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A Framework for Emotion-Driven Product Design Through Virtual Reality

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Information Technology for Management: Business and Social Issues (FedCSIS-AIST 2021, ISM 2021)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 442))

Abstract

Emotions play a significant role in the interaction between products and users. However, it is still not very well understood how users’ emotions can be incorporated in product design [34]. We argue that this gap is due to a lack of a methodological and technological framework for investigating emotions’ elicitation conditions and for emotion recognition. For example, the effectiveness of emotion elicitation conditions is generally validated by assessing users’ emotional response through ineffective means (e.g., surveys and interviews [36]). In this paper, we argue that Virtual Reality (VR) is the most suitable means to perform this investigation, and we propose a novel methodological framework, referred to as the Virtual-Reality-Based Emotion-Elicitation-and-Recognition loop (VEE-Loop), that can be exploited to realize it. The VEE-Loop consists of continuous monitoring of users’ emotions, which are then provided to product designers as implicit user feedback. This information is used to dynamically change the content of VR environment, and the process is iterated until the desired affective state is solicited. In this work, we develop a proof-of-concept implementation of the VEE-Loop, and we apply it in two real use cases. Obtained results show that designers can precisely identify when users feel negative emotions (e.g., frustration) simply by analyzing their movements. As negative emotions signal troublesome interactions with the virtual representation of their products, designers obtain valuable feedback on how to enhance them.

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Notes

  1. 1.

    https://uploadvr.com/htc-facial-tracker-quest-index/.

  2. 2.

    https://www.ted.com/talks/simon_sinek_how_great_leaders_inspire_action?language=en.

  3. 3.

    https://v-machina.supsi.ch/.

  4. 4.

    https://artanim.ch/project/vr4cad/.

References

  1. Badia, S.B., et al.: Toward emotionally adaptive virtual reality for mental health applications. IEEE J. Biomed. Health Inform. 23, 1877–1887 (2018). https://doi.org/10.1109/jbhi.2018.2878846

    Article  Google Scholar 

  2. Hossain, M.S., Muhammad, G., Song, B., Hassan, M.M., Alelaiwi, A., Alamri, A.: Audio-visual emotion-aware cloud gaming framework. IEEE Trans. Circuits Syst. Video Technol. 25, 2105–2118 (2015). https://doi.org/10.1109/TCSVT.2015.2444731

    Article  Google Scholar 

  3. Nagamachi, M.: Kansei engineering: a new ergonomic consumer-oriented technology for product development. Int. J. Ind. Ergon. 15, 3–11 (1995). https://doi.org/10.1016/0169-8141(94)00052-5

    Article  Google Scholar 

  4. Luh, P.B., Liu, F., Moser, B.: Scheduling of design projects with uncertain number of iterations. Eur. J. Oper. Res. 113(3), 575–592 (1999). https://doi.org/10.1016/S0377-2217(98)00027-7

    Article  MATH  Google Scholar 

  5. Stals, S.: Exploring emotion, affect and technology in the urban environment. In: Proceedings of the 2017 ACM Conference Companion Publication on Designing Interactive Systems, pp. 404–406 (2017). https://doi.org/10.1145/3064857.3079172

  6. Dou, R., Zhang, Y., Nan, G.: Iterative product design through group opinion evolution. Int. J. Prod. Res. 55(13), 3886–3905 (2017). https://doi.org/10.1080/00207543.2017.1316020

  7. Munoz, S., Araque, O., Sánchez-Rada, J.F., Iglesias, C.A.: An emotion aware task automation architecture based on semantic technologies for smart offices. Sensors 18(5), 1499 (2018). https://doi.org/10.3390/s18051499

    Article  Google Scholar 

  8. Condori-Fernandez, N.: HAPPYNESS: an emotion-aware QoS assurance framework for enhancing user experience. In: 2017 IEEE/ACM 39th International Conference on Software Engineering Companion (ICSE-C), pp. 235–237 (2017). https://doi.org/10.1109/ICSE-C.2017.137

  9. Sindhu, N., Jerritta, S., Anjali, R.: Emotion driven mood enhancing multimedia recommendation system using physiological signal. IOP Conf. Ser. Mater. Sci. Eng. 1070(1), 012070 (2021). https://doi.org/10.1088/1757-899X/1070/1/012070

