Improving automotive safety by pairing driver emotion and car voice emotion

Affective Computing

Picard, R. W. (1997) · MIT Press · doi:10.7551/mitpress/1140.001.0001 · Cited by 7,382

Handbook of personality theory and research

Wilson, G. (1991) · Personality and Individual Differences · doi:10.1016/0191-8869(91)90043-b · Cited by 3,562

Positive affect and decision making.

Isen, A. M. (1993) · Medical Entomology and Zoology · Cited by 1,135

Untitled work

(2005) · Cited by 505

Wired for Speech: How Voice Activates and Advances the Human-Computer Relationship

Callaway, C. B., & Sima’an, K. (2006) · Computational Linguistics · doi:10.1162/coli.2006.32.3.451 · Cited by 407

EMOTION IN HUMAN-COMPUTER INTERACTION

Brave, S., & Nass, C. (2007) · CRC Press eBooks · doi:10.1201/9781410615862-13 · Cited by 348

Emotion and emotion regulation.

Gross, J. J. (1999) · Cited by 242

A Bio-Informational Theory of Emotion: Motion and Image Size Effects on Viewers

Detenber, B. H., & Reeves, B. B. (1996) · Journal of Communication · doi:10.1111/j.1460-2466.1996.tb01489.x · Cited by 212

Handbook of human-computer interaction

(1990) · Information and Software Technology · doi:10.1016/0950-5849(90)90123-9 · Cited by 122

Road rage: a domain for psychological intervention?

Galovski, T. E., & Blanchard, E. B. (2003) · Aggression and Violent Behavior · doi:10.1016/s1359-1789(02)00118-0 · Cited by 103

Effects of Emotional Expressiveness on Voice Chatbot Interactions

Zhu, Q., Chau, A., Cohn, M., Liang, K.-H., Wang, H., Zellou, G., & Yu, Z. (2022) · ACM Conference on Conversational User Interfaces (CUI) · doi:10.1145/3543829.3543840 · Cited by 19

Voice User Interface: Literature review, challenges and future directions

Francis, R., Randriatsarafara, H. N., Hajalalaina, A. R., & Manda-Vy, R. N. (2021) · SYSTEM THEORY CONTROL AND COMPUTING JOURNAL · doi:10.52846/stccj.2021.1.2.26 · Cited by 24

Designing interfaces for multiple-goal environments: Experimental insights from in-vehicle speech interfaces

Truschin, S., Schermann, M., Goswami, S., & Krcmar, H. (2014) · TCHI · doi:10.1145/2544066 · Cited by 23

A Review on Measuring Affect with Practical Sensors to Monitor Driver Behavior

Welch, K. C., Harnett, C. K., & Lee, Y. (2019) · Safety · doi:10.3390/safety5040072 · Cited by 21

Guiding Preferred Driving Style Using Voice in Autonomous Vehicles: An On-Road Wizard-of-Oz Study

Kim, K., Park, M., & Lim, Y.-K. (2021) · Designing Interactive Systems Conference · doi:10.1145/3461778.3462056 · Cited by 19

The influence of emotion on keyboard typing: an experimental study using visual stimuli

Lee, P.-M., Tsui, W.-H., & Hsiao, T. (2014) · BioMedical Engineering OnLine · doi:10.1186/1475-925x-13-81 · Cited by 18

A place for every tool and every tool in its place: Performing collaborative tasks with interactive robotic drawers

Mok, B. K.-J., Yang, S., Sirkin, D. M., & Ju, W. G. (2015) · IEEE RO-MAN · doi:10.1109/roman.2015.7333680 · Cited by 18

Stoop to Conquer: Posture and Affect Interact to Influence Computer Users’ Persistence

Ahn, H.-I., Teeters, A., Wang, A., Breazeal, C., & Picard, R. W. (2007) · Lecture notes in computer science · doi:10.1007/978-3-540-74889-2_51 · Cited by 20

Towards Multimodal Emotion Recognition in German Speech Events in Cars using Transfer LearningPreprint

