Abstract | ||
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In today's fast-paced environment, humans are faced with various problems such as information overload, stress, health and social issues. So-called anticipatory systems promise to approach these issues through personal guidance or support within a user's daily and professional life.
The Second Workshop on Intelligent Personal Support of Human Behavior (SmartGuidance'17) aims to build on the success of the previous workshop (namely Smarticipation) organized in conjunction with UbiComp 2016, to continue discussing the latest research outcomes of anticipatory mobile systems. We invite the submission of papers within this emerging, interdisciplinary research field of anticipatory mobile computing that focuses on understanding, design, and development of such ubiquitous systems. We also welcome contributions that investigate human behaviors, underlying recognition and prediction models; conduct field studies; as well as propose novel HCI techniques to provide personal support. All workshop contributions will be published in supplemental proceedings of the UbiComp 2017 conference and included in the ACM Digital Library.
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Year | DOI | Venue |
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2017 | 10.1145/3123024.3124457 | UbiComp '17: The 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing
Maui
Hawaii
September, 2017 |
Keywords | Field | DocType |
anticipatory mobile computing, personal assistance, mobile sensing, pervasive environment, ubiquitous devices | Data science,Mobile computing,Mobile sensing,Ubiquitous systems,Information overload,Social issues,Computer science,Human–computer interaction,Human behavior,Ubiquitous computing,Digital library,Embedded system | Conference |
ISBN | Citations | PageRank |
978-1-4503-5190-4 | 0 | 0.34 |
References | Authors | |
8 | 8 |
Name | Order | Citations | PageRank |
---|---|---|---|
Christian Meurisch | 1 | 43 | 12.28 |
Usman Naeem | 2 | 116 | 15.31 |
Philipp Scholl | 3 | 54 | 18.12 |
Muhammad Awais Azam | 4 | 178 | 24.45 |
Sebastian Günther | 5 | 84 | 13.27 |
Baumann, Paul | 6 | 1 | 1.70 |
Shafiq Ur Réhman | 7 | 284 | 29.26 |
Max Mühlhäuser | 8 | 1652 | 252.87 |