Proactive ambient social media for supporting human decision making

Tatsuo Nakajima, Tetsuo Yamabe, Mizuki Sakamoto

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    3 Citations (Scopus)

    Abstract

    Since our daily life is becoming more and more complex, it is difficult to make a decision for a variety of occurrences in our daily life. Of course, the Internet gives us a possibility to reactively find necessary information through search engines or browsing hyperlinks among Web pages. But, it requires users understand what they like to know and what they should do for finding the currently necessary information. Also, they need great efforts to collect a set of necessary information reactively for making their decisions. It requires us always continue to be rational to think consciously with heavy cognitive load. If users receive necessary information proactively using information technologies, it is helpful to make reasonable decisions without heavy cognition, and their daily lives will become less stressful and more pleasurable due to desirable decision making. We are developing several case studies to support the user's decision making in our daily life by returning necessary information proactively, and the information is embodied into our daily environment to avoid information overload. This paper shows two case studies and analyzes them to make our daily life more desirable. The purpose of the analysis is to understand the current status of proactive ambient social media and to identify a set of future challenges.

    Original languageEnglish
    Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Pages25-39
    Number of pages15
    Volume6905 LNCS
    DOIs
    Publication statusPublished - 2011
    Event8th International Conference on Ubiquitous Intelligence and Computing, UIC 2011 - Banff, AB
    Duration: 2011 Sep 22011 Sep 4

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume6905 LNCS
    ISSN (Print)03029743
    ISSN (Electronic)16113349

    Other

    Other8th International Conference on Ubiquitous Intelligence and Computing, UIC 2011
    CityBanff, AB
    Period11/9/211/9/4

    Fingerprint

    Social Media
    Decision making
    Decision Making
    Necessary
    Search engines
    Information technology
    Websites
    Internet
    Cognitive Load
    Overload
    Cognition
    Browsing
    Human
    Information Technology
    Search Engine
    Continue
    Life

    Keywords

    • Ambient Social Media
    • Decision Making
    • Design Methodology
    • Harmonizing Virtual and Real World
    • Interaction Design
    • Persuasive Technologies
    • Psychological and Design Theories

    ASJC Scopus subject areas

    • Computer Science(all)
    • Theoretical Computer Science

    Cite this

    Nakajima, T., Yamabe, T., & Sakamoto, M. (2011). Proactive ambient social media for supporting human decision making. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6905 LNCS, pp. 25-39). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6905 LNCS). https://doi.org/10.1007/978-3-642-23641-9_5

    Proactive ambient social media for supporting human decision making. / Nakajima, Tatsuo; Yamabe, Tetsuo; Sakamoto, Mizuki.

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6905 LNCS 2011. p. 25-39 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6905 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Nakajima, T, Yamabe, T & Sakamoto, M 2011, Proactive ambient social media for supporting human decision making. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 6905 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6905 LNCS, pp. 25-39, 8th International Conference on Ubiquitous Intelligence and Computing, UIC 2011, Banff, AB, 11/9/2. https://doi.org/10.1007/978-3-642-23641-9_5
    Nakajima T, Yamabe T, Sakamoto M. Proactive ambient social media for supporting human decision making. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6905 LNCS. 2011. p. 25-39. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-23641-9_5
    Nakajima, Tatsuo ; Yamabe, Tetsuo ; Sakamoto, Mizuki. / Proactive ambient social media for supporting human decision making. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6905 LNCS 2011. pp. 25-39 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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