Cevher, D., Zepf, S., & Klinger, R. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1909.02764 · Cited by 18

The effect of anger on pedestrian avoidance in a simulated driving task

Zhang, Q., Qu, W., & Ge, Y. (2022) · Accident Analysis & Prevention · doi:10.1016/j.aap.2022.106664 · Cited by 17

Technology Name and Celebrity Endorsement Effects of Autonomous Vehicle Promotional Messages: Mechanisms and Moderators

Myrick, J. G., Ahern, L. A., Shao, R., & Conlin, J. (2018) · Science Communication · doi:10.1177/1075547018819194 · Cited by 17

Product appraisal dimensions impact emotional responses and visual acceptability of instrument panels

Herbeth, N., & Blumenthal, D. (2013) · Food Quality and Preference · doi:10.1016/j.foodqual.2013.02.003 · Cited by 17

Influences of Evaluation and Gaze from a Robot and Humans’ Fear of Negative Evaluation on Their Preferences of the Robot

Nomura, T., & Kanda, T. (2014) · International Journal of Social Robotics · doi:10.1007/s12369-014-0270-y · Cited by 17

Empathy

Mok, B. K.-J., Yang, S., Sirkin, D. M., & Ju, W. G. (2014) · ACM/IEEE International Conference on Human-Robot Interaction (HRI) · doi:10.1145/2559636.2563720 · Cited by 17

Motor Vehicle Driver Interfaces

Green, P. (2017) · Wiley eBooks · doi:10.1002/9781118976005.ch40 · Cited by 17

A Review of Virtual Assistants’ Characteristics: Recommendations for Designing an Optimal Human–Machine Cooperation

Gilles, M., & Bevacqua, E. (2021) · Journal of Computing and Information Science in Engineering · doi:10.1115/1.4053369 · Cited by 16

Multimodal Warnings Design for In-Vehicle Robots under Driving Safety Scenarios

Wang, J., Wang, C., Liu, Y., Yue, T., Wang, Y., & You, F. (2022) · Sensors · doi:10.3390/s23010156 · Cited by 14

Virtual Environment for Monitoring Emotional Behaviour in Driving

Frasson, C., Brosseau, P. O., & Tran, T. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-07221-0_10 · Cited by 14

Towards Real-Time Detection and Mitigation of Driver Frustration using SVM

Zepf, S., Stracke, T., Schmitt, A., van de Camp, F., & Beyerer, J. (2019) · International Conference on Machine Learning and Applications · doi:10.1109/icmla.2019.00039 · Cited by 15

Emotions in Driving

Jeon, M. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-801851-4.00017-3 · Cited by 13

Detecting Emotions in Conversations Between Driver and In-Car Information Systems

Jones, C. M., & Jonsson, I.-M. (2005) · Lecture notes in computer science · doi:10.1007/11573548_100 · Cited by 13

Artificial intelligence voice gender, gender role congruity, and trust in automated vehicles

Zhang, Q., Yang, X. J., & Robert, L. (2025) · Scientific Reports · doi:10.1038/s41598-025-00884-9 · Cited by 12

Identifying Personality Dimensions for Characters of Digital Agents

Braun, M., & Alt, F. (2020) · Human-computer interaction series · doi:10.1007/978-3-030-15954-2_8 · Cited by 12

DERNet: Driver Emotion Recognition Using Onboard Camera

Wang, D., Jia, S., Pei, X., Han, C., Yao, D., & Liu, D. (2023) · IEEE Intelligent Transportation Systems Magazine · doi:10.1109/mits.2023.3333882 · Cited by 12

Heterogeneous driver behavior state recognition using speech signal

Kamaruddin, N., & Wahab, A. (2011) · The International Islamic University Malaysia Repository (The International Islamic University Malaysia) · Cited by 12

Body Gestures and Spoken Sentences: A Novel Approach for Revealing User’s Emotions

Gentile, V., Milazzo, F., Sorce, S., Gentile, A., Augello, A., & Pilato, G. (2017) · IEEE International Conference on Semantic Computing (ICSC) · doi:10.1109/icsc.2017.14 · Cited by 12

