D. Large, Victoria A. Banks, G. Burnett, N. Margaritis
Unencumbered by the need to provide permanent manual control, future autonomous vehicles may be absent of traditional driving elements, such as a steering wheel and foot-pedals. While this provides additional space/comfort for drivers, an alternative device/s, that enables quick and effective manual control recovery, may still be required. Twenty participants, comprising an equal number of 'Drivers' and 'Non-Drivers', undertook two drives utilising a medium-fidelity simulator in which the original steering wheel and pedal-set were removed/deactivated. Participants controlled the vehicle using a centrally-mounted joystick in 2 scenarios: following an unexpected take-over request and during an extended period of manual driving. Results show that both groups rated the technology positively and were generally capable of manoeuvring the vehicle. Nevertheless, the groups differed in the way that performance was effected. For example, significant differences were evident in visual behaviour, resulting in 50% (n=5) of Non-Drivers colliding with another vehicle following transfer of control.
{"title":"Putting the Joy in Driving: Investigating the Use of a Joystick as an Alternative to Traditional Controls within Future Autonomous Vehicles","authors":"D. Large, Victoria A. Banks, G. Burnett, N. Margaritis","doi":"10.1145/3122986.3122996","DOIUrl":"https://doi.org/10.1145/3122986.3122996","url":null,"abstract":"Unencumbered by the need to provide permanent manual control, future autonomous vehicles may be absent of traditional driving elements, such as a steering wheel and foot-pedals. While this provides additional space/comfort for drivers, an alternative device/s, that enables quick and effective manual control recovery, may still be required. Twenty participants, comprising an equal number of 'Drivers' and 'Non-Drivers', undertook two drives utilising a medium-fidelity simulator in which the original steering wheel and pedal-set were removed/deactivated. Participants controlled the vehicle using a centrally-mounted joystick in 2 scenarios: following an unexpected take-over request and during an extended period of manual driving. Results show that both groups rated the technology positively and were generally capable of manoeuvring the vehicle. Nevertheless, the groups differed in the way that performance was effected. For example, significant differences were evident in visual behaviour, resulting in 50% (n=5) of Non-Drivers colliding with another vehicle following transfer of control.","PeriodicalId":143620,"journal":{"name":"Proceedings of the 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134584777","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sang-Gyun An, Yongkwan Kim, Joon Hyub Lee, Seok-Hyung Bae
Technological advances and socioeconomic disruptions such as self-driving cars, car-sharing services and artificial intelligence assistance may fundamentally alter interactions inside the future car. However, existing design tools and processes geared toward static physical authoring are ill-equipped for such interaction design. We propose a new design workflow that combines experience prototyping methods typically used by the user interface and product design communities with 3D sketching and haptic helper techniques to help automotive designers ideate, prototype, experience and evaluate multi-sensory interactions in a collaborative manner. Using our workflow, designers use 3D sketching to quickly and expressively author 3D shape and motion ideas in space; augment them with tactile and other sensory feedback through physical proxies and other available gadgets; and immediately enact and immersively experience them to progressively explore and develop them.
{"title":"Collaborative Experience Prototyping of Automotive Interior in VR with 3D Sketching and Haptic Helpers","authors":"Sang-Gyun An, Yongkwan Kim, Joon Hyub Lee, Seok-Hyung Bae","doi":"10.1145/3122986.3123002","DOIUrl":"https://doi.org/10.1145/3122986.3123002","url":null,"abstract":"Technological advances and socioeconomic disruptions such as self-driving cars, car-sharing services and artificial intelligence assistance may fundamentally alter interactions inside the future car. However, existing design tools and processes geared toward static physical authoring are ill-equipped for such interaction design. We propose a new design workflow that combines experience prototyping methods typically used by the user interface and product design communities with 3D sketching and haptic helper techniques to help automotive designers ideate, prototype, experience and evaluate multi-sensory interactions in a collaborative manner. Using our workflow, designers use 3D sketching to quickly and expressively author 3D shape and motion ideas in space; augment them with tactile and other sensory feedback through physical proxies and other available gadgets; and immediately enact and immersively experience them to progressively explore and develop them.","PeriodicalId":143620,"journal":{"name":"Proceedings of the 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130931078","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Stephanie Balters, S. Sibi, Mishel Johns, M. Steinert, Wendy Ju
The advent of automated features in modern vehicles requires human factors researchers to find measures other than driving behavior to anticipate the response of drivers in various contexts. Functional near-infrared spectroscopy (fNIRS) is one research tool that allows us to quantify the driver's mental state. However, the underlying mechanisms of fNIRS technology can limit the possible contexts for its application. The pervasive question arises, whether the measurement device at hand is suitable for the research topic in question and is it capable of detecting the phenomenon under investigation? We provide a proof of concept study demonstrating that significant habituation is present when drivers operate new automated driving systems and that fNIRS technology is suitable to detect said driver habituation effects. The study presented here was conducted in a driving simulator and investigated the drivers' cortical activation in three different modes of automation: manual, partially autonomous, and fully autonomous modes.
