller mean perceived distances than inexperienced participants when exposed to alarms with the same rhythms.


Author(s):  
Pavlo Bazilinskyy ◽  
Joost C. F. De Winter

This study investigated peoples’ opinion on auditory interfaces in contemporary cars and their willingness to be exposed to auditory feedback in automated driving. We used an Internet-based survey to collect 1,205 responses from 91 countries. The participants stated their attitudes towards two existing auditory driver assistance systems, a parking assistant (PA) and forward collision warning system (FCWS), as well as towards a futuristic augmented sound system (FS) proposed for fully automated driving. The respondents were positive towards the PA and FCWS, and rated their willingness to have these systems as 3.87 and 3.77, respectively (1 = disagree strongly, 5 = agree strongly). The respondents tolerated the FS. The results showed that a female voice is the most preferred feedback mode for the support of takeover requests in highly automated driving, regardless of whether the respondents’ country is English speaking or not. The present results could be useful for designers of automated vehicles and other stakeholders.


Author(s):  
Pavlo Bazilinskyy ◽  
Joost C. F. De Winter

This study investigated peoples’ opinion on auditory interfaces in contemporary cars and their willingness to be exposed to auditory feedback in automated driving. We used an Internet-based survey to collect 1,205 responses from 91 countries. The participants stated their attitudes towards two existing auditory driver assistance systems, a parking assistant (PA) and forward collision warning system (FCWS), as well as towards a futuristic augmented sound system (FS) proposed for fully automated driving. The respondents were positive towards the PA and FCWS, and rated their willingness to have these systems as 3.87 and 3.77, respectively (1 = disagree strongly, 5 = agree strongly). The respondents tolerated the FS. The results showed that a female voice is the most preferred feedback mode for the support of takeover requests in highly automated driving, regardless of whether the respondents’ country is English speaking or not. The present results could be useful for designers of automated vehicles and other stakeholders.


Author(s):  
Pavlo Bazilinskyy ◽  
Joost C. F. De Winter

This study investigated peoples’ opinion on auditory interfaces in contemporary cars and their willingness to be exposed to auditory feedback in automated driving. We used an Internet-based survey to collect 1,205 responses from 91 countries. The participants stated their attitudes towards two existing auditory driver assistance systems, a parking assistant (PA) and forward collision warning system (FCWS), as well as towards a futuristic augmented sound system (FS) proposed for fully automated driving. The respondents were positive towards the PA and FCWS, and rated their willingness to have these systems as 3.87 and 3.77, respectively (1 = disagree strongly, 5 = agree strongly). The respondents tolerated the FS. The results showed that a female voice is the most preferred feedback mode for the support of takeover requests in highly automated driving, regardless of whether the respondents’ country is English speaking or not. The present results could be useful for designers of automated vehicles and other stakeholders.


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