Caird, JeffSimmons, Sarah2016-08-192016-08-1920162016Simmons, S. (2016). Do In-Vehicle Systems Utilizing Voice-Recognition Technology Impact Driving Performance? A Systematic Review and Meta-Analysis (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/25733http://hdl.handle.net/11023/3190Newer model vehicles are often equipped with or capable of supporting hands-free systems that use voice-recognition technology. Although voice-recognition technology is viewed favourably among the public, it is not clear whether these systems should be considered safe alternatives to traditional handheld phones and visual-manual integrated systems. To answer this question, an exhaustive search was conducted to capture all experimental studies involving secondary tasks with voice-recognition systems where driving performance was measured. Meta-analyses for the performance measures of detection, reaction time, lateral control and longitudinal control were conducted with 43 studies meeting inclusion criteria. Some driving performance benefits were observed relative to visual-manual systems, but there were also considerable impairments relative to baseline driving. The results of the study indicate that voice-recognition systems, despite minimizing eyes-off-road time, have a distraction cost. Implications for driver education, voice-recognition system design and future research are also discussed.engUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.Psychology--CognitivePsychology--Experimentaldriver distractiondriving performancevoice-recognitionspeech-to-textmaster thesis10.11575/PRISM/25733