Abstract
Pervasive sensing and human behavior understanding can help us in implementing or improving systems that can induce behavioral change. In this introductory paper of the 2nd International Workshop on Human Behavior Understanding (HBU’11), which has a special focus theme of “Inducing Behavioral Change”, we provide a taxonomy to describe where and how HBU technology can be harnessed to this end, and supply a short survey of the area from an application perspective. We also consider how social signals and settings relate to this concept.
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References
Alemdar, H., Ersoy, C.: Wireless sensor networks for healthcare: A survey. Computer Networks 54(15), 2688–2710 (2010)
Anderson, C.A., Bushman, B.J.: Effects of violent video games on aggressive behavior, aggressive cognition, aggressive affect, physiological arousal, and prosocial behavior: A meta-analytic review of the scientific literature. Psychological Science 12(5), 353–359 (2001)
Avci, A., Bosch, S., Marin-Perianu, M., Marin-Perianu, R., Havinga, P.: Activity recognition using inertial sensing for healthcare, wellbeing and sports applications: A survey. In: Proc. 23rd Int. Conf. on Architecture of Computing Systems (ARCS), pp. 167–176. VDE Verlag (2010)
Baccouche, M., Mamalet, F., Wolf, C., Garcia, C., Baskurt, A.: Sequential Deep Learning for Human Action Recognition. In: Salah, A.A., Lepri, B. (eds.) HBU 2011. LNCS, vol. 7065, pp. 29–39. Springer, Heidelberg (2011)
Benevenuto, F., Rodrigues, T., Cha, M., Almeida, V.: Characterizing user behavior in online social networks. In: Proceedings of the 9th ACM SIGCOMM Conference on Internet Measurement Conference, pp. 49–62. ACM (2009)
Blei, D., Ng, A., Jordan, M.: Latent Dirichlet allocation. The Journal of Machine Learning Research 3, 993–1022 (2003)
Bogost, I.: Persuasive games: The expressive power of videogames. The MIT Press (2007)
Boyle, E., Connolly, T.M., Hainey, T.: The role of psychology in understanding the impact of computer games. Entertainment Computing 2(2), 69–74 (2011)
Charles, J., Everingham, M.: Learning shape models for monocular human pose estimation from the Microsoft Xbox Kinect. In: Proc. IEEE Workshop on Consumer Depth Cameras for Computer Vision (2011)
Chen, C.-W., Aztiria, A., Ben Allouchinst, S., Aghajan, H.: Understanding the Influence of Social Interactions on Individual’s Behavior Pattern in a Work Environment. In: Salah, A.A., Lepri, B. (eds.) HBU 2011. LNCS, vol. 7065, pp. 149–160. Springer, Heidelberg (2011)
Consolvo, S., Everitt, K., Smith, I., Landay, J.: Design requirements for technologies that encourage physical activity. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 457–466. ACM (2006)
Dura-Bernal, S., Garreau, G., Andreou, C., Andreou, A., Georgiou, J., Wennekers, T., Denham, S.: Human Action Categorization Using Ultrasound Micro-Doppler Signatures. In: Salah, A.A., Lepri, B. (eds.) HBU 2011. LNCS, vol. 7065, pp. 18–28. Springer, Heidelberg (2011)
Eagle, N., Pentland, A.: Reality mining: sensing complex social systems. Personal and Ubiquitous Computing 10(4), 255–268 (2006)
Eagle, N., Pentland, A.S., Lazer, D.: Inferring friendship network structure by using mobile phone data. Proceedings of the National Academy of Sciences 106(36), 15274–15278 (2009)
Fogg, B.J.: Persuasive technologies. Communications of the ACM 42(5), 27–29 (1999)
Fogg, B.J.: The behavior grid: 35 ways behavior can change. In: Proceedings of the 4th International Conference on Persuasive Technology, pp. 42–46. ACM (2009)
Gasser, R., Brodbeck, D., Degen, M., Luthiger, J., Wyss, R., Reichlin, S.: Persuasiveness of a Mobile Lifestyle Coaching Application Using Social Facilitation. In: IJsselsteijn, W.A., de Kort, Y.A.W., Midden, C., Eggen, B., van den Hoven, E. (eds.) PERSUASIVE 2006. LNCS, vol. 3962, pp. 27–38. Springer, Heidelberg (2006)
Gupta, M., Intille, S., Larson, K.: Adding GPS-control to traditional thermostats: An exploration of potential energy savings and design challenges. Pervasive Computing, 95–114 (2009)
Hadid, A.: Analyzing Facial Behavioral Features from Videos. In: Salah, A.A., Lepri, B. (eds.) HBU 2011. LNCS, vol. 7065, pp. 52–61. Springer, Heidelberg (2011)
