Smart Vehicle Proxemics: A Conceptual Framework Operationalizing Proxemics in the Context of Outside-the-Vehicle Interactions

We introduce smart vehicle proxemics, a conceptual framework for interactive vehicular applications that operationalizes proxemics to outside-the-vehicle interactions. We identify four zones around the vehicle affording different kinds of interactions and discuss the corresponding conceptual space along three dimensions (physical distance, interaction paradigm, and goal). We study the dimensions of this framework and synthesize our findings regarding drivers’ preferences for (i) information to obtain from their vehicles at a distance, (ii) system functions of their vehicles to control remotely, and (iii) devices (e.g., smartphones, smartglasses, smart key fobs) for interactions outside the vehicle. We discuss the positioning of smart vehicle proxemics in the context of proxemic interactions more generally, and expand on the dichotomy and complementarity of outside-the-vehicle and inside-the-vehicle interactions for new applications enabled by smart vehicle proxemics.

[1]  Stefan Schneegaß,et al.  User-Defined Voice and Mid-Air Gesture Commands for Maneuver-based Interventions in Automated Vehicles , 2019, MuC.

[2]  Radu-Daniel Vatavu,et al.  A design space for vehicular lifelogging to support creation of digital content in connected cars , 2019, EICS.

[3]  Mike Kuniavsky,et al.  Smart Things: Ubiquitous Computing User Experience Design , 2010 .

[4]  Meuel Jeong,et al.  "Why did this voice agent not understand me?": error recovery strategy for in-vehicle voice user interface , 2019, AutomotiveUI.

[5]  Radu-Daniel Vatavu,et al.  Detecting and Tracking Multiple Users in the Proximity of Interactive Tabletops , 2008 .

[6]  Ignacio Alvarez,et al.  Voice interfaced vehicle user help , 2010, AutomotiveUI.

[7]  Ki Jun Han,et al.  Social vehicle-to-everything (V2X) communication model for intelligent transportation systems based on 5G scenario , 2018, ICFNDS.

[8]  Alberto Ferreira de Souza,et al.  Self-Driving Cars: A Survey , 2019, Expert Syst. Appl..

[9]  Jean Vanderdonckt,et al.  Euphoria: A Scalable, event-driven architecture for designing interactions across heterogeneous devices in smart environments , 2019, Inf. Softw. Technol..

[10]  Saul Greenberg,et al.  Using digital but physical surrogates to mediate awareness, communication and privacy in media spaces , 1999, Personal Technologies.

[11]  Hongnan Lin,et al.  Using Passenger Elicitation for Developing Gesture Design Guidelines for Adjusting Highly Automated Vehicle Dynamics , 2019, Conference on Designing Interactive Systems.

[12]  S. Ilgin Guler,et al.  Traffic Signal Control Optimization in a Connected Vehicle Environment Considering Pedestrians , 2020 .

[13]  Tovi Grossman,et al.  Medusa: a proximity-aware multi-touch tabletop , 2011, UIST.

[14]  Yanyan Zhuang,et al.  A first look at vehicle data collection via smartphone sensors , 2015, 2015 IEEE Sensors Applications Symposium (SAS).

[15]  Radu-Daniel Vatavu,et al.  Towards Interactions with Augmented Reality Systems in Hyper-Connected Cars , 2019, EICS Workshops.

[16]  Sebastian Boring,et al.  Proxemic-Aware Controls: Designing Remote Controls for Ubiquitous Computing Ecologies , 2015, MobileHCI.

[17]  V. Braun,et al.  Using thematic analysis in psychology , 2006 .

[18]  Natasha Merat,et al.  Defining interactions: a conceptual framework for understanding interactive behaviour in human and automated road traffic , 2020 .

[19]  Daniel Vogel,et al.  Interactive public ambient displays: transitioning from implicit to explicit, public to personal, interaction with multiple users , 2004, UIST '04.

[20]  Reza N. Jazar,et al.  Artificial Intelligence and Internet of Things for Autonomous Vehicles , 2019, Nonlinear Approaches in Engineering Applications.

[21]  Radu-Daniel Vatavu,et al.  A multistudy investigation of drivers and passengers’ gesture and voice input preferences for in-vehicle interactions , 2020 .

[22]  Radu-Daniel Vatavu,et al.  Exploring Application Opportunities for Smart Vehicles in the Continuous Interaction Space Inside and Outside the Vehicle , 2021, INTERACT.

[23]  Bing-Fei Wu,et al.  Nighttime Vehicle Detection for Driver Assistance and Autonomous Vehicles , 2006, 18th International Conference on Pattern Recognition (ICPR'06).

[24]  Fariba Sadri,et al.  Ambient intelligence: A survey , 2011, CSUR.

[25]  Nengchao Lyu,et al.  Vehicle Trajectory Prediction and Cut-In Collision Warning Model in a Connected Vehicle Environment , 2022, IEEE Transactions on Intelligent Transportation Systems.

[26]  Stephen A. Brewster,et al.  May the Force Be with You: Ultrasound Haptic Feedback for Mid-Air Gesture Interaction in Cars , 2018, AutomotiveUI.

[27]  Mihai Chirca,et al.  Autonomous Valet Parking System Architecture , 2015, 2015 IEEE 18th International Conference on Intelligent Transportation Systems.

[28]  John D. Lee,et al.  Proxemics and Kinesics in Automated Vehicle–Pedestrian Communication: Representing Ethnographic Observations , 2019, Transportation Research Record: Journal of the Transportation Research Board.

