TY - GEN
T1 - Hands-free but not Eyes-free
T2 - 5th ACM SIGIR Conference on Human Information Interaction and Retrieval, CHIIR 2020
AU - Larsen, Helene Høgh
AU - Scheel, Alexander Nuka
AU - Bogers, Toine
AU - Larsen, Birger
PY - 2020/3/14
Y1 - 2020/3/14
N2 - Distractions while driving are a major cause of traffic accidents and chief among these is the use of mobile phones. Driver distractions typically fall into four categories-visual, cognitive, bio-mechanical, and auditory-and different technological solutions have been proposed to address these. Intelligent Personal Assistants (IPAs), such as Siri, is a recent example of such a technological solution that offers the potential for hands-free phone interaction through a voice-controlled interface. IPAs could potentially reduce visual and bio-mechanical distractions if they are usable enough to not increase a driver's cognitive load. We present the results of a controlled experiment with the aim of understanding how the use of Siri while driving compares to manual interaction in terms of usability and distractions. We also tested these two interaction types in the lab in order to understand how the main driving task influences Siri's (perceived) usability. Our study shows that Siri is not ready for every-day use in the car: interacting with Siri while driving is likely to be unsafe for most participants, especially less experienced drivers. Participants were distracted by Siri due to its over-reliance on visual feedback as well as frequent time-outs by Siri when waiting for a response from a driver occupied with the road environment. Speech recognition quality in a noisy car as well as problematic multi-lingual speech recognition in general are other issues that resulted in low usability and more cognitive distractions. While interacting with Siri may be hands-free, it does not provide an eyes-free and distraction-free experience yet.
AB - Distractions while driving are a major cause of traffic accidents and chief among these is the use of mobile phones. Driver distractions typically fall into four categories-visual, cognitive, bio-mechanical, and auditory-and different technological solutions have been proposed to address these. Intelligent Personal Assistants (IPAs), such as Siri, is a recent example of such a technological solution that offers the potential for hands-free phone interaction through a voice-controlled interface. IPAs could potentially reduce visual and bio-mechanical distractions if they are usable enough to not increase a driver's cognitive load. We present the results of a controlled experiment with the aim of understanding how the use of Siri while driving compares to manual interaction in terms of usability and distractions. We also tested these two interaction types in the lab in order to understand how the main driving task influences Siri's (perceived) usability. Our study shows that Siri is not ready for every-day use in the car: interacting with Siri while driving is likely to be unsafe for most participants, especially less experienced drivers. Participants were distracted by Siri due to its over-reliance on visual feedback as well as frequent time-outs by Siri when waiting for a response from a driver occupied with the road environment. Speech recognition quality in a noisy car as well as problematic multi-lingual speech recognition in general are other issues that resulted in low usability and more cognitive distractions. While interacting with Siri may be hands-free, it does not provide an eyes-free and distraction-free experience yet.
KW - Driver distractions
KW - Mobile phones
KW - Intelligent Personal Assistants (IPAs)
KW - Voice-controlled interface
KW - Usability in driving
KW - Driver distractions
KW - Mobile phones
KW - Intelligent Personal Assistants (IPAs)
KW - Voice-controlled interface
KW - Usability in driving
U2 - 10.1145/3343413.3377962
DO - 10.1145/3343413.3377962
M3 - Article in proceedings
AN - SCOPUS:85082486940
T3 - CHIIR 2020 - Proceedings of the 2020 Conference on Human Information Interaction and Retrieval
SP - 63
EP - 72
BT - CHIIR '20: Proceedings of the 2020 Conference on Human Information Interaction and Retrieval
PB - Association for Computing Machinery
Y2 - 14 March 2020 through 18 March 2020
ER -