Hjelm, S.I., Browall, C.: Brainball–using brain activity for cool competition. In: Proceedings of NordiCHI, pp. 177–188 (2000)
Holt, B., Bowden, R.: Putting the pieces together: Connected poselets for human pose estimation. In: Proc. IEEE Workshop on Consumer Depth Cameras for Computer Vision (2011)
Ijsselsteijn, W.: Augmenting Social Interactions: Experiments in Socio-Emotional Computing. In: Salah, A.A., Lepri, B. (eds.) HBU 2011. LNCS, vol. 7065, p. 83. Springer, Heidelberg (2011)
Iso-Ketola, P., Karinsalo, T., Vanhala, J.: Hipguard: A wearable measurement system for patients recovering from a hip operation. In: Second International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2008, pp. 196–199. IEEE (2008)
Jentsch, M., Jahn, M., Pramudianto, F., Simon, J., Al-Akkad, A.: An Energy-Saving Support System for Office Environments. In: Salah, A.A., Lepri, B. (eds.) HBU 2011. LNCS, vol. 7065, pp. 84–93. Springer, Heidelberg (2011)
Kalimeri, K., Lepri, B., Kim, T., Pianesi, F., Pentland, A.: Automatic Modeling of Dominance Effects Using Granger Causality. In: Salah, A.A., Lepri, B. (eds.) HBU 2011. LNCS, vol. 7065, pp. 127–136. Springer, Heidelberg (2011)
Kaptein, M.C., Markopoulos, P., de Ruyter, B., Aarts, E.: Persuasion in ambient intelligence. Journal of Ambient Intelligence and Humanized Computing 1(1), 43–56 (2010)
Kempe, D., Kleinberg, J., Tardos, É.: Maximizing the spread of influence through a social network. In: Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 137–146. ACM (2003)
Keskin, C., Cemgil, A.T., Akarun, L.: DTW Based Clustering to Improve Hand Gesture Recognition. In: Salah, A.A., Lepri, B. (eds.) HBU 2011. LNCS, vol. 7065, pp. 72–82. Springer, Heidelberg (2011)
Keskin, C., Kıraç, F., Kara, Y.E., Akarun, L.: Real time hand pose estimation using depth sensors. In: Proc. IEEE Workshop on Consumer Depth Cameras for Computer Vision (2011)
Kim, T., Olguín, D.O., Waber, B.N., Pentland, A.: Sensor-based feedback systems in organizational computing. In: International Conference on Computational Science and Engineering, CSE 2009, vol. 4, pp. 966–969. IEEE (2009)
Klein, M., Mogles, N., van Wissen, A.: Why Won’t You Do What’s Good For You? Using Intelligent Support for Behavior Change. In: Salah, A.A., Lepri, B. (eds.) HBU 2011. LNCS, vol. 7065, pp. 105–116. Springer, Heidelberg (2011)
Lane, N.D., Miluzzo, E., Lu, H., Peebles, D., Choudhury, T., Campbell, A.T.: A survey of mobile phone sensing. Comm. Mag. 48, 140–150 (2010)
Lee, J., Chao, C., Thomaz, A., Bobick, A.: Adaptive Integration of Multiple Cues for Contingency Detection. In: Salah, A.A., Lepri, B. (eds.) HBU 2011. LNCS, vol. 7065, pp. 62–71. Springer, Heidelberg (2011)
Lepri, B., Salah, A.A., Pianesi, F., Pentland, A.: Human Behavior Understanding for Inducing Behavioral Change: Social and Theoretical Aspects. In: Wichert, R., Van Laerhoven, K., Gelissen, J. (eds.) Constructing Ambient Intelligence: AmI 2011 Workshops (2011)
Madan, A., Cebrian, M., Lazer, D., Pentland, A.: Social sensing for epidemiological behavior change. In: Proceedings of the 12th ACM International Conference on Ubiquitous Computing, Ubicomp 2010, pp. 291–300. ACM, New York (2010)
Madan, A., Farrahi, K., Gatica-Perez, D., Pentland, A.: Pervasive Sensing to Model Political Opinions in Face-to-Face Networks. In: Lyons, K., Hightower, J., Huang, E.M. (eds.) Pervasive 2011. LNCS, vol. 6696, pp. 214–231. Springer, Heidelberg (2011)
Madan, A., Moturu, S.T., Lazer, D., Pentland, A.S.: Social sensing: obesity, unhealthy eating and exercise in face-to-face networks. In: Wireless Health 2010, pp. 104–110. ACM, New York (2010)
Malone, T.W., Lepper, M.R., Handelsman, M.M., Briggs, W.L., Sullivan, N., Towler, A., Bryan-Kinns, N., Healey, P.G.T., Leach, J.: Making learning fun: A taxonomy of intrinsic motivations for learning. Journal of Educational Research 98(3) (2005)
Miluzzo, E., Lane, N.D., Fodor, K., Peterson, R., Lu, H., Musolesi, M., Eisenman, S.B., Zheng, X., Campbell, A.T.: Sensing meets mobile social networks: the design, implementation and evaluation of the CenceMe application. In: Proceedings of the 6th ACM Conference on Embedded Network Sensor Systems, SenSys 2008, pp. 337–350. ACM, New York (2008)
