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ORCIDHidetsugu Suto
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2020 – today
- 2024
[c19]Masateru Tsunoda, Shohei Sinto, Takeshi Yamada, Hidetsugu Suto:
Assuring Data Integrity on Commercial Gamification Software Considering Productivity: an Industrial Case Study. ISSRE (Workshops) 2024: 115-116- 2023
- [c18]Masateru Tsunoda, Hidetsugu Suto, Takeshi Yamada:
Toward Enhancing Software Developers' Persuasion and Engagement in Gamification. APSEC 2023: 564-568 - 2022
- [j6]Stefan Baar, Yosuke Kobayashi
, Tatsuro Horie, Kazuhiko Sato, Hidetsugu Suto, Shinya Watanabe:
Non-destructive Leaf Area Index estimation via guided optical imaging for large scale greenhouse environments. Comput. Electron. Agric. 197: 106911 (2022) - 2021
- [c17]Kosei Furukawa, Madoka Takahara, Hidetsugu Suto:
Research on Supporting an Operator's Control for OriHime as a Telepresence Robot. HCI (5) 2021: 364-372 - 2020
- [j5]Tanapun Srichanthamit, Hidetsugu Suto:
A mathematical model for a framework of a supporting system for international trade transaction. J. Comput. Appl. Math. 375: 112810 (2020)
2010 – 2019
- 2018
- [c16]Kazuhiko Sato, Yosuke Kobayashi, Takeshi Shibata, Hidetsugu Suto, Shinya Watanabe, Shun Hattori, Sato Saga:
A Practice for Training IT Engineers by Combining Two Different Types of PBL. ACIIDS (2) 2018: 159-168 - 2017
- [c15]Hidetsugu Suto, Shuichi Miyo:
A Support System for Vitalizing Brainstorming with Related Images. HCI (4) 2017: 528-538 - [c14]Hidetsugu Suto, Jun Maeda, Patchanee Patitad:
A Personal Relationship Analyzing Tool Based on Psychodrama Methodologies. HCI (4) 2017: 614-622 - 2015
- [j4]Patchanee Patitad, Hidetsugu Suto:
A modeling of collaboration mechanism of design process based on Channel Theory. J. Robotics Netw. Artif. Life 2(1): 46-49 (2015) - [c13]Hidetsugu Suto, Patchanee Patitad:
A representation model of collaboration in design process. ASCC 2015: 1-5 - [c12]Patchanee Patitad, Hidetsugu Suto:
Representation Model of Collaboration Mechanism with Channel Theory. HCI (5) 2015: 511-521 - 2014
- [c11]Hidetsugu Suto, Makiba Sakamoto:
Developing an Education Material for Robot Literacy. HCI (13) 2014: 99-108 - [c10]Hidetsugu Suto, Patchanee Patitad, Namgyu Kang:
A Collaboration Support Tool for Multi-cultural Design Team Based on Extended ADT Model. HCI (12) 2014: 548-557 - 2013
- [c9]Hidetsugu Suto, Ruediger Oehlmann:
A Study of the Crossroad Game for Improving the Teamwork of Students. HCI (15) 2013: 126-136 - [c8]Namgyu Kang, Hidetsugu Suto:
How to Observe, Share and Apply in Design Process? - Focusing on International Design Workshops as a Case Study. HCI (9) 2013: 498-505 - 2011
- [c7]Hidetsugu Suto, Makiba Sakamoto:
Local Communication Media Based on Concept of Media Biotope. HCI (12) 2011: 396-402 - 2010
- [j3]Makiba Sakamoto, Hidetsugu Suto, Masahiro Sawai:
Relation between impressions of a touch panels' coloration and operation. Artif. Life Robotics 15(3): 335-340 (2010) - [c6]Hidetsugu Suto:
Media biotope: Media designing analogous with biotope. CISIM 2010: 75-80
2000 – 2009
- 2009
- [c5]Hidetsugu Suto, Hiroshi Kawakami, Osamu Katai:
Influences of Telops on Television Audiences' Interpretation. HCI (3) 2009: 670-678 - [c4]Makiko Okita, Yuki Nakaura, Hidetsugu Suto:
Non-verbal Communication System Using Pictograms. HCI (2) 2009: 720-724 - 2007
- [c3]Hidetsugu Suto, Hiroshi Kawakami, Hisashi Handa:
A Study of Information Flow Between Designers and Users Via Website Focused on Property of Hyper Links. HCI (8) 2007: 189-198 - 2003
- [c2]Hiroshi Kawakami, Ryosuke Akinaga, Hidetsugu Suto, Osamu Katai:
Translating Novelty of Business Model into Terms of Modal Logics. Australian Conference on Artificial Intelligence 2003: 821-832 - 2002
- [j2]Osamu Katai, Hiroshi Kawakami, Hidetsugu Suto, Kentaro Toda:
Symbiotic artifact design by bioinformatic and multimodal frameworks. Artif. Life Robotics 6(4): 215-220 (2002) - 2000
- [j1]Norio Baba, Hidetsugu Suto:
Utilization of artificial neural networks and the TD-learning method for constructing intelligent decision support systems. Eur. J. Oper. Res. 122(2): 501-508 (2000) - [c1]Norio Baba, Hidetsugu Suto:
Utilization of Artificial Neural Networks and Gas for Constructing an Intelligent Sales Prediction System. IJCNN (6) 2000: 565-570
Coauthor Index
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