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Design Case study

Smart Notification System

Reduce the number of interruptions generated by smartphones
by
Vivek Paul Joseph and Prof. Jayesh Pillai
IDC, IIT Bombay
Links
 
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References:

• Julie Aranda, Noor Ali-Hasan, and Safia Baig. 2016. I’m just trying to survive: an ethnographic look at mobile notifications and attention management. In Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct (MobileHCI ‘16). ACM, New York, NY, USA, 564-574. DOI:
https://doi.org/10.1145/2957265.2957274

• Martin Pielot, Karen Church, and Rodrigo de Oliveira. 2014. An insitu study of mobile phone notifications. In Proceedings of the 16th international conference on Human-computer interaction with mobile devices & services (MobileHCI ‘14).
ACM, New York, NY, USA, 233-242. DOI:
http://dx.doi.org/10.1145/2628363.2628364

• Joel E. Fischer, Chris Greenhalgh, and Steve Benford. 2011. Investigating episodes of mobile phone activity as indicators of opportune moments to deliver notifications. In Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services (MobileHCI ‘11). ACM, New York, NY, USA, 181-190. DOI=
http://dx.doi.org/10.1145/2037373.2037402

• Jeremiah Smith, Anna Lavygina, Jiefei Ma, Alessandra Russo, and Naranker Dulay. 2014. Learning to recognise disruptive smartphone notifications. In Proceedings of the 16th international conference on Human-computer interaction with mobile devices & services (MobileHCI ‘14). ACM, New York, NY, USA, 121-124. DOI:
http://dx.doi.org/10.1145/2628363.2628404

• Hugo Lopez-Tovar, Andreas Charalambous, and John Dowell. 2015. Managing Smartphone Interruptions through Adaptive Modes and Modulation of Notifications. In Proceedings of the 20th International Conference on Intelligent User Interfaces (IUI ‘15). ACM, New York, NY, USA, 296-299. DOI=10.1145/2678025.2701390
http://doi.acm.org/10.1145/2678025.2701390

• Veljko Pejovic and Mirco Musolesi. 2014. InterruptMe: designing intelligent prompting mechanisms for pervasive applications. In Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp ‘14).
ACM, New York, NY, USA, 897- 908. DOI=
http://dx.doi.org/10.1145/2632048.2632062

• Ray, S., Shaikh, F., Srivastava, T., & Kashyap, S. (2017, January 31). Essentials of Machine Learning Algorithms (with Python and R Codes). Retrieved Mar 12, 2017, from
https://www.analyticsvidhya.com/blog/2015/08/common-machine-learning-algorithms

• Supervised learning¶. (n.d.). Retrieved March 12, 2017, from
http://scikit-learn.org/stable/supervised_learning.html#supervised-learning

• SungHyuk Yoon, Sang-su Lee, Jae-myung Lee, and KunPyo Lee. 2014.
Understanding notification stress of smartphone messenger app. In CHI ‘14 Extended Abstracts on Human Factors in Computing Systems (CHI EA ‘14). ACM, New York, NY, USA, 1735-1740. DOI:
https://doi. org/10.1145/2559206.2581167

• Jeremiah Smith and Naranker Dulay. 2014. Ringlearn: Long-term mitigation of disruptive smartphone interruptions. In Pervasive Computing and Communications Workshops (PERCOM Workshops), 2014. IEEE International Conference on, IEEE (2014), 27–35.

• Fisher and Simmons. 2011. Smartphone interruptibility using density-weighted uncertainty sampling with reinforcement learning. In Machine Learning and Applications and Workshops (ICMLA), 2011. 10th International Conference on, vol. 1, IEEE (2011), 436–441.

• SungHyuk Yoon, Sang-su Lee, Jae-myung Lee, and KunPyo Lee. 2015. A Study On Notification System Design Of Smartphone Messenger Considering The User’s Stress. Archives of Design Research 28.2 (2015): 75. Web.

• Kotsiantis, S. B., Zaharakis, I., & Pintelas, P. (2007). Supervised machine learning: A review of classification techniques.

Other Links:
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 Useful resource e-links related to 'Interaction Design'
• Interaction Design at IDC IIT Bombay

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