Application of Speech Technology in Vehicles

Chen, F., Jonsson, I.-M., Villing, J., & Larsson, S. (2010) · Springer eBooks · doi:10.1007/978-0-387-73819-2_11 · Cited by 12

Analysis of Facial Expressions Explain Affective State and Trust-Based Decisions During Interaction with Autonomy

Neubauer, C. E., Gremillion, G. M., Perelman, B. S., Fleur, C. L., Metcalfe, J. S., & Schaefer, K. E. (2020) · Advances in intelligent systems and computing · doi:10.1007/978-3-030-39512-4_152 · Cited by 12

Social and Emotional Characteristics of Speech-based In-Vehicle Information Systems: Impact on Attitude and Driving Behaviour

Jonsson, I.-M. (2009) · DiVA (Linkoping University) · Cited by 12

Human-Centric explanations for users in automated Vehicles: A systematic review

Zhu, Z., Li, X., Delhomme, P., Schroeter, R., Glaser, S., & Rakotonirainy, A. (2025) · Accident Analysis & Prevention · doi:10.1016/j.aap.2025.108152 · Cited by 12

Will I start an automated driving system? Report on the emotions, cognition, and intention of drivers who experienced real-world conditional automated driving

Yu, Z., Jiang, K., Huang, Z., Zhang, P., & Feng, Z. (2022) · Cognition Technology & Work · doi:10.1007/s10111-022-00706-2 · Cited by 12

EmpathicGPS: Exploring the Role of Voice Tonality in Navigation Systems during Simulated Driving

Zepf, S., Elhaouij, N., Minker, W., Hernandez, J., & Picard, R. W. (2020) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3334480.3382935 · Cited by 11

Oppositional Human Factors in Cybersecurity: A Preliminary Analysis of Affective States

Ferguson-Walter, K. J., Gutzwiller, R. S., Scott, D. D., & Johnson, C. J. (2021) · IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW) · doi:10.1109/asew52652.2021.00040 · Cited by 11

I Drive My Car and My States Drive Me

Völkel, S. T., Graefe, J., Schoedel, R., Häuslschmid, R., Stachl, C., Au, Q., & Hußmann, H. (2018) · International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI) · doi:10.1145/3239092.3267102 · Cited by 11

Anthropomorphising driver-truck interaction: a study on the current state of research and the introduction of two innovative concepts

Fank, J., Richardson, N. T., & Diermeyer, F. (2019) · Journal on Multimodal User Interfaces · doi:10.1007/s12193-019-00296-w · Cited by 10

Participatory design process for an in-vehicle affect detection and regulation system for various drivers

Jeon, M., Roberts, J., Raman, P., Yim, J.-B., & Walker, B. N. (2011) · International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS) · doi:10.1145/2049536.2049602 · Cited by 11

Pairing in-vehicle intelligent agents with different levels of automation: implications from driver attitudes, cognition, and behaviors in automated vehicles

Wang, M., Lee, S. C., & Jeon, M. (2024) · Human-Computer Interaction · doi:10.1080/07370024.2024.2341217 · Cited by 10

Identification of Speech Characteristics to Distinguish Human Personality of Introversive and Extroversive Male Groups

Park, J., Lee, S., Brotherton, K., Um, D., & Park, J. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17062125 · Cited by 10

Fifty shades of frustration: Intra- and interindividual variances in expressing frustration

Bosch, E., Käthner, D., Jipp, M., Drewitz, U., & Ihme, K. A. (2023) · Transportation Research Part F Traffic Psychology and Behaviour · doi:10.1016/j.trf.2023.03.004 · Cited by 10

Don’t Look at Me, I’m Talking to You: Investigating Input and Output Modalities for In-Vehicle Systems

Christiansen, L. H., Frederiksen, N. Y., Jensen, B. S., Ranch, A., Skov, M. B., & Thiruravichandran, N. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-23771-3_49 · Cited by 10

Design Guidelines for Creating a Convincing User Experience with Virtual In-vehicle Assistants

