Satoshi Nakamura
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Satoshi Nakamura has a total of 58 co-authors. Here are the top co-authors by number of shared publications:
- Yuki Nakagawa
Meiji University, Nakano, Tokyo, Japan
5 shared publications - Shota Yamanaka
LY Corporation
4 shared publications - Akiyuki Kake
Wacom Co. Ltd., Kazo-shi, Saitama, Japan
2 shared publications - Colin M. Gray
UXP2 Lab, Indiana University, Bloomington, Indiana, USA
2 shared publications - Johanna Gunawan
Law and Tech Lab, Maastricht University, Maastricht, Netherlands
2 shared publications - Katie Seaborn
Department of Computer Science and Technology, University of Cambridge, Cambridge, United Kingdom and Department of Industrial Engineering and Economics, Institute of Science Tokyo, Tokyo, Japan
2 shared publications
Latest Publications
- Open Access
- 2 October 2026
- Published by Association for Computing Machinery (ACM)
- p. 1-15
Earlier Seen, More Often Chosen: Image Loading Speed as a Potential Seed of Hidden Manipulation
- 2 October 2026
- Published by Association for Computing Machinery (ACM)
- p. 1-15
Open AccessEarlier Seen, More Often Chosen: Image Loading Speed as a Potential Seed of Hidden Manipulation
- Open Access
- 2 October 2026
- Published by Association for Computing Machinery (ACM)
- p. 1-14
Easy to Hear, Easy to Select?: Investigating Speech Rate as a Potential Deceptive Pattern in Non-Native Users' Decision-Making
- 2 October 2026
- Published by Association for Computing Machinery (ACM)
- p. 1-14
Open AccessEasy to Hear, Easy to Select?: Investigating Speech Rate as a Potential Deceptive Pattern in Non-Native Users' Decision-Making
- Open Access
- 13 April 2026
- Published by Association for Computing Machinery (ACM)
- p. 1-8
Bridge Over Troubled Water: Aligning Commercial Incentives With Ethical Design Practice To Combat Deceptive Patterns
- 13 April 2026
- Published by Association for Computing Machinery (ACM)
- p. 1-8
Open AccessBridge Over Troubled Water: Aligning Commercial Incentives With Ethical Design Practice To Combat Deceptive Patterns
- Open Access
- 13 April 2026
- Published by Association for Computing Machinery (ACM)
- p. 1-18
Drawing Attention: A Field Study of Sketch-Based Penguin Identification for Aquarium Visitor Engagement
- 13 April 2026
- Published by Association for Computing Machinery (ACM)
- p. 1-18
Open AccessDrawing Attention: A Field Study of Sketch-Based Penguin Identification for Aquarium Visitor Engagement
- Open Access
- 13 April 2026
- Published by Association for Computing Machinery (ACM)
- p. 1-22
Improving Data Quality via Pre-Task Participant Screening in Crowdsourced GUI Experiments
In crowdsourced user experiments that collect performance data from graphical user interface (GUI) interactions, some participants ignore instructions or act carelessly, threatening the validity of performance models. We investigate a pre-task screening method that requires simple GUI operations analogous to the main task and uses the resulting error as a continuous quality signal. Our pre-task is a brief image-resizing task in which workers match an on-screen card to a physical card; workers whose resizing error exceeds a threshold are excluded from the main experiment. The main task is a standardized pointing experiment with well-established models of movement time and error rate. Across mouse- and smartphone-based crowdsourced experiments, we show that reducing the proportion of workers exhibiting unexpected behavior and tightening the pre-task threshold systematically improve the goodness of fit and predictive accuracy of GUI performance models, demonstrating that brief pre-task screening can enhance data quality.
