中澤 仁 (ナカザワ ジン)

Nakazawa, Jin

写真a

所属(所属キャンパス)

環境情報学部 (湘南藤沢)

職名

教授

 

論文 【 表示 / 非表示

  • Investigating the occurrence of selfie-based emotional contagion over social network

    Sasaki W., Nishiyama Y., Okoshi T., Nakazawa J.

    Social Network Analysis and Mining (Social Network Analysis and Mining)  11 ( 1 )  2021年12月

    ISSN  18695450

     概要を見る

    Happiness is obviously one of the most fundamental essence that affects many aspects of our lives. Past research found that happiness of one person affects that of other people. What occurs under this propagation of emotion is called “emotional contagion,” a phenomenon wherein through perception, people experience the same emotion expressed by someone when communicating with them. Although online communication is increasing due to growth of mobile computing, emotional contagion on online communication is not well studied yet. Particularly, it is not yet clear if emotional contagion among people occurs through selfie photographs posted on the social network media. We implemented “SmileWave,” the social networking system for investigating selfie-based emotional contagion. The key feature of SmileWave is detecting “smile degree” in user’s posting selfies and in reactive facial expressions when the user is viewing the posted photographs from others. Our in-the-wild user studies with 38 participants for 2 weeks revealed the occurrence of selfie-based emotional contagion over the social network, based on the results that the users’ smile degree improved (15% on average) when the user looked at posted selfie photographs.

  • Search Wandering Score: Predicting Timings of Online Shopping based on Wandering in User's Web Search Queries

    Tsubouchi K., Sasaki W., Okoshi T., Nakazawa J.

    Proceedings - 2020 IEEE International Conference on Big Data, Big Data 2020 (Proceedings - 2020 IEEE International Conference on Big Data, Big Data 2020)     1681 - 1688 2020年12月

    ISSN  9781728162515

     概要を見る

    Many researchers and companies have engaged in estimating users' interests so that an online shopping system can tell what he/she wants now. This paper tackles the next challenge in online shopping, i.e., predicting the times that users go shopping online. To predict the timing of online shopping, we focus on wandering behavior in web search activities and propose a search wandering score (SWS). Online shopping behavior can be categorized into three states: wandering shop-ping, focused shopping, and others. Wandering shopping is a state in which users make purchases in high SWS situations; focused shopping is a state in which users buy things in low SWS situations. Unlike previous studies, our work is based on an analysis of large-scale data containing shopping and search logs produced by approximately 200,000 users of a real web portal site for over a year. The results of an extensive evaluation show that our methodology can predict user's future shopping behavior types with 86% accuracy. This research is the first step towards understanding the relationship between users' mental states and their online shopping behavior.

  • A mobility-aware pub/sub architecture for short-lived data in smart cities: Poster abstract

    Kawasaki T., Okoshi T., Nakazawa J.

    SenSys 2020 - Proceedings of the 2020 18th ACM Conference on Embedded Networked Sensor Systems (SenSys 2020 - Proceedings of the 2020 18th ACM Conference on Embedded Networked Sensor Systems)     645 - 646 2020年11月

    ISSN  9781450375900

     概要を見る

    With an increase in the number of IoT devices, the amount of data transferred between the devices and applications is becoming huge. To ensure that these data are properly used, a new IoT data transfer system is needed to better control the timing and the content of the data to transmit. One of the promising means for such a large-scale city-data transfer is the publish/subscribe messaging model, which can separate data senders and receivers so that they can run independently. However, existing pub/sub systems cannot cope well with the mobility of senders and receivers, thereby limiting its applicability to real-world uses. In concrete, they don't consider Time-to-live (TTL) of data. Users can use the data anytime and within TTL of it. IoT platforms can improve controlling data transmission by used to this characteristic. In this paper, we focus on the Time-to-Live of data (data-TTL). Our system can control data transmission by using data-TTL and combine with the user's movement information. We have constructed a system, that is capable of control data transmission for mobility aware.

  • Behavification: Bypassing human's attentional and cognitive systems for automated behavior change

    Okoshi T., Sasaki W., Nakazawa J.

    UbiComp/ISWC 2020 Adjunct - Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers (UbiComp/ISWC 2020 Adjunct - Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers)     692 - 695 2020年09月

    ISSN  9781450380768

     概要を見る

    To achieve behavior change in our lives for several specific goals towards better well-being, various types intervention systems have been proposed. However, because of humans' bounded rationality, such explicit information provision for the users do not always reach their attention, thus fails the needed information for the behavior change. This paper propose new concepts "behavification"with which information system bypasses the user's cognitive, attentional and perceptive system by not notifying him/her and modifies the system behavior to directly influence the user's behavior under user's explicit advance permission. Through a series of group discussion and survey sessions with 19 participants, we investigated how the potential behavification users see its appropriateness to different application categories, killer application scenarios, and design guidelines and rationales for a behavification system to support such scenarios. We found total 58 application scenarios and propose 3 guidelines "advance user permission", "multi-modality"and "integration with real-world action/actuation".

  • Estimating symptoms caused by CIPN using mobile and wearable devices

    Sasaki W., Ozawa R., Okoshi T., Nakazawa J., Yagasaki K., Komatsu H.

    UbiComp/ISWC 2020 Adjunct - Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers (UbiComp/ISWC 2020 Adjunct - Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers)     696 - 699 2020年09月

    ISSN  9781450380768

     概要を見る

    Chemotherapy-induced peripheral neuropathy (CIPN) is a common side effect of anticancer drugs that causes muscle weakness in the cancer patients, causing them to fall. Therefore, we constructed "FD-AWARE", a system to understand the users' fall context and users' CIPN symptoms as the first step in preventing these falls. This system can collect the various sensor data from the iPhone and the Apple Watch, self-reported fall information data, self-reported user status data of CIPN symptoms, and their physical condition. We conducted a 2-week in-the-wild experiment with 8 patients who were actually suffering from CIPN. We constructed the machine learning models for estimating the users' status of CIPN symptoms and successfully achieved high accuracy of performance for several estimating models.

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KOARA(リポジトリ)収録論文等 【 表示 / 非表示

総説・解説等 【 表示 / 非表示

競争的資金等の研究課題 【 表示 / 非表示

  • クラウド側とエッジ側機器の動的な協調に基づく自律分散共進化AI基盤技術の研究開発

    2019年04月
    -
    2023年03月

    文部科学省・日本学術振興会, 科学研究費助成事業, 中澤 仁, 基盤研究(B), 補助金,  代表

 

担当授業科目 【 表示 / 非表示

  • 研究会A

    2021年度

  • 修士研究会

    2021年度

  • プログラミング言語総合講座

    2021年度

  • データ獲得法

    2021年度

  • 特別研究

    2021年度

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所属学協会 【 表示 / 非表示

  • 日本ソフトウエア科学会, 

    2019年04月
    -
    継続中
  • Association for Computing Machinery, 

    2017年04月
    -
    継続中
  • 電子情報通信学会, 

    2013年10月
    -
    継続中
  • Institute of Electrical and Electronics Engineers, 

    2010年
    -
    継続中
  • 情報処理学会, 

    2006年04月
    -
    継続中

委員歴 【 表示 / 非表示

  • 2021年04月
    -
    2023年03月

    情報処理学会ユビキタスコンピューティングシステム研究会主査

  • 2019年05月
    -
    2023年04月

    電子情報通信学会センサネットワークとモバイルインテリジェンス研究専門委員会委員

  • 2019年04月
    -
    2023年03月

    日本ソフトウエア科学会編集委員

  • 2017年
    -
    継続中

    Associate Editor, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, ACM