Strohmann, T., Höper, L., & Robra-Bissantz, S. (2019) · Hawaii International Conference on System Sciences (HICSS) · doi:10.24251/hicss.2019.580 · Cited by 10

The Push vs Pull of Information between Autonomous Cars and Human Drivers

Mok, B. K.-J., & Ju, W. G. (2014) · International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI) · doi:10.1145/2667239.2667287 · Cited by 10

Navigation Voice Familiarity Can Affect Driving Stress and Emotions Under Complex Road Conditions: Evidence From An Experimental Study

Hao, P., Wang, M., Wang, J., & Zhu, Q. (2024) · IEEE Access · doi:10.1109/access.2024.3492207 · Cited by 10

Affect-Enhancing Speech Characteristics for Robotic Communication

Klüber, K., Schwaiger, K., & Onnasch, L. (2025) · International Journal of Social Robotics · doi:10.1007/s12369-025-01221-w · Cited by 11

Driving with a Speech Interaction System: Effect of Personality on Performance and Attitude of Driver

Jonsson, I.-M., & Dahlbäck, N. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-07230-2_40 · Cited by 9

Sorry, I’m Late; I’m Not in the Mood: Negative Emotions Lengthen Driving Time

Jeon, M., & Croschere, J. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-20373-7_22 · Cited by 9

Continuous tracking of the emotion temperature

Alonso, J. B., Cabrera, J., Travieso, C. M., de Ipiña, K. L., & Medina, S. (2017) · Neurocomputing · doi:10.1016/j.neucom.2016.06.093 · Cited by 9

Towards Integration of Cognitive Models in Dialogue Management: Designing the Virtual Negotiation Coach Application

Malchanau, A., Petukhova, V. V., & Bunt, H. (2019) · Dialogue & Discourse · doi:10.5087/dad.2018.202 · Cited by 9

EmpathicSDS

Zepf, S., Gupta, A., Krämer, J.-P., & Minker, W. (2020) · ACM Conference on Conversational User Interfaces (CUI) · doi:10.1145/3405755.3406125 · Cited by 9

Driver Emotions in Automated Vehicles

FakhrHosseini, S., Ko, S., Álvarez, I., & Jeon, M. (2021) · Studies in computational intelligence · doi:10.1007/978-3-030-77726-5_4 · Cited by 9

Speaker, Noise, and Acoustic Space Adaptation for Emotion Recognition in the Automotive Environment

Schuller, B. W. (2011) · OPUS (Augsburg University) · Cited by 9

Review of Overseas Studies on Subjective Well-being During Travel and Implications for Future Research in China

Zhu, J., & Fan, Y. (2018) · Urban Planning International · doi:10.22217/upi.2017.402 · Cited by 8

The Impact of Modality, Technology Suspicion, and NDRT Engagement on the Effectiveness of AV Explanations

Zhang, Q., Esterwood, C. T., Pradhan, A. K., Tilbury, D. M., Yang, X. J., & Robert, L. (2023) · IEEE Access · doi:10.1109/access.2023.3302261 · Cited by 8

The Potential of Subliminal Information Displays to Change Driver Behavior

Riener, A., Chalfoun, P., & Frasson, C. (2014) · PRESENCE Virtual and Augmented Reality · doi:10.1162/pres_a_00170 · Cited by 8

In-Vehicle Information System Used in Complex and Low Traffic Situations: Impact on Driving Performance and Attitude

Jonsson, I.-M., & Chen, F. (2007) · Lecture notes in computer science · doi:10.1007/978-3-540-73281-5_45 · Cited by 8

In-Car Information Systems: Matching and Mismatching Personality of Driver with Personality of Car Voice

Jonsson, I.-M., & Dahlbäck, N. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-39262-7_66 · Cited by 8

Empathic assistants – Methods and use cases in automated and non-automated driving

Pape, A.-A., Cornelsen, S., Fäßler, V., Ihme, K. A., Oehl, M., Drewitz, U., Hartwich, F., Schrödel, F., Lüdtke, A., & Schramm, M. (2020) · Proceedings · doi:10.1007/978-3-658-29943-9_34 · Cited by 8

Subliminal Perception or “Can We Perceive and Be Influenced by Stimuli That Do Not Reach Us on a Conscious Level?”

