Identifying modeling forms of instrument panel system in intelligent shared cars: a study for perceptual preference and in-vehicle behaviors

A sustainable human-machine interface design has been highlighted for shared cars which is environmentally friendly. To improve people’s perceptual, psychological, and behavioral experience in shared cars, this study revealed the relationship between modeling forms of the instrument panel and interaction performance. Modeling forms include the panel layout and the central screen installation type. After classifying existing panel layout designs into four kinds, this study relied on System Usability Scale ( n  = 182) to score them and clarify the usability of each kind. The one with the best usability (the symmetrical driver-oriented layout) was identified and ANOVA was used to judge the significance of the difference. Then, three central screen installation types were analyzed and sorted by means of analytic hierarchy process. Based on the above analysis for perceptual preference, behavioral experiments were carried out ( n  = 60) in intelligent vehicles equipped with the two advantageous screens (all-in-one type and semi-detached type) to analyze electrocardiograph data and workload of typical interaction behaviors. The logit model showed that when interacting with the SD-AIO panel (the panel of symmetrical driver-oriented layout with an all-in-one type screen), tension level was often lower in both driving and secondary tasks. Besides, we explored how the heart rate of specific tasks influenced the total completion time. The conclusion confirmed the advantages of SD-AIO panel, which could contribute to a sustainable interaction with high traffic efficiency.

[1]  Zhiying Liu,et al.  Why are experienced users of WeChat likely to continue using the app? , 2018, Asia Pacific Journal of Marketing and Logistics.

[2]  Toru Hagiwara,et al.  Effect of Multiple Resource Competition on Driving Performance Using an In-Vehicle Information System , 2014 .

[3]  Wu Tao,et al.  Efficient Digital Signage-Based Online Store Layout: An Experimental Study , 2016 .

[4]  Xiexing Feng,et al.  The effects of using taxi-hailing application on driving performance , 2018, ArXiv.

[5]  A. M. R. Ribeiro,et al.  Psychoacoustics of in-car switch buttons: From feelings to engineering parameters , 2016 .

[6]  Myung Hwan Yun,et al.  Evaluation of product usability: development and validation of usability dimensions and design elements based on empirical models , 2000 .

[7]  Sun Yujie,et al.  Control Interface Design of Aircraft Cockpit by the Kansei Engineering , 2015 .

[9]  Nigan Bayazit,et al.  An ergonomics based design research method for the arrangement of helicopter flight instrument panels. , 2015, Applied ergonomics.

[10]  Hussain H. Alzoubi,et al.  The Effect of Interior Design Elements and Lighting Layouts on Prospective Occupants’ Perceptions of Amenity and Efficiency in Living Rooms , 2017 .

[11]  Lei Zhang,et al.  Evaluation of a cockpit by eye modeling based luminous environment simulation , 2010, 2010 3rd International Conference on Biomedical Engineering and Informatics.

[12]  Ying Zhao,et al.  Analysis of Effects of Interaction Modes on IVIS Based on Sensory Information Recognition , 2018, BDIOT 2018.

[13]  Mark R. Lehto,et al.  Affective evaluation of user impressions using virtual product prototyping , 2011 .

[14]  Gavriel Salvendy,et al.  Handbook of Human Factors and Ergonomics , 2005 .

[15]  Michel J. Johnson,et al.  Exploring simulated driving performance among varsity male soccer players , 2019, Traffic injury prevention.

[16]  Shana Smith,et al.  The relationships between automobile head-up display presentation images and drivers' Kansei , 2011, Displays.

[17]  M. G. Shishaev,et al.  The Experience of Building Cognitive User Interfaces of Multidomain Information Systems Based on the Mental Model of Users , 2017, CSOC.

[18]  George Dimitrakopoulos,et al.  An empirical investigation on consumers’ intentions towards autonomous driving , 2018, Transportation Research Part C: Emerging Technologies.

[19]  Ting Li,et al.  The Study of Reducer Modeling Language Design Based on Symmetry , 2018 .

[20]  Chih-Chieh Yang,et al.  Green technology automotive shape design based on neural networks and support vector regression , 2014 .

[21]  Alfonso Montella,et al.  An Exploratory Analysis of Curve Trajectories on Two-Lane Rural Highways , 2018, Sustainability.

[22]  Roberto Sacile,et al.  Enhancing safety of transport by road by on-line monitoring of driver emotions , 2016, 2016 11th System of Systems Engineering Conference (SoSE).

[23]  Gang Guo,et al.  Vehicle Human-Machine Interaction Interface Evaluation Method Based on Eye Movement and Finger Tracking Technology , 2019, HCI.

[24]  Kening Wu,et al.  Demand prediction and regulation zoning of urban-industrial land: Evidence from Beijing-Tianjin-Hebei Urban Agglomeration, China , 2019, Environmental Monitoring and Assessment.

[25]  John M. Washeleski,et al.  Instrument Panel and Cockpit Designers Gain Freedom of Styling with Unique Capacitive Touch Screens , 2010 .

[27]  Chen Liu,et al.  Interactive visualizations for decision support: Application of Rasmussen's abstraction-aggregation hierarchy. , 2017, Applied ergonomics.

