Rasoulivalajoozi, Mohsen
ORCID: https://orcid.org/0000-0002-1991-4174
(2025)
Pedestrians’ social empathy and interaction with wheelchair users: The impact of user gestures and mobility aid design in a pilot study.
International Journal of Industrial Ergonomics, 109
.
pp. 1-13.
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Official URL: https://doi.org/10.1016/j.ergon.2025.103793
Abstract
Wheelchair users (WUs) experience various accessibility challenges in public spaces, which may lead them to seek assistance from pedestrians in difficult situations. In this context, understanding the factors influencing pedestrians' empathy and interaction with WUs facilitates their social interactions in challenging urban situations. This study examines how WUs’ body gestures and wheelchair design characteristics (WDCs) impact pedestrian perception and interaction. A pilot cross-sectional study was conducted with 52 participants in two phases: (1) a questionnaire assessing willingness to engage with WUs exhibiting independent or help-seeking gestures, and (2) evaluating four wheelchair types—from conventional to advanced—using key semantic descriptors of appearance and social perception. Findings revealed no significant relationship between age, gender, and willingness to interact across the two gesture conditions (p > 0.05), except for a significant association between age and willingness to interact with users of advanced powered wheelchairs in the help-seeking gesture condition (p = 0.027). Also, pedestrians' willingness to interact was significantly higher when WUs exhibited help-seeking gestures compared to independence gestures (p < 0.001). WDCs influenced pedestrian perceptions more strongly when WUs displayed independence (86.3 %) than help-seeking gestures (50 %). Moreover, analysis of semantic evaluations revealed distinct perceptual dimensions for advanced manual and powered wheelchairs, with three principal components identified for each, offering valuable insights for developing wheelchairs with greater social polish. This study highlights that both WDC and user gestures significantly affect pedestrian interaction, with the masking effect of help gestures on WDCs being a key finding. Additionally, advanced WDCs signify WUs' independence, helping reduce negative social stereotypes among pedestrians.
| Divisions: | Concordia University > School of Graduate Studies > Individualized Program |
|---|---|
| Item Type: | Article |
| Refereed: | Yes |
| Authors: | Rasoulivalajoozi, Mohsen |
| Contributors: | Rasoulivalajoozi, Mohsen (Author) |
| Journal or Publication: | International Journal of Industrial Ergonomics |
| Date: | 3 August 2025 |
| Digital Object Identifier (DOI): | 10.1016/j.ergon.2025.103793 |
| Keywords: | Wheelchair design; Pedestrian behavior; Social interactions; Social empathy; Interaction design. |
| ID Code: | 995857 |
| Deposited By: | Mohsen Rasoulivalajoozi |
| Deposited On: | 13 Aug 2025 14:31 |
| Last Modified: | 13 Aug 2025 14:31 |
References:
Asana. (2024, February 26). Affinity Diagram: How to Organize Information [Education source]. Asana. https://asana.com/resources/affinity-diagramAsha, A. Z., Smith, C., Freeman, G., Crump, S., Somanath, S., Oehlberg, L., & Sharlin, E. (2021). Co-Designing Interactions between Pedestrians in Wheelchairs and Autonomous Vehicles. Proceedings of the 2021 ACM Designing Interactive Systems Conference, 339–351. https://doi.org/10.1145/3461778.3462068
Baig, F., Zhang, D., Lee, J., & Xu, H. (2022). Shaping inclusiveness of a transportation system: Factors affecting seat-yielding behavior of university students in public transportation. Transportation Research Part A: Policy and Practice, 155, 79–94. https://doi.org/10.1016/j.tra.2021.11.004
Bartholomew, D. J. (2010). Principal Components Analysis. In P. Peterson, E. Baker, & B. McGaw (Eds.), International Encyclopedia of Education (Third Edition) (pp. 374–377). Elsevier. https://doi.org/10.1016/B978-0-08-044894-7.01358-0
Bartlett, M. S. (1951). The Effect of Standardization on A Χ2 Approximation in Factor Analysis. Biometrika, 38(3–4), 337–344. https://doi.org/10.1093/biomet/38.3-4.337
Bertelsen, O. W., & Pold, S. (2004). Criticism as an approach to interface aesthetics. Proceedings of the Third Nordic Conference on Human-Computer Interaction, 23–32. https://doi.org/10.1145/1028014.1028018
Bilius, L.-B., Ungurean, O.-C., & Vatavu, R.-D. (2023). Understanding Wheelchair Users’ Preferences for On-Body, In-Air, and On-Wheelchair Gestures. Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 1–16. https://doi.org/10.1145/3544548.3580929
Bitman, N. (2022). “Authentic” digital inclusion? Dis/ability performances on social media by users with concealable communicative disabilities. New Media & Society, 24(2), 401–419. https://doi.org/10.1177/14614448211063183
Blach Rossen, C., Sørensen, B., Würtz Jochumsen, B., & Wind, G. (2012). Everyday life for users of electric wheelchairs – a qualitative interview study. Disability and Rehabilitation: Assistive Technology, 7(5), 399–407. https://doi.org/10.3109/17483107.2012.665976
Brace, N., Kemp, R., & Snelgar, R. (2007). SPSS for Psychologists: A Guide to Data Analysis Using Spss for Windows (3rd edition). Palgrave Macmillan.
