Affective Design Paradigm of Intelligent Cockpits Driven by Contextual Co-creation Cognition

QIN Zhen, XU Wangni

Packaging Engineering ›› 2026, Vol. 47 ›› Issue (12) : 70-82.

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Packaging Engineering ›› 2026, Vol. 47 ›› Issue (12) : 70-82. DOI: 10.19554/j.cnki.1001-3563.2026.12.006
Special Subject: Innovation of Intelligent Manufacturing Systems for High-end Vehicle Equipment

Affective Design Paradigm of Intelligent Cockpits Driven by Contextual Co-creation Cognition

  • QIN Zhen*, XU Wangni
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Abstract

The work aims to explore the evolutionary path of intelligent cockpits from single-driver affection-responsive terminals to multi-user cross-contextual partners that co-construct long-term meaning, and propose a paradigm shift from affective computing to contextual co-creation cognition, to address the limitations of the affective computing paradigm in multi-role collaborative responses and the evolution of long-term human-machine relationships. The intelligent cockpit was treated as a holistic contextual network to address the complex contextual demands of multi-occupant, cross-context, and long-term evolution scenarios. The affective design process, simulation testing, and heuristic walkthroughs driven by contextual co-creation cognition were put into practice. This paradigm could effectively enhance contextual cognitive coordination in multi-role interactions, and strengthen dynamic collaboration and deep affective reciprocity among multiple users within the context. The affective design paradigm driven by contextual co-creation cognition provides systematic theoretical support and an actionable methodology for the deep co-creation of human-machine relationships in future intelligent cockpits.

Key words

intelligent cockpit / affective design / contextual co-creation cognition / multi-role collaboration / human-machine interaction

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QIN Zhen, XU Wangni. Affective Design Paradigm of Intelligent Cockpits Driven by Contextual Co-creation Cognition[J]. Packaging Engineering. 2026, 47(12): 70-82 https://doi.org/10.19554/j.cnki.1001-3563.2026.12.006