[28]  Victor Y. Chen,et al.  Effects of interface layout on the usability of In-Vehicle Information Systems and driving safety , 2017, Displays.

[29]  Kyung-Yong Chung,et al.  Discovery of automotive design paradigm using relevance feedback , 2013, Personal and Ubiquitous Computing.

[30]  Andry Rakotonirainy,et al.  A Critical Review of Proactive Detection of Driver Stress Levels Based on Multimodal Measurements , 2018, ACM Comput. Surv..

[31]  Mandy R. Drew,et al.  What Does the System Usability Scale (SUS) Measure? - Validation Using Think Aloud Verbalization and Behavioral Metrics , 2018, HCI.

[32]  Jae-Won Lee,et al.  Using Wearable ECG/PPG Sensors for Driver Drowsiness Detection Based on Distinguishable Pattern of Recurrence Plots , 2019, Electronics.

[33]  Sabine Langlois,et al.  Designing Human-Machine Interface for Autonomous Vehicles , 2016 .

[34]  Moshe Zviran,et al.  User satisfaction from commercial web sites: The effect of design and use , 2006, Inf. Manag..

[35]  Cengiz Kahraman,et al.  Design evaluation model for display designs of automobiles , 2014, J. Intell. Fuzzy Syst..

[36]  Hui Zhang,et al.  Evaluation of Bus Networks in China: From Topology and Transfer Perspectives , 2015 .

[37]  Bart Kosko,et al.  Fuzzy throttle and brake control for platoons of smart cars , 1996, Fuzzy Sets Syst..

[38]  Pei-Luen Patrick Rau,et al.  Mobile phone use while driving: Predicting drivers’ answering intentions and compensatory decisions , 2012 .

[39]  Heetae Kim,et al.  Understanding driver adoption of car navigation systems using the extended technology acceptance model , 2015, Behav. Inf. Technol..

[40]  Andrea Gaiardo,et al.  Interaction design for sustainable mobility system , 2015 .

[41]  Tom Wellings,et al.  Understanding customers' holistic perception of switches in automotive human-machine interfaces. , 2010, Applied ergonomics.

[42]  Paolo Napoletano,et al.  Combining heart and breathing rate for car driver stress recognition , 2018, 2018 IEEE 8th International Conference on Consumer Electronics - Berlin (ICCE-Berlin).

[43]  H. Ding,et al.  Fuzzy avoidance control strategy for redundant manipulators , 1999 .

[44]  Salvador Mondragón,et al.  Semantic Differential applied to the evaluation of machine tool design , 2005 .

[45]  Vivek Bhise,et al.  Ergonomics in the Automotive Design Process , 2011 .

[46]  Francesca Conte,et al.  Communicating Sustainability: An Operational Model for Evaluating Corporate Websites , 2016 .

[47]  Francisco Javier Díaz Pernas,et al.  A Physiological Sensor-Based Android Application Synchronized with a Driving Simulator for Driver Monitoring , 2019, Sensors.

[48]  Ming Xie,et al.  Color modeling by spherical influence field in sensing driving environment , 2000, Proceedings of the IEEE Intelligent Vehicles Symposium 2000 (Cat. No.00TH8511).

[49]  Monica Bordegoni,et al.  Evaluation of hydraulic excavator Human–Machine Interface concepts using NASA TLX , 2014 .

[50]  Zhao Ying Product Service System Design Research of B2C Carsharing Based on Beijing , 2019 .

[51]  Ali Azadeh,et al.  Simulation Optimization of Facility Layout Design Problem with , 2014 .

[52]  Chenxi Li,et al.  Social Stability Risk Assessment of Land Expropriation: Lessons from the Chinese Case , 2019, International journal of environmental research and public health.

[53]  Nathalie Herbeth,et al.  Product appraisal dimensions impact emotional responses and visual acceptability of instrument panels , 2013 .

[54]  Jonny Kuo,et al.  Evaluation of a video-based measure of driver heart rate. , 2015, Journal of safety research.

[55]  Wonil Hwang,et al.  Perceived Interior Space of Motor Vehicles based on Illusory Design Elements , 2015 .

[56]  Suihuai Yu,et al.  Multilevel Comprehensive Evaluation and Decision Making of Ergonomics , 2015 .

[57]  Andy P. Field,et al.  Discovering Statistics Using Ibm Spss Statistics , 2017 .

[58]  D. Casado-Mansilla,et al.  COPING WITH USER DIVERSITY : UX INFORMS THE DESIGN OF A DIGITAL INTERFACE THAT ENCOURAGES SUSTAINABLE BEHAVIOUR , 2017 .

[59]  Yanyan Wang,et al.  Ergonomics Evaluation of Large Screen Display in Cockpit Based on Eye-Tracking Technology , 2018 .

[60]  Eve Mitsopoulos-Rubens,et al.  The effects of using a portable music player on simulated driving performance and task-sharing strategies. , 2012, Applied ergonomics.

[61]  Magdalena Celadyn Environmental Activation of Inner Space Components in Sustainable Interior Design , 2018, Sustainability.