Carneiro, L., Rebelo, F., & Noriega, P. (2018). Different Wheelchairs Designs Influence Emotional Reactions from Users and Non-users? In F. Rebelo, M. M. Soares, F. Rebelo, & M. M. Soares (Eds.), Advances in Ergonomics in Design (pp. 572–580). https://doi.org/10.1007/978-3-319-94706-8_60
Chi-Squared Goodness of Fit Tests with Applications. (2013). https://shop.elsevier.com/books/chi-squared-goodness-of-fit-tests-with-applications/balakrishnan/978-0-12-397194-4
Costa, D., & Duarte, C. (2019). Factors that Impact the Acceptability of On-Body Interaction by Users with Visual Impairments. In D. Lamas, F. Loizides, L. Nacke, H. Petrie, M. Winckler, & P. Zaphiris (Eds.), Human-Computer Interaction – INTERACT 2019 (pp. 267–287). Springer International Publishing. https://doi.org/10.1007/978-3-030-29381-9_17
Costa, P., Figueredo, F. M. da S. and C., & Portugal. (2012). Function versus emotion in a wheelchair design. In Advances in Usability Evaluation Part II. CRC Press.
Coyne, R. (2001). Coyne, R: Technoromanticism: Digital Narrative, Holism, and the Romance of the Real. MIT Press Ltd.
Craven, J. (2019, Agust). “Form Follows Function” Is the Most Famous Phrase in Architecture. ThoughtCo. https://www.thoughtco.com/form-follows-function-177237
Cucuzzella, C., Rasoulivalajoozi, M., & Farzamfar, G. (2024). Spatial experience of cancer inpatients in the oncology wards: A qualitative study in visual design aspects. European Journal of Oncology Nursing, 70, 102552. https://doi.org/10.1016/j.ejon.2024.102552
Davies, G. M. (2009). Estimating the speed of vehicles: The influence of stereotypes. Psychology, Crime & Law, 15(4), 293–312. https://doi.org/10.1080/10683160802203971
Davies, G. M., & Patel, D. (2005). The influence of car and driver stereotypes on attributions of vehicle speed, position on the road and culpability in a road accident scenario. Legal and Criminological Psychology, 10(1), 45–62. https://doi.org/10.1348/135532504X15394
Davis, M. L., Witcraft, S. M., Baird, S. O., & Smits, J. A. J. (2017). Chapter 3—Learning Principles in CBT. In S. G. Hofmann & G. J. G. Asmundson (Eds.), The Science of Cognitive Behavioral Therapy (pp. 51–76). Academic Press. https://doi.org/10.1016/B978-0-12-803457-6.00003-9
Desmet, P., & Dijkhuis, E. (2003). A wheelchair can be fun: A case of emotion-driven design. Proceedings of the 2003 International Conference on Designing Pleasurable Products and Interfaces, 22–27. https://doi.org/10.1145/782896.782903
Dey, D., Habibovic, A., Pfleging, B., Martens, M., & Terken, J. (2020). Color and Animation Preferences for a Light Band eHMI in Interactions Between Automated Vehicles and Pedestrians. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, 1–13. https://doi.org/10.1145/3313831.3376325
Dey, D., Martens, M., Eggen, B., & Terken, J. (2017). The Impact of Vehicle Appearance and Vehicle Behavior on Pedestrian Interaction with Autonomous Vehicles. Proceedings of the 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications Adjunct, 158–162. https://doi.org/10.1145/3131726.3131750
Dey, D., & Terken, J. (2017). Pedestrian Interaction with Vehicles: Roles of Explicit and Implicit Communication. Proceedings of the 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 109–113. https://doi.org/10.1145/3122986.3123009
Drive Medical. (2024). Cirrus Plus EC Folding Power Wheelchair, 18 Seat [Shopping website]. Align Home Health Care. https://alignhomehealthcare.ca/product/cirrus-plus-ec-folding-power-wheelchair-18-seat/