- 13 April 2026
- Published by Association for Computing Machinery (ACM)
- p. 1-22
Open AccessImproving Data Quality via Pre-Task Participant Screening in Crowdsourced GUI Experiments
In crowdsourced user experiments that collect performance data from graphical user interface (GUI) interactions, some participants ignore instructions or act carelessly, threatening the validity of performance models. We investigate a pre-task screening method that requires simple GUI operations analogous to the main task and uses the resulting error as a continuous quality signal. Our pre-task is a brief image-resizing task in which workers match an on-screen card to a physical card; workers whose resizing error exceeds a threshold are excluded from the main experiment. The main task is a standardized pointing experiment with well-established models of movement time and error rate. Across mouse- and smartphone-based crowdsourced experiments, we show that reducing the proportion of workers exhibiting unexpected behavior and tightening the pre-task threshold systematically improve the goodness of fit and predictive accuracy of GUI performance models, demonstrating that brief pre-task screening can enhance data quality.
- Open Access
- 11 February 2026
- Published by Elsevier in SSRN Electronic Journal
In-Field Evaluation and Behavioral Analysis of a Drawing-Based Penguin Observation System
Penguins in aquariums and zoos are typically exhibited in groups of several dozen individuals, making it challenging for visitors to notice and observe them as distinct individuals. To transform this passive viewing experience into an engaging and playful activity, we developed an observation support system that enables visitors to identify individual penguins by drawing their abdominal spot patterns. Previous field studies with general aquarium visitors indicated that the system encouraged closer attention to individual penguins and stimulated social interaction. However, these findings relied mainly on qualitative behavioral observations, leaving visitors’ interaction patterns insufficiently quantified. In this study, we enhanced the system with detailed logging functionality and multilingual support, and conducted a new one-week field deployment in an aquarium. By analyzing interaction logs collected from real visitors, we reveal behavioral patterns such as repeated returns to the penguin exhibit within a single day and revisits across multiple days. These results suggest that the system may foster sustained engagement and ongoing interest in individual animals, demonstrating the potential of drawing-based interaction as an entertainment-oriented approach to enriching zoo and aquarium experiences.
- 11 February 2026
- Published by Elsevier in SSRN Electronic Journal
Open AccessIn-Field Evaluation and Behavioral Analysis of a Drawing-Based Penguin Observation System
Penguins in aquariums and zoos are typically exhibited in groups of several dozen individuals, making it challenging for visitors to notice and observe them as distinct individuals. To transform this passive viewing experience into an engaging and playful activity, we developed an observation support system that enables visitors to identify individual penguins by drawing their abdominal spot patterns. Previous field studies with general aquarium visitors indicated that the system encouraged closer attention to individual penguins and stimulated social interaction. However, these findings relied mainly on qualitative behavioral observations, leaving visitors’ interaction patterns insufficiently quantified. In this study, we enhanced the system with detailed logging functionality and multilingual support, and conducted a new one-week field deployment in an aquarium. By analyzing interaction logs collected from real visitors, we reveal behavioral patterns such as repeated returns to the penguin exhibit within a single day and revisits across multiple days. These results suggest that the system may foster sustained engagement and ongoing interest in individual animals, demonstrating the potential of drawing-based interaction as an entertainment-oriented approach to enriching zoo and aquarium experiences.
- Open Access
- 6 December 2025
- Published by Association for Computing Machinery (ACM)
- p. 1-7
Don't Break the Melody: Encouraging Accurate Handwriting Practice with Sound Feedback
- 6 December 2025
- Published by Association for Computing Machinery (ACM)
- p. 1-7
Open AccessDon't Break the Melody: Encouraging Accurate Handwriting Practice with Sound Feedback
- Open Access
- 6 December 2025
- Published by Association for Computing Machinery (ACM)
- p. 1-7
Guiding Task Choice in Japanese Voice Interfaces through Vocalization Cost: Click-based vs. Voice-based Selection
- 6 December 2025
- Published by Association for Computing Machinery (ACM)
- p. 1-7
Open AccessGuiding Task Choice in Japanese Voice Interfaces through Vocalization Cost: Click-based vs. Voice-based Selection
- Open Access
- 28 November 2025
- Published by Association for Computing Machinery (ACM)
- p. 122-135
Reducing Perceived Waiting Time with Peripheral Visual Motion: Directional and Device-Specific Effects
- 28 November 2025
- Published by Association for Computing Machinery (ACM)
- p. 122-135
Open AccessReducing Perceived Waiting Time with Peripheral Visual Motion: Directional and Device-Specific Effects