Coral Morph: An Artistic Shape-Changing Textile Installation for Mindful Emotion Regulation in the Wild

References

• Aldouby, H. (Ed.). (2020). Shifting interfaces: An anthology of presence, empathy, and agency in 21st-century media arts. Leuven University Press.
   Google Scholar
• Arnold, T., & Scheutz, M. (2017). The tactile ethics of soft robotics: Designing wisely for human–robot interaction. Soft Robotics, 4(2), 81–87. https://doi.org/10.1089/soro.2017.0032
   PubMed Web of Science ®Google Scholar
• Barchard, K. A., Lapping-Carr, L., Westfall, R. S., Banisetty, S. B., & Feil-Seifer, D. (2018). Perceived social intelligence (PSI) scales test manual. Unpublished Psychological test and test manual. Observer report of 20 aspects of social intelligence of robots, with four items per scale. https://rrl.cse.unr.edu/media/documents/2018/Perceived_Social_Intelligence_PSI_Scales_Test_Manual_August_2018.pdf
   Google Scholar
• Bartneck, C., Kulić, D., Croft, E., & Zoghbi, S. (2009). Measurement instruments for the anthropomorphism, animacy, likeability, perceived intelligence, and perceived safety of robots. International Journal of Social Robotics, 1(1), 71–81. https://doi.org/10.1007/s12369-008-0001-3
   Web of Science ®Google Scholar
• Bethel, C. L., Salomon, K., Murphy, R. R., & Burke, J. L. (2007). Survey of psychophysiology measurements applied to human-robot interaction [Paper presentation]. RO-MAN 2007 - The 16th IEEE International Symposium on Robot and Human Interactive Communication, Jeju, Korea (pp. 732–737). https://doi.org/10.1109/ROMAN.2007.4415182
   Google Scholar
• Bewley, H., & Boer, L. (2018). Designing Blo-nut: Design principles, choreography and otherness in an expressive social robot [Paper presentation]. Proceedings of the 2018 Designing Interactive Systems Conference, Cambridge, MA, USA (pp. 1069–1080). https://doi.org/10.1145/3196709.3196817
   Google Scholar
• Boem, A., & Iwata, H. (2018). “It’s like holding a human heart”: The design of Vital + Morph, a shape-changing interface for remote monitoring. AI & Society, 33(4), 599–619. https://doi.org/10.1007/s00146-017-0752-1
   Google Scholar
• Bradley, M. M., & Lang, P. J. (1994). Measuring emotion: The self-assessment manikin and the semantic differential. Journal of Behavior Therapy and Experimental Psychiatry, 25(1), 49–59. https://doi.org/10.1016/0005-7916(94)90063-9
   PubMed Web of Science ®Google Scholar
• Bruns, M., Ossevoort, S., & Petersen, M. G. (2021). Expressivity in interaction: A framework for design [Paper presentation]. Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, Yokohama, Japan (pp. 1–13). https://doi.org/10.1145/3411764.3445231
   Google Scholar
• Budak, E. P., Zirhli, O., Stokes, A. A., & Akbulut, O. (2016). The Breathing Wall (BRALL)—Triggering life (in)animate surfaces. Leonardo, 49(2), 162–163. https://doi.org/10.1162/LEON_a_01199
   Web of Science ®Google Scholar
• Chen, F., Sengupta, J., & Adaval, R. (2018). Does endowing a product with life make one feel more alive? The effect of product anthropomorphism on consumer vitality. Journal of the Association for Consumer Research, 3(4), 503–513. https://doi.org/10.1086/698493
   Google Scholar
• Cochrane, K., Cao, Y., Girouard, A., & Loke, L. (2022). Breathing scarf: Using a first-person research method to design a wearable for emotional regulation [Paper presentation]. Sixteenth International Conference on Tangible, Embedded, and Embodied Interaction (pp. 1–19). https://doi.org/10.1145/3490149.3501330
   Google Scholar
• Delizonna, L. L., Williams, R. P., & Langer, E. J. (2009). The effect of mindfulness on heart rate control. Journal of Adult Development, 16(2), 61–65. https://doi.org/10.1007/s10804-009-9050-6