Dzogbewu, T. C., Whitehead, T., de Beer, D. J., & Torrens, G. (2025). Adoption and Use of Customized Wheelchairs Manufactured for Persons Living with Disability: Modified UTUAT-2 Perspective. Designs, 9(1), Article 1. https://doi.org/10.3390/designs9010003
Ebrahimi, A., Kazemi, A., & Ebrahimi, A. (2016). Review Paper: Wheelchair Design and Its Influence on Physical Activity and Quality of Life Among Disabled Individuals. Iranian Rehabilitation Journal, 14(2), 85–92. https://doi.org/10.18869/nrip.irj.14.2.85
Faraji, A., & Valajoozi, M. R. (2014). Interactive Foot Orthosis (IFO) for People with Drop Foot. Intelligent Materials and Mechatronics. Applied Mechanics and Materials; Trans Tech Publications Ltd. https://doi.org/10.4028/www.scientific.net/AMM.464.129
Gan, Y., Ji, Y., Jiang, S., Liu, X., Feng, Z., Li, Y., & Liu, Y. (2021). Integrating aesthetic and emotional preferences in social robot design: An affective design approach with Kansei Engineering and Deep Convolutional Generative Adversarial Network. International Journal of Industrial Ergonomics, 83, 103128. https://doi.org/10.1016/j.ergon.2021.103128
Gignac, G. E., & Szodorai, E. T. (2016). Effect size guidelines for individual differences researchers. Personality and Individual Differences, 102, 74–78. https://doi.org/10.1016/j.paid.2016.06.069
Guariglia, P., Palmiero, M., Giannini, A. M., & Piccardi, L. (2023). The Key Role of Empathy in the Relationship between Age and Social Support. Healthcare, 11(17), Article 17. https://doi.org/10.3390/healthcare11172464
Ham, J., van Esch, M., Limpens, Y., de Pee, J., Cabibihan, J.-J., & Ge, S. S. (2012). The Automaticity of Social Behavior towards Robots: The Influence of Cognitive Load on Interpersonal Distance to Approachable versus Less Approachable Robots. In S. S. Ge, O. Khatib, J.-J. Cabibihan, R. Simmons, & M.-A. Williams (Eds.), Social Robotics (pp. 15–25). Springer. https://doi.org/10.1007/978-3-642-34103-8_2
Holländer, K., Colley, M., Rukzio, E., & Butz, A. (2021). A Taxonomy of Vulnerable Road Users for HCI Based On A Systematic Literature Review. Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, 1–13. https://doi.org/10.1145/3411764.3445480
Islam, G. (2014). Social Identity Theory. In T. Teo (Ed.), Encyclopedia of Critical Psychology (pp. 1781–1783). Springer. https://doi.org/10.1007/978-1-4614-5583-7_289
Jiotsa, B., Naccache, B., Duval, M., Rocher, B., & Grall-Bronnec, M. (2021). Social Media Use and Body Image Disorders: Association between Frequency of Comparing One’s Own Physical Appearance to That of People Being Followed on Social Media and Body Dissatisfaction and Drive for Thinness. International Journal of Environmental Research and Public Health, 18(6), 2880. https://doi.org/10.3390/ijerph18062880
Kim, J., Park, G.-R., & Namkung, E. H. (2024). The link between disability and social participation revisited: Heterogeneity by type of social participation and by socioeconomic status. Disability and Health Journal, 17(2), 101543. https://doi.org/10.1016/j.dhjo.2023.101543
Krippendorff, K., & Butter, R. (1984). Product semantics-exploring the symbolic qualities of form. Departmental Papers (ASC), 40.
Lidwell, W., Holden, K., & Butler, J. (2010). Universal Principles of Design, Revised and Updated: 125 Ways to Enhance Usability, Influence Perception, Increase Appeal, Make Better Design Decisions, and Teach Through Design.
