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data-aos-once="true">
<h1 class="section-header">Publications</h1>
</div>
<div class="col section-text">
<div data-aos="fade-up" data-aos-delay="600" data-aos-offset="0"
data-aos-once="true">
<p>Hamanaka, Satoki, et al. “Estimation of User Personality Traits on the Web Using Multi-Task
Learning.” Proceedings of the 24th International Workshop on Mobile Computing Systems and
Applications, 2023, p. 133, https://doi.org/10.1145/3572864.3581580.</p>
<p>羽柴彩月, et al. “ユーザビリティの低下による不快感を用いた SNS 利用に対するセルフコントロール手法.”
情報処理学会論文誌, vol. 64, Apr. 2023, pp. 799–813, https://doi.org/10.20729/00225487.</p>
<p>Sasaki, Wataru, et al. “Large - Scale Estimation and Analysis of Web Users’ Mood from Web Search
Query and Mobile Sensor Data.” Big Data, vol. 0, 2023, p. null,
https://doi.org/10.1089/big.2022.0211.</p>
<p>Katsumata, Kento, et al. “COVIDGuardian: A Machine Learning Approach for Detecting the Three Cs.”
Proceedings of the 12th International Conference on the Internet of Things, 2023, pp. 147–50,
https://doi.org/10.1145/3567445.3569166.</p>
<p>佐々木航, et al. “SFC GO：学生同士の繋がりを支援するオンライン体育授業サポートシステム.”
情報処理学会論文誌デジタルプラクティス（TDP）, vol. 3, no. 1, Jan. 2022, pp. 19–33.</p>
<p>Hamanaka, Satoki, et al. A Comparative Study of CIPN Symptom Estimation Methods Based on Machine
Learning. 2021, p. 4.</p>
<p>Okoshi, Tadashi, et al. “WellComp 2021: Fourth International Workshop on Computing for Well-Being.”
Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous
Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers, ACM, 2021,
pp. 108–11, https://doi.org/10.1145/3460418.3479262.</p>
<p>Sasaki, Wataru, et al. “Investigating the Occurrence of Selfie-Based Emotional Contagion over Social
Network.” Springer, vol. 11, no. 1, 2021, p. 8, https://doi.org/10.1007/s13278-020-00712-0.</p>
<p class="text-center"><a href="https://www.jn.sfc.keio.ac.jp/publication/">すべて表示</a></p>
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<h1 class="text-center"><a target="_blank" rel="noopener noreferrer"
href="http://www.okoshi.org/">slash</a></h1>
<h2 class="text-center">Associate Professor</h2>
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<h2 class="text-center">Proj. Associate Professor</h2>
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href="https://scholar.google.co.jp/citations?hl=ja&user=g6S4qnUAAAAJ">hamachu</a>
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<h2 class="text-center">D1</h2>
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projects_header_2: 'EmoGO',
projects_description_2: "EmoGO is a system that records the objects seen and the emotions recalled by detecting objects in the field of vision by estimating emotions based on eye tracking data. To confirm the effectiveness of the system, user experiments were conducted at Keio University's Shonan Fujisawa Campus and at Samukawa Shrine.",
projects_header_3: 'Customer satisfaction estimation using facial expression analysis',
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projects_header_4: 'Smartphone-based activity and emotion-aware music streaming recommendation system',
projects_description_4: "smartphone-based system that recommends music based on human activities and emotional states. The system has three modules: recognizing activities, detecting emotions, and recommending music. We use machine learning to interpret smartphone signals and collaborative filtering for music recommendations.",
projects_header_5: 'Visualization system for audience sentiment based on comments on live streaming',
projects_description_5: "The system estimates positive and negative sentiments in the comments section of twitch.tv, a live sotreaming platform, and visualizes them. The visualization system is displayed on the streaming service, and the distributors can analyze and improve their own services based on the information. Through these means, we aim to provide viewers with a more authentic and unifying delivery experience.",
projects_header_6: 'Conversation mimicry of specific individuals using LLM fine tuning',
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projects_header_1: 'ライフログサービスにおける行動変容に向けた適応的プッシュ通知',
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