Abstract
This chapter analyzes the ethical challenges in healthcare when introducing medical machines able to understand and mimic human emotions. Artificial emotions is still an emergent field in artificial intelligence, so we devote some space in this paper in order to explain what they are and how we can have an machine able to recognize and mimic basic emotions. We argue that empathy is the key emotion in healthcare contexts. We discuss what empathy is and how it can be modeled to include it in a medical machine. We consider types of medical machines (telemedicine, care robots and mobile apps), and describe the main machines that are in use and offer some predictions about what the near future may bring. The main ethical problems we consider in machine medical ethics are: privacy violations (due to online patient databases), how to deal with error and responsibility concerning machine decisions and actions, social inequality (as a result of people being removed from an e-healthcare system), and how to build trust between machines, patients, and medical professionals.
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Notes
- 1.
For a list of important big software bugs, see WIRED paper at: http://www.wired.com/software/coolapps/news/2005/11/69355?currentPage=all. For engineering errors, see Henry Petrosky: To Engineer Is Human: The Role of Failure in Successful Design (1992); Design Paradigms: Case Histories of Error and Judgment in Engineering (1994); To Forgive Design: Understanding Failure (2012).
- 2.
Cody robot has been partially designed to avoid this and to help nurses. See: http://www.coe.gatech.edu/content/robotic-cody-learns-bathe.
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- 4.
See http://www.worldrobotics.org/uploads/media/Executive_Summary_WR_2013.pdf; http://www.roboticsbusinessreview.com/research/report/outlook_for_health_care_robotics_for_2013. The European project SILVER is another good example of deep investment in this direction (www.silverpcp.eu).
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- 7.
http://www.doublerobotics.com/. The 2009 Hollywood film “Surrogates” is not so far from this robot implementation, except for the grade of human likeness of the service robots.
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- 12.
See the 2012 official report http://www.healthit.gov/sites/default/files/final_report_building_better_consumer_ehealth.pdf.
- 13.
This would follow normal psychological rules implemented In normal health systems. See for example official guides like: http://www.cms.gov/Outreach-and-Education/Medicare-Learning-Network-MLN/MLNProducts/Downloads/Communicating_With_Patients_Fact-_Sheet_ICN908063.pdf or http://www.rcpsych.ac.uk/files/pdfversion/cr108.pdf.
- 14.
For example, the University of Washington, Medical Central provides several examples following this special necessity: with Korean patients see http://depts.washington.edu/pfes/PDFs/KoreanCultureClue.pdf, http://depts.washington.edu/pfes/PDFs/DeafCultureClue.pdf. They also call them ‘cultural clues’ http://depts.washington.edu/pfes/CultureClues.htm.
- 15.
The official video is here: http://www.youtube.com/watch?v=wAVtkh0mL20&feature=player_detailpage.
- 16.
WOZ (Wizard of OZ) experiments are experiments with teleoperated robots. I performed some of these experiments at the Nishidalab Kyoto University, http://www.aaai.org/Papers/Workshops/2007/WS-07-07/WS07-07-008.pdf. More on WOZ in Riek [59].
References
Wu FT (2013) Defining privacy and utility in data sets. U Colo L Rev 84:1117
McKinsey Global Institute (2011) Big data: the next frontier for innovation, competition, and productivity 1. Available at. http://www.mckinsey.com/insights/business_technology/big_data_the_next_frontier_for_innovation. Accessed 14 Nov 2013
Sweeney L (2013) K-anonymity: a model for protecting privacy. IEEE Secur Priv 10(5):557–570
Becker F, Sweeney B, Parsons K (2008) Ambulatory facility design and patients’ perceptions of healthcare quality. Health Environ Res Des J 1(4):35–54
Bambauer JR, Muralidhar K, Sarathy R (2014) Fool’s gold: an illustrated critique of differential privacy. Vanderbilt J Entertainment Technol Law (forthcoming)
Casacuberta D (2008) Digital inclusion: best practices from eLearning. E-learning Pap 16:60–74
Sen A (1999) Development as freedom. OUP, Oxford
Sarkar U, Karter AJ et al (2011) Social disparities in internet patient portal use in diabetes: evidence that the digital divide extends beyond access. J Am Med Inf Assoc 18:318–321
Lerman J (2013) Big data and its exclusions. Stanford Law Rev Online 55
Oram A (2012) Healthcare privacy discussed as an aspect of patient control. O’Reilly Radar. http://radar.oreilly.com/2012/06/health-care-privacy-discussed.html. Accessed 30 Sept 2013