References

[1] GAO F, GE X, LI J, et al.Intelligent Cockpits for Connected Vehicles: Taxonomy, Architecture, Interaction Technologies, and Future Directions[J]. Sensors, 2024, 24(16): 5172.
[2] SUN L, FANG X, YANG H, et al.Visualizing thematic evolution in intelligent cockpit emotion perception: A Bibliometric analysis with CiteSpace and VOSviewer[J]. Networks and Heterogeneous Media, 2025, 20(2): 428-459.
[3] 蔡萌亚, 王文丽. 汽车智能座舱交互设计研究综述[J]. 包装工程, 2023, 44(6): 430-440.
CAI M Y, WANG W L.Review of Interaction Design in Automotive Intelligent Cockpit[J]. Packaging Engineering, 2023, 44(6): 430-440.
[4] KRAUS J, SCHOLZ D, STIEGEMEIER D, et al.The more you know: trust dynamics and calibration in highly automated driving and the effects of take-overs, system malfunction, and system transparency[J]. Human Factors, 2020, 62(5): 718-736.
[5] BARRETT L F, BATJA M, MARIA G.Context in emotion perception[J]. Current Directions in Psychological Science, 2011, 20(5): 286-290.
[6] AVETISYAN L, YANG X J,ZHOU F.Towards Context- Aware Modeling of Situation Awareness in Conditionally Automated Driving[J]. International Journal of Human- Computer Interaction, 2026, 42(1): 291-306.
[7] PICARD R W.Affective computing[M]. Cambridge: MIT Press, 1997.
[8] EYBEN F, WÖLLMER M, POITSCHKE T, et al. Emotion on the Road: Necessity, Acceptance and Feasibility of Affective Computing in the Car[J]. Advances in Human-computer Interaction, 2010, 10: 1-17.
[9] FRAUENBERGER C.Entanglement HCI The Next Wave?[J]. ACM Transactions on Computer-Human Interaction (TOCHI), 2019, 27(1): 1-14.
[10] MEHRABIAN. A Pleasure-arousal-dominance:A General Framework for Describing and Measuring Individual Differences in Temperament[J].Current Psychology, 1996, 14: 261-292.
[11] 鲁艺, 付佳怡, 王梦瑶. 情感反馈融合3D HMI的智能座舱交互设计研究[J]. 装饰, 2025, (10): 127-129.
LU Y, FU J Y, WANG M Y.Research on Intelligent Cockpit Interaction Design with Emotional Feedback Fusion 3D HMI[J]. Art & Design, 2025, (10): 127-129.
[12] QUAN J, MIYAKE Y, NOZAWA T.Incorporating Interpersonal Synchronization Features for Automatic Emotion Recognition from Visual and Audio Data during Communication[J]. Sensors 2021, 21(16): 5317
[13] HASSON U, et al.Brain-to-Brain Coupling: A Mechanism for Creating and Sharing a Social World[J].Trends in Cognitive Sciences, 2012.
[14] YU C, SMITH L B.Joint Attention without Gaze Following: Human Infants and Their Parents Coordinate Visual Attention to Objects through Eye-Hand Coordination[J]. PLoS ONE, 2013, 8(11): e79659.
[15] HE B, YU N, WANG Z, CHEN X.STA-Net: A Spatial- Temporal Joint Attention Network for Driver Maneuver Recognition, Based on In-Cabin and Driving Scene Monitoring[J]. Applied Sciences, 2024, 14(6): 2460.
[16] HUTCHINS E.How a Cockpit Remembers Its Speeds[J]. Cognitive Science, 1995, 19(3): 265-288.
[17] PLEBE A, PAPINI G P R, CHERUBINI A, et al. Distributed Cognition for Collaboration between Human Drivers and Self-Driving Cars[J]. Frontiers in Artificial Intelligence, 2022, 5: 910801.
[18] BANKS V A, STANTON N A, BURNETT G, et al.Distributed Cognition on the Road: Using EAST to Explore Future Road Transportation Systems[J]. Applied Ergonomics, 2018, 68: 258-266.
[19] HE B.The PCOF Model: A Cognitive Framework for Designing Physical Switch Interactions in Smart Vehicle Cockpits[J]. IEEE Access, 2026, 14: 39439-39450.
[20] LI W B, ZENG G Z, ZHANG J C, et al.Cogemonet: A cognitive-feature-augmented driver emotion recognition model for smart cockpit[J]. IEEE Transactions on Computational Social Systems, 2022, 9(3): 667-678.
[21] SATIR V.The Satir Model: Family Therapy and Beyond[M].Palo Alto:Science and Behavior Books, 1991.
[22] RYAN R M, DECI E L.Self-Determination Theory and the Facilitation of Intrinsic Motivation, Social Development, and Well-Being[J]. American Psychologist, 2000, 55(1): 68-78.
[23] RUSSELL J A.A Circumplex Model of Affect[J]. Journal of Personality and Social Psychology, 1980, 39(6): 1161-1178.
[24] 谭征宇, 张瑞佛, 金奕. 全身交互视域下的智能座舱体验需求洞察[J]. 装饰, 2023(8): 18-24.
TAN Z Y, ZHANG R F, JIN Y.The Requirements Insight of Experience in Intelligent Cockpit from a Whole Body Interaction Perspective[J]. Art & Design, 2023(8): 18-24.
[25] 张双烨, 董占勋, 李亚鸿, 等. 面向智能座舱的情感计算框架及其交互设计研究[J]. 包装工程, 2024, 45(12): 49-55.
ZHANG S Y, DONG Z X, LI Y H, et al.Affective Computing Framework and Interaction Design for Intelligent Cockpit[J]. Packaging Engineering, 2024, 45(12): 49-55.
[26] GOLDENBERG A, GARCIA D, HALPERIN E, et al.Collective Emotions[J]. Current Directions in Psychological Science, 2020, 29(2): 154-160.
[27] KIM H, KIM S, KIM H, et al.Modulation of Driver's Emotional States by Manipulating In-Vehicle Environment: Validation with Biosignals Recorded in an Actual Car Environment[J]. IEEE Transactions on Affective Computing, 2022, 13(4): 1783-1792.
[28] LI W, ZHANG B, WANG P, et al.Visual-Attribute- Based Emotion Regulation of Angry Driving Behaviors[J]. IEEE Intelligent Transportation Systems Magazine, 2022, 14(3): 10-28.
[29] CHEN Z, LIU Q, LI B, et al.Efficacy of Fragrance Types and Intervention Methods in Reducing Driver Fatigue and Modulating Emotional Development Assessed by HRV and Subjective Indicators[J]. Sensors, 2025, 25(20): 6450.
[30] KIM T, LEE G, PARK M, et al.User Responses to Dynamic Light in Automobiles with EEG and Self-Assessments[J]. IEEE Access, 2022, 10: 123847-123857.
[31] WANG X, XU B G, WANG J J, et al.Haptic Vibrations in Emotion Induction and Regulation: Insights From Subjective Ratings and EEG Signals[J]. IEEE Transactions on Instrumentation and Measurement, 2025, 74: 1-13.
[32] LI W B, WU L, WANG C, et al.Intelligent Cockpit for Intelligent Vehicle in Metaverse: A Case Study of Empathetic Auditory Regulation of Human Emotion[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023, 53(4): 2173-2187.
[33] LU J, LI Y. Dynamic affective memory management for personalized LLM agents[EB/OL]. (2025-10-31) [2026- 01-07]. arXiv. https://arxiv.org/abs/2510.27418
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