Riener, A. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-801851-4.00019-7 · Cited by 8

The impact of vehicle silhouettes on perceptions of car environmental friendliness and safety in 2009 and 2016: a comparative study

Bi, Y., Li, S., Wagner, D., & Reid, T. (2017) · Design Science · doi:10.1017/dsj.2017.22 · Cited by 8

Dialogue at the Edge of Fatigue: Personalized Voice Assistant Strategies in Intelligent Driving Systems

Zhou, C., Wang, L., & Yang, Y. (2025) · Applied Sciences · doi:10.3390/app15126792 · Cited by 7

More Is Not Always Better: Impacts of AI-Generated Confidence and Explanations in Human–Automation Interaction

Ling, S., Zhang, Y., & Du, N. (2024) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1177/00187208241234810 · Cited by 9

Investigating emotion fluctuations in driving behaviors of online car-hailing drivers using naturalistic driving data

Ma, Y., Xing, Y., Chen, S., & Wu, Y. (2024) · Travel Behaviour and Society · doi:10.1016/j.tbs.2024.100819 · Cited by 6

Social Cars

Schroeter, R., Soro, A., & Rakotonirainy, A. (2013) · Advances in human and social aspects of technology book series · doi:10.4018/978-1-4666-4695-7.ch008 · Cited by 7

Experiential perspectives on road congestions

Obrist, M., Wurhofer, D., Krischkowsky, A., Karapanos, E., Wilfinger, D., Perterer, N., & Tscheligi, M. (2013) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/2468356.2468451 · Cited by 7

Designing for Driver's Emotional Transitions and Rituals

Wu, J., Hesseldahl, K. D., Johnson, S., Clark, S., Quinlan, D., & Harrow, D. (2021) · International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI) · doi:10.1145/3409118.3475143 · Cited by 6

INFLUENCE OF EMOTIONAL INTELLIGENCE ON MARITAL SATISFACTION AMONG MARRIED COUPLES

Heidari, M., & Kumar, G. V. (2021) · INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH · doi:10.36106/ijsr/2934906 · Cited by 9

Driver’s Emotions Detection with Automotive Systems in Connected and Autonomous Vehicles (CAVs)

Meza-García, B., & Rodríguez-Ibáñez, N. (2021) · International Conference on Computer-Human Interaction Research and Applications (CHIRA) · doi:10.5220/0010741100003060 · Cited by 6

Cognitive Dialog Systems for Dynamic Environments: Progress and Challenges

Putze, F., & Schultz, T. (2011) · Springer eBooks · doi:10.1007/978-1-4419-9607-7_8 · Cited by 6

Tutorial on In-vehicle Auditory Interactions

Jeon, M., Hosseini, S. M., Landry, S., & Sterkenburg, J. (2016) · International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI) · doi:10.1145/3004323.3005685 · Cited by 6

A Cross-Cultural Study of Trust Building in Autonomous Vehicles

Du, N., Tilbury, D. M., Robert, L., Yang, X. J., & Pradhan, A. K. (2018) · Deep Blue (University of Michigan) · Cited by 6

“Should We Allow Him to Pass?” Increasing Cooperation Between Truck Drivers Using Anthropomorphism

Fank, J., Santen, L., Knies, C., & Diermeyer, F. (2019) · Advances in intelligent systems and computing · doi:10.1007/978-3-030-20503-4_43 · Cited by 6

Evaluation and context for in-car speech systems for older adults

Zajicek, M., & Jonsson, I.-M. (2005) · Latin American conference on Human-Computer Interaction · doi:10.1145/1111360.1111364 · Cited by 6

The Voice Experience Inventory (VOXI): Validating a consensus-driven instrument for measuring user impressions of computer voice