   Web of Science ®Google Scholar
• Farrall, A., Taylor, J., Ainsworth, B., & Alexander, J. (2023). Manifesting breath: Empirical evidence for the integration of shape-changing biofeedback-based artefacts within digital mental health interventions [Paper presentation]. Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, Hamburg Germany (pp. 1–14). https://doi.org/10.1145/3544548.3581188
   Google Scholar
• Garland, E. L., Farb, N. A., Goldin, P., & Fredrickson, B. L. (2015). Mindfulness broadens awareness and builds eudaimonic meaning: A process model of mindful positive emotion regulation. Psychological Inquiry, 26(4), 293–314. https://doi.org/10.1080/1047840X.2015.1064294
   PubMed Web of Science ®Google Scholar
• Garland, E. L., Gaylord, S. A., & Fredrickson, B. L. (2011). Positive reappraisal mediates the stress-reductive effects of mindfulness: An upward spiral process. Mindfulness, 2(1), 59–67. https://doi.org/10.1007/s12671-011-0043-8
   Google Scholar
• Georges, V., Courtemanche, F., Fredette, M., & Doyon-Poulin, P. (2020). Emotional maps for user experience research in the wild [Paper presentation]. Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, Honolulu, HI, USA (pp. 1–8). https://doi.org/10.1145/3334480.3383042
   Google Scholar
• Goncu-Berk, G., Zhang, & R., Yilmaz, C. (2021). CalmWear: A smart tactile sensory stimulation clothing [Paper presentation]. 2021 International Symposium on Wearable Computers (pp. 184–188). https://doi.org/10.1145/3460421.3478829
   Google Scholar
• Grönvall, E., Kinch, S., Petersen, M. G., & Rasmussen, M. K. (2014). Causing commotion with a shape-changing bench: Experiencing shape-changing interfaces in use. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 2559–2568).
   Google Scholar
• Höök, K., Jonsson, M. P., Ståhl, A., & Mercurio, J. (2016). Somaesthetic appreciation design [Paper presentation]. Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, San Jose, CA, USA (pp. 3131–3142). https://doi.org/10.1145/2858036.2858583
   Google Scholar
• Huang, X., Kettley, S., Lycouris, S., & Yao, Y. (2023). Autobiographical design for emotional durability through digital transformable fashion and textiles. Sustainability, 15(5), 4451. https://doi.org/10.3390/su15054451
   Web of Science ®Google Scholar
• Jeon, E. (2010). Aesthetic experience and comfort: Garment design integrated with movement qualities, dynamic bodily expression, and emotion [Paper presentation]. The Proceedings of the Kansei Engineering and Emotion Research International Conference 2010.
   Google Scholar
• Jiang, M., Nanjappan, V., ten Bhömer, M., & Liang, H.-N. (2021). On the use of movement-based interaction with smart textiles for emotion regulation. Sensors (Basel, Switzerland), 21(3), 990. https://doi.org/10.3390/s21030990
   PubMed Web of Science ®Google Scholar
• Jørgensen, J. (2017). From soft sculpture to soft robotics: Retracing a physical aesthetics of bio-morphic softness. RE: TRACE–7th International Conference for Histories of Media Art, Science and Technology, Vienna, Østrig.
   Google Scholar
• Jørgensen, J. (2018). Appeal and perceived naturalness of a soft robotic tentacle [Paper presentation]. Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction, Chicago, IL, USA (pp. 139–140). https://doi.org/10.1145/3173386.3176985
   Google Scholar
• Jørgensen, J., Bojesen, K. B., & Jochum, E. (2022). Is a soft robot more “natural”? Exploring the perception of soft robotics in human–robot interaction. International Journal of Social Robotics, 14(1), 95–113. https://doi.org/10.1007/s12369-021-00761-1
   Web of Science ®Google Scholar
• Kerruish, E. M. (2017). Affective touch in social robots. Transformations, 29, 116–134.
