Abstract
The research refers to two different initial topics of interest. On the one hand the large-scale diffusion of tracking devices and the growing interest to-wards the movement for the personal quantification, led us to the hypothesis that devices could autonomously analyze not only physical field related data, but also those related to emotions. On the other hand, the development of an intangible and interface-free system that aims to shape the environment around us according to our needs, hypothetically doesn’t require our direct intervention. A so called zero user interface system. In this scenario, the presence of data related to our emotional state, generally referred as mood, could be useful to regulate a system otherwise based on a single automated collection of exogenous values. In this paper we will focus on both on how this theoretical system will work and impact on the sustainability, and how to collect this data in a ideal way.
Keywords
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Bistagnino L (2011) Design sistemico: progettare la sostenibilità produttiva e ambientale. Slow Food, Bra
Germak C (2008) Uomo al centro del progetto: design per un nuovo umanesimo. Allemandi & C, Torino
Celaschi F, De Moraes D (2013) Future, well-being, interdependence: keywords for contemporaneous design: Humanismo. Editora da Universidade do Estado de Minas Gerais, Belo Horizonte, Cadernos de Estudos Avançados em Design
Tamborrini PM (2009) Design sostenibile. Oggetti, sistemi e comportamenti. Mondadori Electa, Milano
Wade J (2017, November 14) Wearable technology statistics and trends 2018. https://www.smartinsights.com/digital-marketing-strategy/wearables-statistics-2017/
Paterson HM (2002) The perception and cognition of emotion from motion. Doctoral dissertation, University of Glasgow
Preventice service. http://www.preventicesolutions.com
QMedic. https://www.qmedichealth.com/
Berglund ME, Duvall J, Dunne LE (2016) A survey of the historical scope and current trends of wearable technology applications. In: Proceedings of the 2016 ACM international symposium on wearable computers. ACM, pp 40–43
IDC report (2017) Worldwide quarterly wearable device tracker
The Dash Pro. https://www.bragi.com/thedashpro/customize/)
Gear Iconx. http://www.samsung.com/it/wearables/gear-iconx-r150/SM-R150NZKAITV/
Google Pixel Buds. https://store.google.com/product/google_pixel_buds)
Googlel Project Jaquard. https://atap.google.com/jacquard/
Zephyr Performance Systems. https://www.zephyranywhere.com/
Wearable Wellness System. http://www.smartex.it/en/our-products/232-wearable-wellness-system-wws
Sensoria. http://www.sensoriafitness.com/
Donald N (2004) Emotional design. Apogeo Editore
Jeffs M (2018, April 25) Voice search - growth statistics & how trends in voice search affect SEO. https://www.branded3.com/blog/google-voice-search-stats-growth-trends/
AA. VV. Zero UI (n.d.) Designing invisible interfaces. https://www.zuora.com/guides/zero-ui-designing-invisible-interfaces/
Marzano S (2014, February 6) Un modo di produrre valore. https://www.domusweb.it/it/opinion/2014/02/06/un_modo_di_produrre_valore.html
Rinaldi A (2014) Design innovazione e tecnologie smart per il benessere e la salute”. Doctoral dissertation, Università degli studi di Firenze
Weiser M (1991) The computer for the 21st century. Sci Am 265(3):94–105
Ratti C, Claudel M (2015) Futurecra: tomorrow by design. TECHNE-J Technol Arch Environ 10:28–33
Ragot M, Martin N, Em S, Pallamin N, Diverrez J-M (2018) Emotion recognition using physiological signals: laboratory vs. wearable sensors. In: Ahram T, Falcão C (eds) AHFE 2017, vol 608. AISC. Springer, Cham, pp 15–22. https://doi.org/10.1007/978-3-319-60639-2_2
Amaya K, Bruderlin A, Calvert T (1996, May) Emotion from motion. In: Graphics interface, vol 96, pp 222–229
Ma Y, Paterson HM, Pollick FE (2006) A motion capture library for the study of identity, gender, and emotion perception from biological motion. Behav Res Methods 38(1):134–141
Bernhardt D (2010) Emotion inference from human body motion. Doctoral dissertation, University of Cambridge
Piana S, Stagliano A, Odone F, Verri A, Camurri A (2014) Real-time automatic emotion recognition from body gestures. arXiv preprint arXiv:1402.5047
Buenaflor C, Kim HC (2013) Six human factors to acceptability of wearable computers
Zeagler C (2017) Where to wear it: functional, technical, and social considerations in on-body location for wearable technology 20 years of designing for wearability. In: Proceedings of the 2017 ACM international symposium on wearable computers. ACM
Fletcher RR, Kulkarni S (2010, August) Clip-on wireless wearable microwave sensor for ambulatory cardiac monitoring. In: 2010 annual international conference of the IEEE engineering in medicine and biology society (EMBC), IEEE, pp 365–369
Zhao M, Adib F, Katabi D (2016, October) Emotion recognition using wireless signals. In: Proceedings of the 22nd annual international conference on mobile computing and networking. ACM, pp 95–108
Liu D, Ulrich M (2014) Listen to your heart: stress prediction using consumer heart rate sensors
Google Project Soli. https://atap.google.com/soli/
Wang S, Song J, Lien J, Poupyrev I, Hilliges O (2016, October) Interacting with soli: exploring fine-grained dynamic gesture recognition in the radio-frequency spectrum. In: Proceedings of the 29th annual symposium on user interface software and technology. ACM, pp 851–860
Sterley TL et al (2018) Social transmission and buffering of synaptic changes after stress. Nat Neurosci 1
Arduino 101. https://store.arduino.cc/genuino-101
SparkFun single lead heart rate monitor - AD8232. https://www.sparkfun.com/products/12650
HRV of ECG. https://github.com/sdimi/HRV-of-ECG
Grove - GSR sensor. https://www.seeedstudio.com/Grove-GSR-sensor-p-1614.html
Leap Motion. https://www.leapmotion.com/
Diaz J (2018, April 09) Leap motion’s “virtual wearables” may be the future of computing. https://www.fastcodesign.com/90167172/leap-motions-virtual-wearables-may-be-the-future-of-computing
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Montagner, F., Tamborrini, P., Di Salvo, A. (2019). Emotions as a System Regulator for Sustainability: Designing a Tangible Device Capable to Enable Connections. In: Bagnara, S., Tartaglia, R., Albolino, S., Alexander, T., Fujita, Y. (eds) Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018). IEA 2018. Advances in Intelligent Systems and Computing, vol 824. Springer, Cham. https://doi.org/10.1007/978-3-319-96071-5_217
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