Barlow J (1996) A declaration of the independence of cyberspace. http://homes.eff.org/~barlow/Declaration-Final.html. Accessed 15 Oct 2013
Hayles NK (1999) How we became posthuman. Chicago University Press, Chicago
Gray CH (2002) The cyborg citizen: politics in the posthuman age. Routledge, London
Casacuberta D, Senges M (2008) Do we need new rights in cyberspace? Discussing the case of how to define on-line privacy in an internet bill of rights. Enrahonar 40–41:99–111
Perry J (1993) The problem of essential indexical and other essays. OUP, Oxford
Brin D (1998) The transparent society. Basic Books, New York
Picard RW (1997) Affective computing. MIT Press, Cambridge (MA)
Vallverdú J (2012) Subsuming or embodying emotions? In: Vallverdú J (ed) Creating synthetic emotions through technological and robotic advancements. IGI Global Group, Hershey, pp 9–14
Zborowski M (1969) People in pain. Jossey-Bass, San Francisco
Armstrong K et al (2007) Racial/ethnic differences in physician distrust in the United States. Am J Public Health 97(7):1283–1289
Vallverdú J, Nishida T, Ohmoto Y, Moran S, Lázare S (2013) Fake empathy and HRI. A preliminary study. J Soc Robot (in press)
Rizzolatti G, Craighero L (2004) The mirror-neuron system. Ann Rev Neurosci 27:169–192
Ramachandran VS (2004) A brief tour of human consciousness. Pi Press, Pearson Education, New York
Decety J, Jackson PL (2004) The functional architecture of human empathy. Behav Cogn Neurosci Rev 3:71–100
Decety J, Lamm C (2006) Human empathy through the lens of social neuroscience. Sci World J 6:1146–1163
De Vignemont F, Singer T (2006) The empathic brain: how, when and why? Trends Cogn Sci 10(10):435–441
Krämer UM et al (2010) Emotional and cognitive aspects of empathy and their relation to social cognition–an fMRI-study. Brain Res 1311:110–120
Rosenthal-von der Pütten AM, Schulte FP, Eimler SC, Hoffmann L, Sobieraj S, Maderwald S, Krämer NC, Brand M (2013) Neural correlates of empathy towards robots. In: Proceedings of the 8th ACM/IEEE international conference on human-robot interaction (HRI ‘13). IEEE Press, Piscataway, NJ, USA, pp 215–216
Bartneck C, Nomura T, Kanda T, Suzuki T, Ennsuke K (2005) Cultural differences in attitudes towards robots. In: Proceedings of the AISB symposium on robot companions: hard problems and open challenges in human-robot interaction, Hatfield, pp 1–4
Bartneck C (2008) Who like androids more: Japanese or US Americans? In: Proceedings of the 17th IEEE international symposium on robot and human interactive communication, Technische Universität München, Munich, Germany
Vallverdú J (2011) The Eastern construction of the artificial mind. Enrahonar 47:171–185
Jahns RF (2013) The market for mHealth app services will reach $26 billion by 2017 (3/07/2013). http://www.research2guidance.com/the-market-for-mhealth-app-services-will-reach-26-billion-by-2017/. Accessed 14 Nov 2013
Fox S (2011) Peer-to-peer healthcare. Pew internet reports. http://www.pewinternet.org/Reports/2011/P2PHealthcare.aspx. Accessed 14 Nov 2013
Lupton D (2013) The commodification of patient opinion: the digital patient experience economy in the age of big data. Mobithinking. http://mobithinking.com/mobile-marketing-tools/latest-mobile-stats/a#subscribers. Accessed 14 Nov 2013
Topol EJ (2012) The creative destruction of medicine. Basic Books, New York
Wesolowski A, Eagle N, Tatem AJ, Smith DL, Noor AM, Snow RW, Buckee CO (2012) Quantifying the impact of human mobility on malaria. Science 338(6104):267–270
Clarysse I, Chellam M, Debrouwer W, Smart A (2013) WIPO patent no. 2013066642. World Intellectual Property Organization, Geneva, Switzerland
Naicker S, Plange-Rhule J, Tutt RC, Eastwood JB (2009) Shortage of healthcare workers in developing countries—Africa. Ethn Dis 19(1):60
Chutani S, Aalami JR, Badshah A (2010) Technology at the margins: how it meets the needs of emerging markets, vol 22. Wiley, USA
Terry M (2011) Telemicroscopes and point-of-care diagnostics team up with smart phones. Telemed J e-health: Off J Am Telemed Assoc 17(5):320–323
Oram A (2013) Why privacy should be among the first considerations of a healthcare app developer. http://rockhealth.com/2013/06/why-privacy-should-be-among-the-first-considerations-of-a-health-care-app-developer/. Accessed 15 Nov 2013
Waal F, Thompson E (2005) Primates, monks and the mind. J Conscious Stud 12(7):38–54
Luneski A, Bamidis PD, Hitoglou-Antoniadou M (2008) Affective computing and medical informatics: state of the art in emotion-aware medical applications. Stud Health Technol Inform 136:517–522
Scherer KR (2010) A blueprint for affective computing: a sourcebook. OUP, Oxford
Stich SP (1983) From folk psychology to cognitive science: the case against belief. The MIT Press, Cambridge, MA, US