[29]  Hamed Saghaei Design and Implementation of a Fleet Management System Using Novel GPS/GLONASS Tracker and Web-Based Software , 2016, ArXiv.

[30]  Jens Emil Grønbæk,et al.  Proxemics Beyond Proximity: Designing for Flexible Social Interaction Through Cross-Device Interaction , 2020, CHI.

[31]  Kris Luyten,et al.  Proxemic Flow: Dynamic Peripheral Floor Visualizations for Revealing and Mediating Large Surface Interactions , 2015, INTERACT.

[32]  Nicolai Marquardt,et al.  Proxemic interactions: the new ubicomp? , 2011, INTR.

[33]  Liang-Bi Chen,et al.  Design and Implementation of a Drowsiness-Fatigue-Detection System Based on Wearable Smart Glasses to Increase Road Safety , 2018, IEEE Transactions on Consumer Electronics.

[34]  Paresh Keshubhai Nakrani Smart Car Technologies: A Comprehensive Study of the State of the Art with Analysis and Trends , 2015 .

[35]  Daniel Brand,et al.  Pointing at the HUD: Gesture Interaction Using a Leap Motion , 2016, AutomotiveUI.

[36]  Elena Mugellini,et al.  Gesturing on the Steering Wheel: a User-elicited taxonomy , 2014, AutomotiveUI.

[37]  Radu-Daniel Vatavu,et al.  A Synopsis of Input Modalities for In-Vehicle Infotainment and Consumption of Interactive Media , 2020, IMX.

[38]  Saul Greenberg,et al.  Proxemic interaction: designing for a proximity and orientation-aware environment , 2010, ITS '10.

[39]  Giovanni Pau,et al.  An Overview of Vehicular Communications , 2019, Future Internet.

[40]  Elisabeth Uhlemann,et al.  Introducing Connected Vehicles [Connected Vehicles] , 2015, IEEE Vehicular Technology Magazine.

[41]  Morten Fjeld,et al.  Exploring Proxemics for Human-Drone Interaction , 2017, HAI.

[42]  Shuaiyang Jiao,et al.  A Vehicle Lane-Changing Model Based on Connected Vehicles , 2020 .

[43]  Marchel T. Tombeng,et al.  Smart Car: Digital Controlling System Using Android Smartwatch Voice Recognition , 2018, 2018 6th International Conference on Cyber and IT Service Management (CITSM).

[44]  Jacques M. B. Terken,et al.  Pedestrian Interaction with Vehicles: Roles of Explicit and Implicit Communication , 2017, AutomotiveUI.

[45]  Albrecht Schmidt,et al.  Proxemic zones of exhibits and their manipulation using floor projection , 2016, PerDis.

[46]  Bilge Mutlu,et al.  Human-robot proxemics: Physical and psychological distancing in human-robot interaction , 2011, 2011 6th ACM/IEEE International Conference on Human-Robot Interaction (HRI).

[47]  Andreas Kerren,et al.  Controlling In-Vehicle Systems with a Commercial EEG Headset: Performance and Cognitive Load , 2011, VLUDS.

[48]  Bruce N. Walker,et al.  Designing an In-Vehicle Air Gesture Set Using Elicitation Methods , 2017, AutomotiveUI.

[49]  Nicolai Marquardt,et al.  The proximity toolkit: prototyping proxemic interactions in ubiquitous computing ecologies , 2011, UIST.

[50]  Radu-Daniel Vatavu,et al.  Empirical Results for High-definition Video and Augmented Reality Content Delivery in Hyper-connected Cars , 2021, Interact. Comput..

[51]  Alexandra Dmitrienko,et al.  Smart keys for cyber-cars: secure smartphone-based NFC-enabled car immobilizer , 2013, CODASPY.

[52]  Sajal K. Das,et al.  Smart Environments: Technology, Protocols and Applications (Wiley Series on Parallel and Distributed Computing) , 2004 .

[53]  E. Hall,et al.  The Hidden Dimension , 1970 .

[54]  Yiheng Feng,et al.  Data Infrastructure for Connected Vehicle Applications , 2020 .

[55]  Katunobu Itou,et al.  Voice authentication by text dependent single utterance for in-car environment , 2019, SoICT 2019.

[56]  Natasha Merat,et al.  Road users rarely use explicit communication when interacting in today’s traffic: implications for automated vehicles , 2020, Cognition, Technology & Work.

[57]  Elena Mugellini,et al.  Opportunistic synergy: a classifier fusion engine for micro-gesture recognition , 2013, AutomotiveUI.

[58]  Wu He,et al.  Developing Vehicular Data Cloud Services in the IoT Environment , 2014, IEEE Transactions on Industrial Informatics.

[59]  Meredith Ringel Morris,et al.  User-defined gestures for surface computing , 2009, CHI.

[60]  Radu-Daniel Vatavu There's a world outside your TV: exploring interactions beyond the physical TV screen , 2013, EuroITV.

[61]  Radu-Daniel Vatavu,et al.  From Controls on the Steering Wheel to Controls on the Finger: Using Smart Rings for In-Vehicle Interactions , 2020, Conference on Designing Interactive Systems.

[62]  Matjaz Gams,et al.  Semantic ambient media: From ambient advertising to ambient-assisted living , 2011, Multimedia Tools and Applications.