Affective Computing in the Design of Interactive Systems

Tom Page*
Senior Lecturer, Electronic Product Design, Loughborough Design School, Loughborough University, UK.
Periodicity:May - July'2015
DOI : https://doi.org/10.26634/jmt.2.2.4871

Abstract

This research explores how such familiar notions can successfully translate onto interactive systems; providing profound and emotional design experiences without the necessity for a physical chassis. An online survey facilitated the acquisition of a consumer voice regarding levels of engagement with various interactive devices. It also explores consumer understandings of privacy and data collection. A series of interviews was conducted with professionals in the UX industry, adding context to affective implementation within commercial environments. Furthermore, these discussions address the benefits of implementing emotional design experiences interactively and the privacy concerns this surface. The research concludes with an overview of how affective computing methodology - in conjunction with consumer engagement - can be used in the creation of profound experiences whilst using interactive systems. It also explores the issues which arise with its implementation; specifically privacy and implicit data collection. Recommendations for further study in this field are provided based on the research discussion and findings.

Keywords

UX Design, Systems Design, Affective Computing

How to Cite this Article?

Page, T. (2015). Affective Computing in the Design of Interactive Systems. i-manager’s Journal on Mobile Applications and Technologies, 2(2), 1-18. https://doi.org/10.26634/jmt.2.2.4871