Barakat A, Woolrych RD, Sixsmith A, Kearns WD, Kort HSM (2012) eHealth technology competencies for health professionals working in home care to support older adults to age in place: outcomes of a two-day collaborative workshop. Med 2.0 2(2):e10
Niedenthal PM (2007) Embodying emotion. Science 316:1002–1005
Tosa N (1996) Life-like communication agent-emotion sensing character “MIC” and feeling session character “MUSE”. In: Proceedings of the third IEEE international conference on multimedia computing and systems
Tosa N (2000) Unconscious flow. Leonardo 33:422–442
Friedman B et al (2003) Hardware companions? What online AIBO discussion forums reveal about the human-robotic relationship. Digit Sociability 5(1):273–280
Riek LD et al (2009) How anthropomorphism affects empathy toward robots. In: Proceedings of the 4th ACM/IEEE international conference on human robot interaction. ACM, New York, pp 245–246
Fink J (2012) Anthropomorphism and human likeness in the design of robots and human-robot interaction. Soc Robot 7621:199–208
Glaskin K (2012) Empathy and the robot: a neuroanthropological analysis. Ann Anthropol Pract 36(1):68–87
Pereira A et al (2011) Using empathy to improve human-robot relationships. Human-robot personal relationships lecture notes of the institute for computer sciences, social informatics and telecommunications engineering, vol 59. Springer, UK, pp 130–138
Tapus A, Mataric MJ (2006) Emulating empathy in socially assistive robotics. AAAI
Carpenter J (2013) The quiet professional: an investigation of U.S. military explosive ordnance disposal personnel interactions with everyday field robots. Doctoral Dissertation, University of Washington
Rosenthal-von der Pütten AM et al (2013) An experimental study on emotional reactions towards a robot. Int J Soc Robot 5:17–34
Kamide H, Eyssel F, Arai T (2013) Psychological anthropomorphism of robots. Soc Robot 8239:199–208
Riek LD (2012) Wizard of oz studies in HRI: a systematic review and new reporting guidelines. J Human-Robot Interact 1(1):119–136
Becker-Asano C, Kanda T, Ishiguro H (2011) Studying laughter in combination with two humanoid robots. AI Soc 26(3):291–300
Ekman P, Levenson RW, Friesen WV (1983) Autonomic nervous system activity distinguishes among emotions. Science 221(4616):1208–1210
Forest F, Oehme A, Yaici K, Verchere-Morice C (2006) Psycho-social aspects of context awareness in ambient intelligent mobile systems. In: Proceedings of the IST summit workshop, capturing context and context aware systems and platforms
Picard RW (2000) Towards computers that recognize and respond to user emotion. Tech Rep 0018-8670/00 2000 IBM
Picard RW (2007) Toward machines with emotional intelligence. In: Matthews G, Zeidner M, Roberts RD (eds) The science of emotional intelligence: knowns and unknowns. Oxford University Press, Oxford, UK
Ekman E, Friesen E (1971) Constants across culture in the face and emotion. J Pers Soc Psychol 17:124–129
Ekman E (1973) Cross cultural studies of facial expressions. In: Ekman P (ed) Darwin and facial expression: a century or research in review. Academic Press, New York
Ekman P (2003) Darwin, deception, and facial expression. Ann NY Acad Sci 1000(1):205–221
Norman D (1999) The invisible computer. MIT Press, Cambridge (Mass)
Sadri F (2011) Ambient intelligence: a survey. ACM Comput Surv (CSUR) 43(4):36
D’Mello S, Jackson T, Craig S, Morgan B, Chipman P, White H, Person N, Kort B, El Kalioby R, Picard R, Graesser A (2008) AutoTutor detects and responds to learners affective and cognitive states. In: Proceedings of the workshop on emotional and cognitive issues at the international conference of intelligent tutoring systems
González G, De la Rosa JL, Dugdale J, Pavard B, Eljed M, Pallamín N, Angulo C, Klann M (2006) Towards ambient recommender systems: results of new cross-disciplinary trends. In: Proceedings of ECAI workshop on recommender systems
Acknowledgments
Financial support for this research was received from the Spanish Government’s DGICYT research project: FFI2011-23238, “Innovation in scientific practice: cognitive approaches and their philosophical consequences”. Most of this work was supported by the TECNOCOG research group (at UAB) on Cognition and Technological Environments, and has been developed by the SETE (Synthetic Emotions in Technological Environments) research group. The last part of the research on HRI and emotions was funded by the Japan society for the Promotion of Science (JSPS) at Nishidalab, University of Kyoto (Japan).
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Vallverdú, J., Casacuberta, D. (2015). Ethical and Technical Aspects of Emotions to Create Empathy in Medical Machines. In: van Rysewyk, S., Pontier, M. (eds) Machine Medical Ethics. Intelligent Systems, Control and Automation: Science and Engineering, vol 74. Springer, Cham. https://doi.org/10.1007/978-3-319-08108-3_20
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