{"title":"Learning-by-Doing: Using Near Infrared Spectroscopy to Detect Habituation and Adaptation in Automated Driving","authors":"Stephanie Balters, S. Sibi, Mishel Johns, M. Steinert, Wendy Ju","doi":"10.1145/3122986.3123006","DOIUrl":"https://doi.org/10.1145/3122986.3123006","url":null,"abstract":"The advent of automated features in modern vehicles requires human factors researchers to find measures other than driving behavior to anticipate the response of drivers in various contexts. Functional near-infrared spectroscopy (fNIRS) is one research tool that allows us to quantify the driver's mental state. However, the underlying mechanisms of fNIRS technology can limit the possible contexts for its application. The pervasive question arises, whether the measurement device at hand is suitable for the research topic in question and is it capable of detecting the phenomenon under investigation? We provide a proof of concept study demonstrating that significant habituation is present when drivers operate new automated driving systems and that fNIRS technology is suitable to detect said driver habituation effects. The study presented here was conducted in a driving simulator and investigated the drivers' cortical activation in three different modes of automation: manual, partially autonomous, and fully autonomous modes.","PeriodicalId":143620,"journal":{"name":"Proceedings of the 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124125650","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
B. Seppelt, Sean Seaman, Linda S. Angell, Bruce Mehler, B. Reimer
Voice interfaces offer promise in allowing drivers to keep their eyes on-road and hands on-wheel. In relieving visualmanual demand, there is the potential for voice-enabled interfaces to inadvertently shift the burden of load to cognitive resources. Measurement approaches are needed that can identify when and to what extent cognitive load is present during driving. A modified form of the AttenD algorithm was applied to assess the amount of cognitive load present in a set of auditory-vocal task interactions. These tasks were subset from a larger on-road study conducted in the Boston area of driver response during use of an in-vehicle voice system [22]. The modified algorithm differentiated among the set of auditory-vocal tasks examined -- and may be useful to HMI practitioners who are working to develop and evaluate HMIs to support drivers in managing their attention to the road, and in the development of real-time driver attention monitoring systems.
{"title":"Differentiating Cognitive Load Using a Modified Version of AttenD","authors":"B. Seppelt, Sean Seaman, Linda S. Angell, Bruce Mehler, B. Reimer","doi":"10.1145/3122986.3123019","DOIUrl":"https://doi.org/10.1145/3122986.3123019","url":null,"abstract":"Voice interfaces offer promise in allowing drivers to keep their eyes on-road and hands on-wheel. In relieving visualmanual demand, there is the potential for voice-enabled interfaces to inadvertently shift the burden of load to cognitive resources. Measurement approaches are needed that can identify when and to what extent cognitive load is present during driving. A modified form of the AttenD algorithm was applied to assess the amount of cognitive load present in a set of auditory-vocal task interactions. These tasks were subset from a larger on-road study conducted in the Boston area of driver response during use of an in-vehicle voice system [22]. The modified algorithm differentiated among the set of auditory-vocal tasks examined -- and may be useful to HMI practitioners who are working to develop and evaluate HMIs to support drivers in managing their attention to the road, and in the development of real-time driver attention monitoring systems.","PeriodicalId":143620,"journal":{"name":"Proceedings of the 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121102758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Anna-Katharina Frison, Philipp Wintersberger, A. Riener, Clemens Schartmüller
A prerequisite to foster proliferation of automated driving is common system acceptance. However, different users groups (novice, enthusiasts) decline automation, which could be, in turn, problematic for a successful market launch. We see a feasible solution in the combination of the advantages of manual (autonomy) and automated (increased safety) driving. Hence, we've developed the Hotzenplotz interface, combining possibility-driven design with psychological user needs. A simulator study (N=30) was carried-out to assess user experience with subjective criteria (Need Scale, PANAS/-X, HEMA, AttrakDiff) and quantitative measures (driving behavior, HR/HRV) in different conditions. Our results confirm that pure AD is significantly less able to satisfy user needs compared to manual driving and make people feeling bored/out of control. In contrast, the Hotzenplotz interface has proven to reduce the negative effects of AD. Our implication is that drivers should be provided with different control options to secure acceptance and avoid deskilling.