McNulty-Kowal, S. (2020, October 9). This gear-adjustable manual wheelchair’s upgrade helps wheel you uphill with ease—Yanko Design [Online magazine]. https://www.yankodesign.com/2020/10/09/this-gear-adjustable-manual-wheelchairs-upgrade-helps-you-wheel-you-uphill-with-ease/
Medline. (2024). Medline Excel 2000 Series Wheelchairs [Company]. https://www.medline.com/product/Medline-Excel-2000-Series-Wheelchairs/Z05-PF05425?question=wheelchair&
Mokdad, M., Mebarki, B., Bouabdellah, L., & Mokdad, I. (2018). Emotional Responses of the Disabled Towards Wheelchairs. In W. Chung & C. S. Shin (Eds.), Advances in Affective and Pleasurable Design (pp. 86–96). Springer International Publishing. https://doi.org/10.1007/978-3-319-60495-4_10
Nagashima, T. (2012). Introduction to Kansei Engineering. In K. Saeed & T. Nagashima (Eds.), Biometrics and Kansei Engineering (pp. 173–176). Springer. https://doi.org/10.1007/978-1-4614-5608-7_9
Rasouli Valajoozi, M., & Zangi, N. O. (2016). A review on visual criteria of pure milk packaging for parents and their children (case study: Tehran, Iran). British Food Journal, 118(1), 83–99. https://doi.org/10.1108/BFJ-12-2014-0425
Rasoulivalajoozi, M., Cucuzzella, C., & Farhoudi, M. (2025a). Domains of wheelchair users’ socio-emotional experiences: Design insights from a scoping review. Disability and Health Journal, 101829. https://doi.org/10.1016/j.dhjo.2025.101829
Rasoulivalajoozi, M., Cucuzzella, C., & Farhoudi, M. (2025b). Perceived Inclusivity in Mobility Aids Use: A Qualitative Study in Iran. Disabilities, 5(1), Article 1. https://doi.org/10.3390/disabilities5010015
Rasoulivalajoozi, M., Cucuzzella, C., & Farhoudi, M. (2025c). The dynamics of affective experiences with wheelchair use during rehabilitation: A qualitative study through physiotherapists’ perspectives. Acta Psychologica, 256, 105022. https://doi.org/10.1016/j.actpsy.2025.105022
Rasoulivalajoozi, M., & Farhoudi, M. (2025a). Advancing eHMI for powered wheelchairs beyond safety and communication: A pilot study on enriching social interaction through a co-design approach. Transportation Research Part F: Traffic Psychology and Behaviour, 114, 200–215. https://doi.org/10.1016/j.trf.2025.05.036
Rasoulivalajoozi, M., & Farhoudi, M. (2025b). Integrating user perceptions of socio-emotional aspects in wheelchair design: A pilot study using Kansei Engineering. Journal of Transport & Health, 42, 102002. https://doi.org/10.1016/j.jth.2025.102002
SCEWO. (2024). Stair Climbing Wheelchair | Scewo BRO [Company]. https://www.scewo.com/en/, https://www.scewo.com/en/
Sharma, N., Pratap Yadav, V., & Sharma, A. (2021). Attitudes and empathy of youth towards physically disabled persons. Heliyon, 7(8), e07852. https://doi.org/10.1016/j.heliyon.2021.e07852
Shi, A., Huo, F., & Hou, G. (2021). Effects of Design Aesthetics on the Perceived Value of a Product. Frontiers in Psychology, 12. https://doi.org/10.3389/fpsyg.2021.670800
Sokolowski, S., Ende, E., & Fretz, M. (2021). Manual Wheelchair Design to Improve User Safety, Comfort and Aesthetics for the Aging Population (pp. 491–497). https://doi.org/10.1007/978-3-030-80829-7_61
Weiner, B. (1986). Attribution, emotion, and action. In Handbook of motivation and cognition: Foundations of social behavior (pp. 281–312). Guilford Press.
WHILL. (2024). WHILL Model C2 Wheelchair: Portable Electric Power Chair | WHILL [Company]. https://whill.inc/us/whill-model-c2/
Zhang, B., Wang, Z., & Li, Z. (2024). Mobility Aid Design for the Elderly (MADE): A design thinking approach using a smart walker as a case study. Humanities and Social Sciences Communications, 11(1), 1–16. https://doi.org/10.1057/s41599-024-04007-z
Zhang, X., Song, Z., Huang, Q., Pan, Z., Li, W., Gong, R., & Zhao, B. (2024). Shared eHMI: Bridging Human–Machine Understanding in Autonomous Wheelchair Navigation. Applied Sciences, 14(1), Article 1. https://doi.org/10.3390/app14010463
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