References

[1]. A.E.S. (2015). The Fuss Over Wearables. Retrieved from T he Economist:http://www.economist.com/blogs/economist-explains/ 2015/03/economist-explains-9
[2]. Ackerman, L. (1997). Organisational Development Classics. San Francisco: Jossey Bass.
[3]. Aktar, A. (2014). High-Tech Meets High Fashion: The New Look of Wearable Technology. Retrieved from Entrepreneur:http://www.entrepreneur.com /article/239679/
[4]. Anon, (2014a). The Rise of the Machines. Retrieved from CEA: http://www.ce.org/i3 /Features/2014/ September-October/The-Rise-of-the-Machines.aspx
[5]. Anon, (2014). “Wearable Technology: The New Tech Battleground?” Retrieved from MarketLine: http:// www.store.marketline.com/Product/wearable_ technology_the_new_tech_battleground?productid=M L00017-016
[6]. Barack, L., (2015). Can Technology Tell You When a Client is Worried? Retrieved from Wealth Management: http://wealthmanagement.com/technology/cantechnology- tell-you-when-client-worried
[7]. BI Intelligence, (2014). How the Market Will Grow Across the Home, Enterprise, and Government Sectors? Retrieved from Business Insider: https://intelligence .businessinsider.com/the-internet-of-things-is-risingexamining- the-internet-of-things-2014-9
[8]. Brust, A., (2014). “Machine Learning, in Redmond and Beyond”.Gigaom Research. Retrieved from http://www.research.gigaom.com/2014/07/machinelearning- in-redmond-and-beyond.
[9]. Chew, S. W., Lucey, P., Lucey, S., Saragih, J., Cohn, J. F., Matthews, I., et al. (2012). “In the Pursuit of Effective Affective Computing: The Relationship Between Features and Registration”. Transactions on Systems, Man and Cybernetics - Part B, pp. 1006-1016.
[10]. Christensen, C. M. (1992). “Exploring the Limits of the Technology S-Curve. Part I: Component Technologies”. Production and Operations Management, pp. 334-357.
[11]. Deloitte, (2013). “Putting the 'Internet of Things' to Work in IT”. CIO Journal Retrieved from http://deloitte.wsj. com/cio/2013/08/19/putting-the-internet-of-things-towork- in-it
[12]. D'Mello, S., Graesser, A., Schuller, B., & Martin, J.-C., (2011). “Affective Computing and Intelligent Interaction”. ACII (Affective Computing and Intelligent Interaction Conference), Memphis: Springer, pp. 1-604.
[13]. Floyd, J., and Fowler, J. (2008). Survey Research Methods. New York: Sage Publications.
[14]. Fong, B., (2012). “Affective Computing in Consumer Electronics”. IEEE Transactions on Affective Computing, pp. 129-131.
[15]. Gartner, J. R., & Gartner, R. V. (2014). “The Emerging Technologies Hype Cycle”. The Economist. Retrieved from http://http://www.economist.com/blogs/graphicdetail/ 2014/08/daily-chart-17
[16]. GFK, (2014). Where (or Wear) Next for Wearables? Retrieved from GFK: http://www.gfk.com /uk/news-andevents/ news/pages/where-or-wear-next-for-wearables. aspx
[17]. Hamdi, H., Richard, P., Suteau, A., and Allain, P. (2012). “Emotion Assessment for Affective Computing Based on Physiological Responses”. Brisbane: World Congress on Computational Intelligence.
[18]. Harris, D. (2014). “Applications are Driving Investment in Deep Learning Startups”. Gigaom Research. Retrieved from https://gigaom.com/2014/11/03/applications-aredriving- investment-in-deep-learning-startups/
[19]. Harris, D., (2014). “Microsoft Cortana: Mobile Virtual Assistant and, now, Concert Hookup”. Gigaom Research. Retrieved from https://gigaom.com/2014 /10/17/ microsoft-cortana-mobile-virtual-assistant-and-nowconcert- hookup/
[20]. Harris, M., (2014). “Apple gets Siri-ous About Voice Recognition”. Stuff. Retrieved from http://www. stuff.tv/new s/apple-gets-siri-ous -about-voice-recognition # QORxWrQRc8e8V7Qp.99
[21]. Hiltbrand, T., (2014). “Watson and Siri: The Rise of the BI Smart Machine”. Business Intelligence Journal, 23.
[22]. Hupont, I., Baldassarri, S., Cerezo, E., & Del-Hoyo, R. (2013). “The Emotracker - Visualising Contents, Gaze and Emotions at a Glance”. Humaine Association Conference on Affective Computing and Intelligent Interaction, pp. 751-756.
[23]. Jordan, P. W. (2000). Designing Pleasurable Products. London: Taylor & Francis.
[24]. Kahn, R. L., & Cannell, C. F. (1957). The Dynamics of Interviewing; Theory, Technique, and Cases. Oxford: John Wiley & Sons.
[25]. LaMarca, N., (2011). “The Likert Scale: Advantages and Disadvantages”. Field Research in Organisational Psychology.Retrieved from https://psyc450. wordpress.com/2011/12/05/the-likert-scale-advantagesand- disadvantages/.
[26]. Maslow, A. H., (1954). Motivation and Personality. New York: Harper.
[27]. Milhorat, P., Schlogl, S., Chollet, G., Boudy, J., Esposito, A., and Pelosi, G. (2014). “Building the Next Generation of Personal Digital Assistants”. Advanced Technologies for Signal and Image Processing, pp. 458- 463, Sousse: IEEE.
[28]. Narayanan, S., & Georgiou, P. G. (2013). “Behavioural Signal Processing: Deriving Human Behavioural Informatics From Speech and Language”. California: University of Southern California.
[29]. Newan, W. M., & Lamming, M. G. (1995). Interactive System Design. Boston: Addison Wesley.
[30]. Norman, D. (2004). Emotional Design: Why We Love (or Hate) Everyday Things. New York: Basic Books.
[31]. Olson, P., (2014). “5 Things to Know About Siri and Google Now's Growing Intelligence”. Retrieved from Forbes: http://www.forbes.com/sites /parmyolsen /2014/07/08/5-things-to-know-about-siri-and-googlenows- growing-intelligence/2/
[32]. Picard, R. W., (1995). Affective Computing. Cambridge: MIT Media Laboratory.
[33]. Picard, R. W. (2010). “Affective Computing from Laughter to IEEE”. IEEE Transactions on Affective Computing, Vol. 1, No. 1, pp. 11-17.
[34]. Riggan, M., (2009). “Hierarchy of Consumer Needs for a Product”. Retrieved from Atlantic BT: http://www. atlanticbt.com/blog/hierarchy-of-consumer-needs-fora- product/
[35]. Rodgers, P., & Milton, A. (2013). Research Methods for Product Design. London: Laurence King Publishing Ltd.
[36]. Rogers, E. M., (2003). Diffusion of Innovations (5 ed.). New York: Free Press.
[37]. Simon, H. A., (1996). The Sciences of the Artificial. London: The MIT Press.
[38]. Spivak, N., (2014). “The Next Step for Intelligent Virtual Assistants: It's Time to Consolidate”. Retrieved from Gigaom: https://gigaom.com/2014/09/01/the-next-stepfor- intelligent-virtual-assistants-its-time-to-consolidate/.
[39]. Wagner, J. (2014). “Machine Learning and Predictive Analytics Foster Growth”. Retrieved from Programmable Web: http://www.programmable web.com/n ews /machine-learning-and-predictive-analytics-fostergrowth/ 2014/02/21
[40]. Withers, P., (2014). “Wearables Market Could Be Worth £104.7m to Retailers This Christmas”. Retrieved from Mobile News: http://www.mobilenews cwp.co.uk /2014/10/30/wearables-market-could-be-worth-104-7mto- retailers-this-christmas.
If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Single Article

North Americas,UK,
Middle East,Europe
India Rest of world
USD EUR INR USD-ROW
Pdf 35 35 200 20
Online 35 35 200 15
Pdf & Online 35 35 400 25

Options for accessing this content:
  • If you would like institutional access to this content, please recommend the title to your librarian.
    Library Recommendation Form
  • If you already have i-manager's user account: Login above and proceed to purchase the article.
  • New Users: Please register, then proceed to purchase the article.