{"title":"Driving Hotzenplotz: A Hybrid Interface for Vehicle Control Aiming to Maximize Pleasure in Highway Driving","authors":"Anna-Katharina Frison, Philipp Wintersberger, A. Riener, Clemens Schartmüller","doi":"10.1145/3122986.3123016","DOIUrl":"https://doi.org/10.1145/3122986.3123016","url":null,"abstract":"A prerequisite to foster proliferation of automated driving is common system acceptance. However, different users groups (novice, enthusiasts) decline automation, which could be, in turn, problematic for a successful market launch. We see a feasible solution in the combination of the advantages of manual (autonomy) and automated (increased safety) driving. Hence, we've developed the Hotzenplotz interface, combining possibility-driven design with psychological user needs. A simulator study (N=30) was carried-out to assess user experience with subjective criteria (Need Scale, PANAS/-X, HEMA, AttrakDiff) and quantitative measures (driving behavior, HR/HRV) in different conditions. Our results confirm that pure AD is significantly less able to satisfy user needs compared to manual driving and make people feeling bored/out of control. In contrast, the Hotzenplotz interface has proven to reduce the negative effects of AD. Our implication is that drivers should be provided with different control options to secure acceptance and avoid deskilling.","PeriodicalId":143620,"journal":{"name":"Proceedings of the 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123947321","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dennis Orth, Nadja Schömig, Christian Mark, Monika Jagiellowicz-Kaufmann, D. Kolossa, M. Heckmann
We have previously introduced a novel Assistance On Demand (AOD) concept in the context of an urban speech-based left-turn assistant which supports the driver in monitoring and decision making by providing recommendations for suitable time gaps to enter the intersection. In a first user study participants showed a clear preference for the AOD system, yet also frequently mentioned that the recommended gaps did not fit their driving behavior. In the user study we present here, we investigate in how far the acceptance and efficiency of the AOD system can be increased by a personalization of the recommended gaps to the individual driver. For this purpose, we estimate individual drivers' gap acceptance from observations of their manual driving and use it to evaluate a default and a personalized variant of the AOD system. Results reveal a clear preference for the personalized assistant compared to the default one and to driving manually.