    Article  Google Scholar 

  10. Mariappan, M.B., Suk, M., Prabhakaran, B.: FaceFetch: a user emotion driven multimedia content recommendation system based on facial expression recognition. In: 2012 IEEE International Symposium on Multimedia, pp. 84–87 (2012). https://doi.org/10.1109/ISM.2012.24

  11. Polignano, M., Narducci, F., De Gemmis, M., Semeraro, G.: Towards emotion-aware recommender systems: an affective coherence model based on emotion-driven behaviors. Expert Syst. Appl. 170, 114382 (2021). https://doi.org/10.1016/j.eswa.2020.114382

    Article  Google Scholar 

  12. Sinek, S.: Start with Why: How Great Leaders Inspire Everyone to Take Action. Penguin, New York (2009)

    Google Scholar 

  13. Desmet, P.: Designing emotions. Delft University of Technology, Department of Industrial Design (2002). https://doi.org/10.4236/msce.2020.84008

  14. Liu, Y., Sourina, O., Hafiyyandi, M.R.: EEG-based emotion-adaptive advertising. In: 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction, pp. 843–848 (2012). https://doi.org/10.1109/ACII.2013.158

  15. Riva, G., et al.: Affective interactions using virtual reality: the link between presence and emotions 10(1), 45–56 (2007). https://doi.org/10.1089/cpb.2006.9993

  16. Ortigosa, A., Martín, J.M., Carro, R.M.: Sentiment analysis in Facebook and its application to e-learning. Comput. Hum. Behav. 31, 527–541 (2014). https://doi.org/10.1016/j.chb.2013.05.024

    Article  Google Scholar 

  17. Mehrabian, A.: Pleasure-arousal-dominance: a general framework for describing and measuring individual differences in temperament. Current Psychol. 14(4), 261–292 (1996). https://doi.org/10.1007/BF02686918

  18. Kim, C., Yoon, J., Desmet, P., Pohlmeyer, A.: Designing for Positive Emotions: Issues and Emerging Research Directions. Ashgate Publishing Ltd. (2021). https://doi.org/10.1080/14606925.2020.1845434

  19. Frijda, N.H.: The Emotions. Cambridge University Press, Cambridge (1986)

    Google Scholar 

  20. Desmet, P.M.A., Fokkinga, S.F., Ozkaramanli, D., Yoon, J.: Emotion-driven product design. Emot. Meas., 405–426 (2016). https://doi.org/10.1016/B978-0-08-100508-8.00016-3

  21. Alaniz, T., Biazzo, S.: Emotional design: the development of a process to envision emotion-centric new product ideas. Procedia Comput. Sci. 158, 474–484 (2019). https://doi.org/10.1016/j.procs.2019.09.078

    Article  Google Scholar 

  22. Zaltman, G.: The subconscious mind of the consumer (and how to reach it). Harvard Business School. Working Knowledge (2003). http://hbswk.hbs.edu/item/3246.html

  23. Wrigley, C., Straker, K.: Affected: Emotionally Engaging Customers in the Digital Age. Wiley, Milton (2019)

    Google Scholar 

  24. Marín Morales, J.: Modelling human emotions using immersive virtual reality, physiological signals and behavioural responses (2020)

    Google Scholar 

  25. Saxena, A., Khanna, A., Gupta, D.: Emotion recognition and detection methods: a comprehensive survey. J. Artif. Intell. Syst. 2(1), 53–79 (2020). https://doi.org/10.33969/AIS.2020.21005

  26. Susindar, S., Sadeghi, M., Huntington, L., Singer, A., Ferris, T.K.: The feeling is real: emotion elicitation in virtual reality. In: Proceedings of the Human Factors and Ergonomics Society Annual Meeting, vol. 63, no. 1, pp. 252–256 (2019). https://doi.org/10.1177/1071181319631509

  27. De Luca, V.: Emotions-based interactions: design challenges for increasing well-being. (2016). https://doi.org/10.13140/RG.2.2.27698.81609

