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MCSS '19: Proceedings of the 5th ACM Workshop on Mobile Systems for Computational Social Science
ACM2019 Proceeding
Publisher:
  • Association for Computing Machinery
  • New York
  • NY
  • United States
Conference:
MobiSys '19: The 17th Annual International Conference on Mobile Systems, Applications, and Services Seoul Republic of Korea 21 June 2019
ISBN:
978-1-4503-6777-6
Published:
12 June 2019
Sponsors:
In-Cooperation:

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Abstract

It is our great pleasure to welcome you to the 5th edition of the ACM Workshop on Mobile Systems for Computational Social Science (MCSS 2019). We are very pleased to present MCSS to you after a gap of couple of years.

MCSS brings together researchers working at computer science and social sciences to explore and discuss recent advances, radical ideas, and hands-on experiences in designing and evaluating new types of mobile systems and advancing social science studies.

We are excited to have curated a high-quality program, which includes the following:

  • 2 keynote talks by very distinguished and internationally renowned faculty: Prof. Tarek Abdelzaher (UIUC) and Prof. Yong-Chan Kim (Yonsei University)

  • 1 Invited talk by Dr. Jong Gun Lee (Ground X)

  • 6 refereed papers that will address various technologies, including mobile sensing, social sensing, wellbeing and social interactions.

True to the spirit of MCSS, the talks and papers reflect a breath of topics that cover both computing and systems aspects, as well as broader aspects of human-human and human-business interaction. We are also pleased to note the geographical diversity of the program, which includes speakers and authors from Korea, the UK, Singapore and USA, and also span both academia and industry.

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SESSION: Workshop Papers
research-article
On Hyper-local Conversational Agents in Urban Settings

Conversational agents are increasingly becoming digital partners in our everyday computational experiences. Although rich, and fresh in content, these agents are completely oblivious to users' locality beyond geospatial weather and traffic conditions. ...

research-article
Evaluating Machine Learning Algorithms for Prediction of the Adverse Valence Index Based on the Photographic Affect Meter

In recent years, numerous studies have explored the use of machine learning algorithms for supporting applications in social and clinical psychology. In particular, there is an increasing prevalence of smartphone-based techniques for collecting data ...

research-article
A Semantic and Social Structure of Platform Business

The platform business has had a profound impact on traditional industries such as real estate, telecommunications, and retail. It is a type of business that makes the most of the potential of the network effect. The authors conducted the current ...

research-article
How Notification Queues Contain Hidden Natural Experiments

Randomized experiments, or A/B tests are used to estimate the causal impact of a feature on the behavior of users by creating two parallel universes in which members are simultaneously assigned to treatment and control. However, it is not always ...

research-article
Mom, I see You Angry at Me! Designing a Mobile Service for Parent-child Conflicts by In-situ Emotional Empathy

While having a child is a real blessing, raising the child may require parents to continuously resolve day-to-day conflicts with their child. In this paper, we examine the possibility of a mobile service to help parents deal with the moment of conflict ...

research-article
Exploratory Analysis of Individuals' Mobility Patterns and Experienced Conflicts in Workgroups

Much research argues the importance of supporting social interactions in teams and communities. The field of mobile sensing alone offers significant advances in recording and understanding human and group behaviours. However, little is known about ...

Contributors
  • Singapore Management University
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