Müller, L., Rivera-Pelayo, V., Kunzmann, C., Schmidt, A.: From Stress Awareness to Coping Strategies of Medical Staff: Supporting Reflection on Physiological Data. In: Salah, A.A., Lepri, B. (eds.) HBU 2011. LNCS, vol. 7065, pp. 94–104. Springer, Heidelberg (2011)
Ni, B., Wang, G., Moulin, P.: RGBD-HuDaAct: A color-depth video database for human daily activity recognition. In: Proc. IEEE Workshop on Consumer Depth Cameras for Computer Vision (2011)
Nijholt, A., Plass-Oude Bos, D., Reuderink, B.: Turning shortcomings into challenges: Brain-computer interfaces for games. Entertainment Computing 1(2), 85–94 (2009)
Oliver, N.: Urban Computing and Smart Cities: Opportunities and Challenges in Modelling Large-Scale Aggregated Human Behavior. In: Salah, A.A., Lepri, B. (eds.) HBU 2011. LNCS, vol. 7065, pp. 16–17. Springer, Heidelberg (2011)
Orrite, C., Rodríguez, M., Montañés, M.: One-Sequence Learning of Human Actions. In: Salah, A.A., Lepri, B. (eds.) HBU 2011. LNCS, vol. 7065, pp. 40–51. Springer, Heidelberg (2011)
Pan, W., Aharony, N., Pentland, A.: Composite social network for predicting mobile apps installation. In: Proc. AAAI (2011)
Petty, R., Cacioppo, J.: The elaboration likelihood model of persuasion. Advances in Experimental Social Psychology 19(1), 123–205 (1986)
Petty, R.E., Wegener, D.T., Fabrigar, L.R.: Attitudes and attitude change. Annual Review of Psychology 48(1), 609–647 (1997)
Raento, M., Oulasvirta, A., Eagle, N.: Smartphones. Sociological Methods & Research 37(3), 426–454 (2009)
Raghavendra, R., Del Bue, A., Cristani, M., Murino, V.: Abnormal Crowd Behavior Detection by Social Force Optimization. In: Salah, A.A., Lepri, B. (eds.) HBU 2011. LNCS, vol. 7065, pp. 137–148. Springer, Heidelberg (2011)
Reitberger, W., Meschtscherjakov, A., Mirlacher, T., Scherndl, T., Huber, H., Tscheligi, M.: A persuasive interactive mannequin for shop windows. In: Proceedings of the 4th International Conference on Persuasive Technology. ACM (2009)
Rozendaal, M., Vermeeren, A., Bekker, T., De Ridder, H.: A Research Framework for Playful Persuasion Based on Psychological Needs and Bodily Interaction. In: Salah, A.A., Lepri, B. (eds.) HBU 2011. LNCS, vol. 7065, pp. 117–126. Springer, Heidelberg (2011)
Salah, A.A., Gevers, T., Sebe, N., Vinciarelli, A.: Challenges of human behavior understanding. In: HBU [53], pp. 1–12 (2010)
Salah, A.A., Gevers, T., Sebe, N., Vinciarelli, A. (eds.): HBU 2010. LNCS, vol. 6219. Springer, Heidelberg (2010)
Schank, R.C., Abelson, R.P.: Scripts, plans, goals and understanding: An inquiry into human knowledge structures. Lawrence Erlbaum Associates (1977)
Schouten, B., Tieben, R., van de Ven, A., Schouten, D.: Human Behavior Analysis in Ambient Gaming and Playful Interaction. In: Salah, A., Gevers, T. (eds.) Computer Analysis of Human Behavior. Springer, Heidelberg (2011)
Schuller, B.: Voice and speech analysis in search of states and traits. In: Salah, A.A., Gevers, T. (eds.) Computer Analysis of Human Behavior, pp. 227–253. Springer, Heidelberg (2011)
Shapovalova, N., Fernández, C., Roca, F.X., González, J.: Semantics of human behavior in image sequences. In: Salah, A.A., Gevers, T. (eds.) Computer Analysis of Human Behavior, pp. 151–182. Springer, Heidelberg (2011)
van Kasteren, T., Noulas, A., Englebienne, G., Kröse, B.: Accurate activity recognition in a home setting. In: Proc. 10th Int. Conf. on Ubiquitous Computing, pp. 1–9. ACM (2008)
Wren, C., Ivanov, Y., Leigh, D., Westhues, J.: The MERL motion detector dataset. In: Proc. 2007 Workshop on Massive Datasets, pp. 10–14. ACM (2007)
Wyatt, D., Choudhury, T., Bilmes, J., Kitts, J.A.: Inferring colocation and conversation networks from privacy-sensitive audio with implications for computational social science. ACM Trans. Intell. Syst. Technol. 2, 7:1–7:41 (2011)
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Salah, A.A., Lepri, B., Pianesi, F., Pentland, A.S. (2011). Human Behavior Understanding for Inducing Behavioral Change: Application Perspectives. In: Salah, A.A., Lepri, B. (eds) Human Behavior Understanding. HBU 2011. Lecture Notes in Computer Science, vol 7065. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25446-8_1
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DOI: https://doi.org/10.1007/978-3-642-25446-8_1
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