   Google Scholar
• Kim, J. H., Poulose, A., & Han, D. S. (2021). The extensive usage of the facial image threshing machine for facial emotion recognition performance. Sensors, 21(6), 6. https://doi.org/10.3390/s21062026
   Web of Science ®Google Scholar
• Kollias, D., Tzirakis, P., Nicolaou, M. A., Papaioannou, A., Zhao, G., Schuller, B., Kotsia, I., & Zafeiriou, S. (2019). Deep affect prediction in-the-wild: Aff-wild database and challenge, deep architectures, and beyond. International Journal of Computer Vision, 127(6–7), 907–929. https://doi.org/10.1007/s11263-019-01158-4
   Web of Science ®Google Scholar
• Locher, P., Overbeeke, K., & Wensveen, S. (2010). Aesthetic interaction: A framework. Design Issues, 26(2), 70–79. https://doi.org/10.1162/DESI_a_00017
   Web of Science ®Google Scholar
• Lutz, J., Herwig, U., Opialla, S., Hittmeyer, A., Jäncke, L., Rufer, M., Grosse Holtforth, M., & Brühl, A. B. (2014). Mindfulness and emotion regulation—An fMRI study. Social Cognitive and Affective Neuroscience, 9(6), 776–785. https://doi.org/10.1093/scan/nst043
   PubMed Web of Science ®Google Scholar
• Mayer, J. D., & Cavallaro, R. (2019). Brief mood introspection scale (BMIS): Technical and scoring manual (3rd ed., p. 29). University of New Hampshire, Personality Lab.
   Google Scholar
• Mayer, J. D., & Gaschke, Y. (1988). The experience and meta-experience of mood. Journal of Personality and Social Psychology, 55(1), 102–111. https://doi.org/10.1037/0022-3514.55.1.102
   PubMed Web of Science ®Google Scholar
• Monshat, K., Khong, B., Hassed, C., Vella-Brodrick, D., Norrish, J., Burns, J., & Herrman, H. (2013). “A conscious control over life and my emotions:” Mindfulness practice and healthy young people. A qualitative study. The Journal of Adolescent Health: Official Publication of the Society for Adolescent Medicine, 52(5), 572–577. https://doi.org/10.1016/j.jadohealth.2012.09.008
   PubMed Web of Science ®Google Scholar
• Morgan, L. P. (2011). The practice effect: The relationships among the frequency of early formal mindfulness practice, mindfulness skills, worry, and quality of life in an acceptance-based behavior therapy for generalized anxiety disorder. University of Massachusetts Boston.
   Google Scholar
• Niedderer, K. (2007). Designing mindful interaction: the category of performative object. Design Issues, 23(1), 3–17. https://doi.org/10.1162/desi.2007.23.1.3
   Web of Science ®Google Scholar
• Niedderer, K. (2014). Mediating mindful social interactions through design. In A. Ie, C. T. Ngnoumen, & E. Langer (Eds.), The Wiley Blackwell handbook of mindfulness (Vol. 1, pp. 345–366). Wiley.
   Google Scholar
• Papadopoulou, A. (2022). Affective matter: A haptic material modality for emotion regulation and communication. Massachusetts Institute of Technology.
   Google Scholar
• Parviainen, J., van Aerschot, L., Särkikoski, T., Pekkarinen, S., Melkas, H., & Hennala, L. (2019). Motions with emotions?: A phenomenological approach to understanding the simulated aliveness of a robot body. Techné: Research in Philosophy and Technology, 23(3), 318–341. https://doi.org/10.5840/techne20191126106
   Google Scholar
• Poulose, A., Kim, J. H., & Han, D. S. (2021). Feature vector extraction technique for facial emotion recognition using facial landmarks [Paper presentation]. 2021 International Conference on Information and Communication Technology Convergence (ICTC) (pp. 1072–1076). https://doi.org/10.1109/ICTC52510.2021.9620798
   Google Scholar
• Poulose, A., Reddy, C. S., Kim, J. H., & Han, D. S. (2021). Foreground extraction based facial emotion recognition using deep learning Xception model [Paper presentation]. 2021 Twelfth International Conference on Ubiquitous and Future Networks (ICUFN) (pp. 356–360). https://doi.org/10.1109/ICUFN49451.2021.9528706
   Google Scholar