Seaborn, K., Altmeyer, M., Li, G., Ku, B., Kobuki, S., & Urakami, J. (2025) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2025.103576 · Cited by 7

Time-Dependent Body Gesture Representation for Video Emotion Recognition

Wei, J., Yang, X., & Dong, Y. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-67832-6_33 · Cited by 5

The Comparison of Different Sensory Outputs on the Driving Overtake Alarm System

Huang, Y.-C., Tsai, C.-J., Kuo, J.-Y., & Wu, F. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-21666-4_32 · Cited by 5

A Driving Simulator Study of Young Driver’s Behavior under Angry Emotion

Hu, H., Zhou, X., Zhu, Z., Wang, Q., & Xiao, H. (2019) · SAE technical papers on CD-ROM/SAE technical paper series · doi:10.4271/2019-01-0398 · Cited by 5

Emotional State Recognition with Micro-expressions and Pulse Rate Variability

Belaiche, R., Sabour, R. M., Migniot, C., Benezeth, Y., Dominique Ginhac, B., Nakamura, K., Gómez, R., & Yang, F. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-30642-7_3 · Cited by 5

DriveSense: A Multi-modal Emotion Recognition and Regulation System for a Car Driver

Zhu, L., Zhong, Z., Dai, W., Chen, Y., Zhang, Y., & Chen, M. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-60477-5_7 · Cited by 4

Prosodic Facilitation and Interference While Judging on the Veracity of Synthesized Statements

Gálvez, R. H., Stefan Benus, A., Gravano, A., & Trnka, M. (2017) · Interspeech (USB) · doi:10.21437/interspeech.2017-453 · Cited by 4

Nudges-Based Design Method for Adaptive HMI to Improve Driving Safety

Generosi, A., Ceccacci, S., Tezçi, B., Montanari, R., & Mengoni, M. (2022) · Safety · doi:10.3390/safety8030063 · Cited by 4

Hi,KIA: A Speech Emotion Recognition Dataset for Wake-Up Words

Kim, T., Doh, S., Lee, G., Jeon, H., Nam, J., & Suk, H. (2022) · Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) · doi:10.23919/apsipaasc55919.2022.9980227 · Cited by 4

A complex relationship: Older people and in-car message systems

Zajíček, M., & Jonsson, I.-M. (2007) · Gerontechnology · doi:10.4017/gt.2007.06.02.002.00 · Cited by 4

Car Storytelling and Interaction Design

KARANIAN, B. A., Suria, A. J., & Summers, J. (2015) · ASEE Annual Conference & Exposition · doi:10.18260/p.23665 · Cited by 4

Crying Jaywalker! Notifying Take-Over-Requests and Critical Events in Operational Driving Domain of Autonomous Vehicles via Multimodal Interfaces

Pratticò, F. G., Valente, L., & Lamberti, F. (2025) · ACM International Conference on Intelligent User Interfaces (IUI) · doi:10.1145/3708359.3712126 · Cited by 3

Potential of explanations in enhancing trust – What can we learn from autonomous vehicles to foster the development of trustworthy autonomous vessels?

Ranjan, R., Kulkarni, K., & Musharraf, M. (2025) · Ocean Engineering · doi:10.1016/j.oceaneng.2025.120753 · Cited by 3

“You're a Cop and You Gotta Help Me!”:How the Type of Automated Vehicles and Collision Algorithms Influence Individuals’ Attitudes Towards the Vehicles

Joo, Y. K., Jeong, M.-W., & Kim, B. (2022) · Transportation Research Part F Traffic Psychology and Behaviour · doi:10.1016/j.trf.2023.01.012 · Cited by 3

Finding the Right Voice: Exploring the Impact of Gender Similarity and Gender-Role Congruity on the Efficacy of Automated Vehicle Explanations

Zhang, Q., Yang, X. J., & Robert, L. (2024) · Proceedings of the AAAI Symposium Series · doi:10.1609/aaaiss.v2i1.27675 · Cited by 4