{"title":"Benefits of Personalization in the Context of a Speech-Based Left-Turn Assistant","authors":"Dennis Orth, Nadja Schömig, Christian Mark, Monika Jagiellowicz-Kaufmann, D. Kolossa, M. Heckmann","doi":"10.1145/3122986.3123004","DOIUrl":"https://doi.org/10.1145/3122986.3123004","url":null,"abstract":"We have previously introduced a novel Assistance On Demand (AOD) concept in the context of an urban speech-based left-turn assistant which supports the driver in monitoring and decision making by providing recommendations for suitable time gaps to enter the intersection. In a first user study participants showed a clear preference for the AOD system, yet also frequently mentioned that the recommended gaps did not fit their driving behavior. In the user study we present here, we investigate in how far the acceptance and efficiency of the AOD system can be increased by a personalization of the recommended gaps to the individual driver. For this purpose, we estimate individual drivers' gap acceptance from observations of their manual driving and use it to evaluate a default and a personalized variant of the AOD system. Results reveal a clear preference for the personalized assistant compared to the default one and to driving manually.","PeriodicalId":143620,"journal":{"name":"Proceedings of the 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132690816","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ruilin Liu, Daehan Kwak, Srinivas Devarakonda, Kostas E. Bekris, L. Iftode
Remote driving brings human operators with sophisticated perceptual and cognitive skills into an over-the-network control loop, with the hope of addressing the challenging aspects of vehicular autonomy based exclusively on artificial intelligence (AI). This paper studies the human behavior in a remote driving setup, i.e., how human remote drivers perform and assess their workload under the state-of-the-art network conditions. To explore this, we build a scaled remote driving prototype and conduct a controlled human study with varying network delays based on current commercial LTE network technology. The study demonstrates that remote driving over LTE is not immediately feasible, primarily caused by network delay variability rather than delay magnitude. In addition, our findings indicate that the negative effects of remote driving over LTE can be mitigated by a video frame arrangement strategy that regulates delay magnitude to achieve a smoother display.
{"title":"Investigating Remote Driving over the LTE Network","authors":"Ruilin Liu, Daehan Kwak, Srinivas Devarakonda, Kostas E. Bekris, L. Iftode","doi":"10.1145/3122986.3123008","DOIUrl":"https://doi.org/10.1145/3122986.3123008","url":null,"abstract":"Remote driving brings human operators with sophisticated perceptual and cognitive skills into an over-the-network control loop, with the hope of addressing the challenging aspects of vehicular autonomy based exclusively on artificial intelligence (AI). This paper studies the human behavior in a remote driving setup, i.e., how human remote drivers perform and assess their workload under the state-of-the-art network conditions. To explore this, we build a scaled remote driving prototype and conduct a controlled human study with varying network delays based on current commercial LTE network technology. The study demonstrates that remote driving over LTE is not immediately feasible, primarily caused by network delay variability rather than delay magnitude. In addition, our findings indicate that the negative effects of remote driving over LTE can be mitigated by a video frame arrangement strategy that regulates delay magnitude to achieve a smoother display.","PeriodicalId":143620,"journal":{"name":"Proceedings of the 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131864322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Katia Buchhop, L. Edel, Sabrin-Leila Kenaan, Ulrike Raab, Patricia Böhm, Daniel Isemann
Even though they are a known source of distraction, touchscreens have become increasingly commonplace in in-vehicle infotainment systems (IVIS). We explore a novel approach to possibly make the use of in-vehicle touchscreens safer, by displaying the road ahead directly above a touchscreen-based IVIS. This may allow the driver to keep the road in his field of vision through the head-down display (HDD) during IVIS interaction. A within-group study was conducted with 24 participants in a simulated automotive environment, comparing a configuration with and without livestream HDD. Reaction rates and times to obstacles were measured and subjective ratings recorded with the NASA TLX and a qualitative questionnaire. While qualitative measurements indicate that the concept may hold the potential to improve the driver's interaction with an IVIS, differences in quantitative metrics were not statistically significant. We reflect possible reasons for this based on an analysis of participants' behaviour and our qualitative results.