• Sabinson, E. B., & Green, K. E. (2021). How do we feel? User perceptions of a soft robot surface for regulating human emotion in confined living spaces. 2021 30th IEEE International Conference on Robot Human Interactive Communication (pp. 1153–1158). IEEE. https://doi.org/10.1109/RO-MAN50785.2021.9515499
   Google Scholar
• Salovey, P., Mayer, J. D., Goldman, S. L., Turvey, C., & Palfai, T. P. (1995). Emotional attention, clarity, and repair: Exploring emotional intelligence using the Trait Meta-Mood Scale. In J. W. Pennebaker (Ed.), Emotion, disclosure, & health (pp. 125–154). American Psychological Association. https://doi.org/10.1037/10182-006
   Google Scholar
• Salovey, P., Stroud, L. R., Woolery, A., & Epel, E. S. (2002). Perceived emotional intelligence, stress reactivity, and symptom reports: Further explorations using the Trait Meta-Mood Scale. Psychology & Health, 17(5), 611–627. https://doi.org/10.1080/08870440290025812
   Web of Science ®Google Scholar
• Sas, C., & Chopra, R. (2015). MeditAid: A wearable adaptive neurofeedback-based system for training mindfulness state. Personal and Ubiquitous Computing, 19(7), 1169–1182. https://doi.org/10.1007/s00779-015-0870-z
   Web of Science ®Google Scholar
• Schiphorst, T., Seo, J., & Jaffe, N. (2010). Exploring touch and breath in networked wearable installation design [Paper presentation]. Proceedings of the 18th ACM International Conference on Multimedia, New York, NY, USA (pp. 1399–1400). https://doi.org/10.1145/1873951.1874225
   Google Scholar
• Schubert, E. (1999). Measuring emotion continuously: Validity and reliability of the two-dimensional emotion-space. Australian Journal of Psychology, 51(3), 154–165. https://doi.org/10.1080/00049539908255353
   Web of Science ®Google Scholar
• Stein, A., Tomforde, S., Botev, J., & Lewis, P. R. (2021, July 19–23). Lifelike computing systems [Paper presentation]. Lifelike Computing Systems Workshop (LIFELIKE), Prague, Czech Republic.
   Google Scholar
• Tillotson, J. (2009). Scentsory design: A “holistic” approach to fashion as a vehicle to deliver emotional well-being. Fashion Practice, 1(1), 33–61. https://doi.org/10.2752/175693809X418694
   Google Scholar
• Toisoul, A., Kossaifi, J., Bulat, A., Tzimiropoulos, G., & Pantic, M. (2021). Estimation of continuous valence and arousal levels from faces in naturalistic conditions. Nature Machine Intelligence, 3(1), 42–50. https://doi.org/10.1038/s42256-020-00280-0
   Google Scholar
• Wilhelm, F. H., Kochar, A. S., Roth, W. T., & Gross, J. J. (2001). Social anxiety and response to touch: Incongruence between self-evaluative and physiological reactions. Biological Psychology, 58(3), 181–202. https://doi.org/10.1016/S0301-0511(01)00113-2
   PubMed Web of Science ®Google Scholar
• Wilson, E. O. (1984). Biophilia. In Biophilia. Harvard university press.
   Google Scholar
• Winters, A., de Waart, S., & Bruns, M. (2022). Tension-and-release: A design principle for dynamic materials. International Journal of Design, 16(2), 1–14.
   Web of Science ®Google Scholar
• Young, N. A., & Mikels, J. A. (2020). Paths to positivity: The relationship of age differences in appraisals of control to emotional experience. Cognition & Emotion, 34(5), 1010–1019. https://doi.org/10.1080/02699931.2019.1697647
   PubMed Web of Science ®Google Scholar
• Youssef, M. M. (2017). Smart textiles as hybrid interactive materials A responsive behaviour towards transformable surfaces. International Design Journal, 7(2), 215–226. https://doi.org/10.12816/0046567
   Google Scholar
• Yu, B., Bongers, N., Van Asseldonk, A., Hu, J., Funk, M., & Feijs, L. (2016). LivingSurface: Biofeedback through shape-changing display [Paper presentation]. Proceedings of the TEI ’16: Tenth International Conference on Tangible, Embedded, and Embodied Interaction, Eindhoven, Netherlands (pp. 168–175). https://doi.org/10.1145/2839462.2839469
   Google Scholar