  28. De Luca, V.: Oltre l’interfaccia: emozioni e design dell’interazione per il benessere. MD J. 1(1), 106–119 (2016)

    Google Scholar 

  29. Diemer, J., Alpers, G.W., Peperkorn, H.M., Shiban, Y., Mühlberger, A.: The impact of perception and presence on emotional reactions: a review of research in virtual reality. Front. Psychol. 6, 26 (2015). https://doi.org/10.3389/fpsyg.2015.00026

    Article  Google Scholar 

  30. Marín-Morales, J., et al.: Real vs. immersive-virtual emotional experience: analysis of psycho-physiological patterns in a free exploration of an art museum. PloS One 14, 10 (2019). https://doi.org/10.1371/journal.pone.0223881

    Article  Google Scholar 

  31. Buccoli, M., Zanoni, M., Sarti, A., Tubaro, S., Andreoletti, D.: Unsupervised feature learning for music structural analysis. In: 2016 24th European Signal Processing Conference (EUSIPCO), pp. 993–997 (2016). https://doi.org/10.1109/EUSIPCO.2016.7760397

  32. Fung, K.Y., Kwong, C.K., Siu, K.W.M., Yu, K.M.: A multi-objective genetic algorithm approach to rule mining for affective product design. Expert Syst. Appl. 39(8), 7411–7419 (2012). https://doi.org/10.1016/j.eswa.2012.01.065

  33. Andreoletti, D., Luceri, L., Peternier, A., Leidi, T., Giordano, S.: The virtual emotion loop: towards emotion-driven product design via virtual reality. In: 2021 16th Conference on Computer Science and Intelligence Systems (FedCSIS), pp. 371–378 (2021). https://doi.org/10.15439/2021F120

  34. Fishwick, M.: Emotional design: why we love (or hate) everyday things. J. Am. Cult. 27(2), 234–236 (2024). https://doi.org/10.1108/07363760610655069

    Article  Google Scholar 

  35. Press, W.H., Teukolsky, S.A.: Savitzky-Golay smoothing filters. Comput. Phys. 4(6), 669–672 (1990). https://doi.org/10.1063/1.4822961

    Article  Google Scholar 

  36. Boonjing, V., Pimchangthong, D.: Data mining for positive customer reaction to advertising in social media. Info. Technol. Manag. Ongoing Res. Dev., 83–95 (2017). https://doi.org/10.15439/2017F356

  37. Ziemba, E.: Synthetic indexes for a sustainable information society: measuring ICT adoption and sustainability in Polish government units. In: Ziemba, E. (ed.) AITM/ISM 2018. LNBIP, vol. 346, pp. 214–234. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-15154-6_12

    Chapter  Google Scholar 

  38. Floris, C., et al.: Feasibility of heart rate and respiratory rate estimation by inertial sensors embedded in a virtual reality headset. Sensors 20(24), 1424–8220 (2020). https://doi.org/10.3390/s20247168

    Article  Google Scholar 

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Acknowledgments

This research was funded by the EU EIT Manufacturing initiative through the V-Machina project, and by the Innosuisse innovation project VR+4CAD. Many thanks to ArtAnim (Geneva) for the collaboration and support on this project, and to Green Motion SA (Lausanne) for providing us with the 3D model of the AC wall-mounted charger.

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Authors and Affiliations

  1. University of Applied Sciences of Southern Switzerland, Via la Santa 1, 6962, Viganello, Switzerland

    Davide Andreoletti, Marco Paoliello, Luca Luceri, Tiziano Leidi, Achille Peternier & Silvia Giordano

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  1. Davide Andreoletti
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Correspondence to Davide Andreoletti .

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  1. University of Economics in Katowice, Katowice, Poland

    Ewa Ziemba

  2. University of Warsaw, Warsaw, Poland

    Witold Chmielarz

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Andreoletti, D., Paoliello, M., Luceri, L., Leidi, T., Peternier, A., Giordano, S. (2022). A Framework for Emotion-Driven Product Design Through Virtual Reality. In: Ziemba, E., Chmielarz, W. (eds) Information Technology for Management: Business and Social Issues. FedCSIS-AIST ISM 2021 2021. Lecture Notes in Business Information Processing, vol 442. Springer, Cham. https://doi.org/10.1007/978-3-030-98997-2_3

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