A Proposal for an Affective Design and User-Friendly Voice Agent

Park, H., Lee, J., Bae, S., Park, D.-H., & Lee, Y. (2018) · Advances in intelligent systems and computing · doi:10.1007/978-3-030-02053-8_38 · Cited by 3

A Driver Model Based on Emotion

Xiao, Q., Hu, C., & Ding, G. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-61833-3_64 · Cited by 3

A Study on a Spoken Dialogue System with Cooperative Emotional Speech Synthesis Using Acoustic and Linguistic Information

Yamanaka, M., Chiba, Y., Nose, T., & Ito, A. (2018) · Smart innovation, systems and technologies · doi:10.1007/978-3-030-03748-2_12 · Cited by 3

Towards Improving Speech Emotion Recognition for In-Vehicle Agents

Li, Y. (2018) · International Conference on Human-Agent Interaction (HAI) · doi:10.1145/3284432.3287188 · Cited by 3

Emotion and Emotion Regulation Considerations for Speech-Based In-Vehicle Interfaces

Harris, H. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-39262-7_64 · Cited by 3

Impact of voice variation in speech-based in-vehicle systems on attitude and driving behaviour

Jonsson, I.-M., & Dahlbaeck, N. (2010) · Cited by 3

Analysis and prediction of emotions using human-robot and driver-vehicle interactions

Gandomi (2018) · doi:10.17760/d20292404 · Cited by 3

Cross-Layer System Design for Autonomous Driving

Lin, S.-C. (2019) · Deep Blue (University of Michigan) · Cited by 3

Pilot study on virtual assistant design for new generation aircraft cockpit

Gilles, M., Bach, C., Quentel, M., Pallamin, N., Jégou, G., Querrec, R., & Bevacqua, E. (2025) · Behaviour and Information Technology · doi:10.1080/0144929x.2025.2507691 · Cited by 3

How Can Chatbots Comfort Humans? Exploring the Effects of Emoji and Identity Cues in Emotional Support

Liu, Y., Song, C., Huang, D., Liu, X., Li, Z., & Hu, B. (2025) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2025.2598675 · Cited by 2

Speech Interfaces and Pilot Performance: A Meta-Analysis

Ward, K. A. (2019) · International Journal of Aviation Aeronautics and Aerospace · doi:10.15394/ijaaa.2019.1305 · Cited by 2

The Effect of Driver Anger on Physiological Signals and a Comparison of Anger Induction Methods

Choi, B., Kim, D.-H., & Yang, J. H. (2024) · Transactions of Korean Society of Automotive Engineers · doi:10.7467/ksae.2024.32.11.899 · Cited by 2

Bring Your Own Interface: Exploring Tactile Interaction in Maritime Automation

Goedicke, D., Li, S., Degraen, D., John, K., Sugiura, Y., Min, T., Kim, H., Kwak, S. S., Savage, V., Igoe, T., et al. (2025) · Designing Interactive Systems Conference · doi:10.1145/3715668.3734183 · Cited by 2

Matching In-Car Voice with Driver State : Impact on Attitude and Driving Performance

Johnsson, I.-M., Nass, C., Harris, H., & Takayama, L. A. (2005) · International Driving Symposium on Human Factors in Driver Assessment, Training and Vehicle Design (Driving Assessment Conference) · doi:10.17077/drivingassessment.1158 · Cited by 37

Future automobile driving space voice interaction: adapt to the driving scenarios and user personalities

Zhang, W., & Jiaxin, C. (2023) · AHFE international · doi:10.54941/ahfe1003420 · Cited by 3

Automatically recognising and responding to affective cues in the speech of car drivers

Jones, C. M., & Jonsson, I.-M. (2005) · USC Research Bank (University of the Sunshine Coast)

Improving Driver Emotions with Affective Strategies

Braun, M., Schubert, J., Pfleging, B., & Alt, F. (2019) · Multimodal Technologies and Interaction · doi:10.3390/mti3010021 · Cited by 101

Impact of voice variation in speech-based in-vehicle systems on attitude and driving behaviour

Jonsson, I.-M., & Dahlbaeck, N. (2010) · Cited by 3