{"title":"In-Vehicle Touchscreen Interaction: Can a Head-Down Display Give a Heads-Up on Obstacles on the Road?","authors":"Katia Buchhop, L. Edel, Sabrin-Leila Kenaan, Ulrike Raab, Patricia Böhm, Daniel Isemann","doi":"10.1145/3122986.3123001","DOIUrl":"https://doi.org/10.1145/3122986.3123001","url":null,"abstract":"Even though they are a known source of distraction, touchscreens have become increasingly commonplace in in-vehicle infotainment systems (IVIS). We explore a novel approach to possibly make the use of in-vehicle touchscreens safer, by displaying the road ahead directly above a touchscreen-based IVIS. This may allow the driver to keep the road in his field of vision through the head-down display (HDD) during IVIS interaction. A within-group study was conducted with 24 participants in a simulated automotive environment, comparing a configuration with and without livestream HDD. Reaction rates and times to obstacles were measured and subjective ratings recorded with the NASA TLX and a qualitative questionnaire. While qualitative measurements indicate that the concept may hold the potential to improve the driver's interaction with an IVIS, differences in quantitative metrics were not statistically significant. We reflect possible reasons for this based on an analysis of participants' behaviour and our qualitative results.","PeriodicalId":143620,"journal":{"name":"Proceedings of the 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131345544","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Shadan Sadeghian Borojeni, Torben Wallbaum, Wilko Heuten, Susanne CJ Boll
Automation shortcomings in highly automated driving (level 3) might require the driver to take over vehicle control. When the vehicle issues a take-over request (TOR), the driver has to immediately comprehend the situation, which highly demands visual attention. Therefore, haptic channel has the potential to be used for conveying information about driving context at take-over to assist decision making. In this work, we introduce the concept and prototype design of a shape-changing steering wheel which conveys contextual information at take-over. We evaluated this concept in comparison with an identical wheel with vibration cues. Results showed that haptic cues on steering wheel at TOR reassure drivers of their decisions rather than assisting them in decision making, and overall workload ratings are decreased using vibration cues. To assist decision making, contextual haptic cues in level 3 should be located on-body or on drivers' seat.
{"title":"Comparing Shape-Changing and Vibro-Tactile Steering Wheels for Take-Over Requests in Highly Automated Driving","authors":"Shadan Sadeghian Borojeni, Torben Wallbaum, Wilko Heuten, Susanne CJ Boll","doi":"10.1145/3122986.3123003","DOIUrl":"https://doi.org/10.1145/3122986.3123003","url":null,"abstract":"Automation shortcomings in highly automated driving (level 3) might require the driver to take over vehicle control. When the vehicle issues a take-over request (TOR), the driver has to immediately comprehend the situation, which highly demands visual attention. Therefore, haptic channel has the potential to be used for conveying information about driving context at take-over to assist decision making. In this work, we introduce the concept and prototype design of a shape-changing steering wheel which conveys contextual information at take-over. We evaluated this concept in comparison with an identical wheel with vibration cues. Results showed that haptic cues on steering wheel at TOR reassure drivers of their decisions rather than assisting them in decision making, and overall workload ratings are decreased using vibration cues. To assist decision making, contextual haptic cues in level 3 should be located on-body or on drivers' seat.","PeriodicalId":143620,"journal":{"name":"Proceedings of the 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123484402","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper presents an investigation into the effects of different feedback modalities on mid-air gesture interaction for infotainment systems in cars. Car crashes and near-crash events are most commonly caused by driver distraction. Mid-air interaction is a way of reducing driver distraction by reducing visual demand from infotainment. Despite a range of available modalities, feedback in mid-air gesture systems is generally provided through visual displays. We conducted a simulated driving study to investigate how different types of multimodal feedback can support in-air gestures. The effects of different feedback modalities on eye gaze behaviour, and the driving and gesturing tasks are considered. We found that feedback modality influenced gesturing behaviour. However, drivers corrected falsely executed gestures more often in non-visual conditions. Our findings show that non-visual feedback can reduce visual distraction significantly
{"title":"Novel Multimodal Feedback Techniques for In-Car Mid-Air Gesture Interaction","authors":"Gözel Shakeri, John Williamson, S. Brewster","doi":"10.1145/3122986.3123011","DOIUrl":"https://doi.org/10.1145/3122986.3123011","url":null,"abstract":"This paper presents an investigation into the effects of different feedback modalities on mid-air gesture interaction for infotainment systems in cars. Car crashes and near-crash events are most commonly caused by driver distraction. Mid-air interaction is a way of reducing driver distraction by reducing visual demand from infotainment. Despite a range of available modalities, feedback in mid-air gesture systems is generally provided through visual displays. We conducted a simulated driving study to investigate how different types of multimodal feedback can support in-air gestures. The effects of different feedback modalities on eye gaze behaviour, and the driving and gesturing tasks are considered. We found that feedback modality influenced gesturing behaviour. However, drivers corrected falsely executed gestures more often in non-visual conditions. Our findings show that non-visual feedback can reduce visual distraction significantly","PeriodicalId":143620,"journal":{"name":"Proceedings of the 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127939469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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