Abstract
Crowdsourcing is a useful tool for new product development and business innovation. To maximize its utility, regarding a crowdsourcing tool as an everyday thing used by crowds, in this paper, we integrate emotion and emotional design into a human-centred design process with local crowds and showcase an emotional crowdsourcing platform (tool) design for product development. In order to transform emotional design principles into the emotional crowdsourcing tool design, making it useful, usable and pleasurable, we first prototype a suitable emotion/emotional design process, and then identify a set of emotions and corresponding design features applicable for a crowdsourcing platform design and gain better understanding of common key concerns affecting the users’ satisfaction of a platform. Finally, we identify a set of operational toolkits with emotional design features.
The authors would like to thank the financial support from the UK Leverhumle Trust’s International Academic Fellowship project: IAF-2016-037 and the great supports from Professor Donald Norman, academic colleagues and supporting staff, researchers and the project participants at the Design Lab at UCSD.
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References
Qin, S.F., Van der Velde, D., Chatzakis, E., McStea, T., Smith, N.: Exploring barriers and opportunities in adopting crowdsourcing based new product development in manufacturing SMEs. Chin. J. Mech. Eng. 29(6), 1052–1066 (2016)
Norman, D.: The Design of Everyday Things. The MIT Press, Cambridge (1998)
Norman, D.: Emotional Design-Why We Love (or Hate) Everyday Things. Basic Books, New York (2004)
Qin, S.F.: Transforming emotional design principles into innovative product development platform design. In: CSCW 17 Workshop on Theory Transfers? Social Theory and CSCW Research. ACM, Portland (2017)
Buck, R.: Emotion-A Biosocial Synthesis. Cambridge University Press, Cambridge (2014)
Buck, R.: Prime theory: an integrated view of motivation and emotion. Psychol. Rev. 92(3), 389–413 (1985)
Desmet, P.: Designing Emotions. Delft University of Technology, Delft (2002)
Jordan, P.W.: Designing Pleasurable Products: An Introduction to the New Human Factors. Taylor & Francis, London (2000)
Desmet, P.: A multilayed model of product emotions. Des. J. 6(2), 4–13 (2003)
Desmet, P.: Designing emotions. Des. J. 6(2), 60–62 (2003)
Shneiderman, B.: Designing for fun: how can we design user interfaces to be more fun? Interaction 11, 48–50 (2004)
Treder, M.: Beyond wireframing: the real-life UX design process. Smashing Magazine
Marcus, A.: Emotion commotion. ACM Interact. 10, 28–34 (2003)
Shashidhar, G., Koolagudi, K., Sreenivasa, R.: Emotion recognition from speech: a review. Int. J. Speech Technol. 15, 99–117 (2012)
Dukes, D., Clément, F., Audrin, C., Mortillaro, M.: Looking beyond the static face in emotion recognition: the informative case of interest. Vis. Cogn. 25(4–6), 575–588 (2017)
Desmet, P., Overbeeke, K., Tax, S.: Designing product with added emotional value: development and application of an approach for research through design. Des. J. 4(1), 32–47 (2001)
Ho, A.G., Siu, K.W.M.: Emotion design, emotional design, emotionalize design: a review on their relationships from a new perspective. Des. J. 15(1), 9–32 (2012)
Zeineddine, I.: Gamification and crowdsourcing as engagement techniques for human right organizations. University of Gothenburg thesis (2012)
Dumitrache, A., Aroyo, L., Welty, C., Sips, R.J., Levas, A.: Dr. Detective. https://research.vu.nl/ws/files/1134293/ISWC2013.pdf
Kelly, R., Watts, L., Payne, S.J.: Can visualization of contributions support fairness in collaboration? Findings from meters in an online game. In: Proceedings of ACM CSCW 2016, pp. 664–678. ACM, San Francisco (2016)
Singer, Y., Mittal, M.: Pricing mechanisms for crowdsourcing markets. In: Proceedings of ACM WWW 2013, pp. 1157–1166. ACM, Rio de Janeiro (2013)
Liu, Q., Luo, T., Tang, R., Bressan, S.: An efficient and truthful pricing mechanism for team formation in crowdsourcing markets. In: Proceedings of IEEE International Conference on Communication - IEEE ICC 2015, pp. 567–572. IEEE Xplore, London (2015)
Hsieh, G.; Knocielnik, R.: You get who you pay for: the impact of incentives on participation bias. In: Proceedings of ACM CSCW 2016, pp. 823–835. ACM, San Francisco (2016)
Shah, N.B., Zhou, D., Peres, Y.: Approval voting and incentives in crowdsourcing. In: Proceedings of the 32nd International Conference on Machine Learning, vol. 37, pp. 10–19. ACM, Lille (2015)
Ikeda, K., Bernstein, M.S.: Pay it backward: per-task payments on crowdsourcing platforms reduce productivity. In: Proceedings of CHI 2016, pp. 4111–4121. ACM, San Jose (2016)
Singh, A., Li, Y., Sun, Y., Sun, Q.: An intelligent mobile crowdsourcing information notification system for developing countries. In: Xin-lin, H. (ed.) Machine Learning and Intelligent Communications, MLICOM 2016. LNICST, pp. 139–149. Springer, Cham (2017)
Huang, N., Gu, B., Burtch, G., Hong, Y., Liang, C., Wang, K., Fu, D., Yang, B., Lan, W.: Designing Effective performance feedback notification systems to stimulate content contribution: evidence from a crowdsourcing recipe platform. In: Proceedings of the 50th Hawaii International Conference on System Sciences, pp. 1453–1462. Hawaii (2017)
Organisciak, P., Teevan, J., Dumais, S., Miller R.C., Kalai, A.T.: A crowd of your own: crowdsourcing for on-demand personalization. In: Proceedings of the Second AAAI Conference on Human Computation and Crowdsourcing, pp. 192–200. AAAI (2014)
de Vreede, T., de Vreede, G.J., Reiter-Palmon, R.: Antecedents of engagement in community-based crowdsourcing. In: Proceedings of the 50th Hawaii International Conference on System Sciences, pp. 761–770. Hawaii (2017)
Yuen, M.C., King, I., Leung, K.S.: Task recommendation in crowdsourcing systems. In: Proceedings of CrowdKDD 2012, pp. 22–26. ACM, Beijing (2012)
Bragg, J., Weld, D.S.: Crowdsourcing multi-label classification for taxonomy creation. In: Proceedings of the First AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2013), pp. 25–33. AAAI (2013)
Kim, Y., Harburg, E., Azrla, S., Gerber, E., Gergle, D., Zhang, H.: Enabling physical crowdsourcing on-the-go with context-sensitive notifications. In: Human Computation and Crowdsourcing: Works in Progress Abstracts: An Adjunct to the Proceedings of the Third AAAI Conference on Human Computation and Crowdsourcing, pp. 14–15. AAAI (2015)
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Qin, S., Zhou, Y. (2019). Emotional Crowdsourcing Tool Design for Product Development: A Case Study Using Local Crowds. In: Fukuda, S. (eds) Advances in Affective and Pleasurable Design. AHFE 2018. Advances in Intelligent Systems and Computing, vol 774. Springer, Cham. https://doi.org/10.1007/978-3-319-94944-4_3
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DOI: https://doi.org/10.1007/978-3-319-94944-4_3
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