Best Reviewer Award

Winner: Toshinori Usui, Social Informatics Laboratories, NTT, Inc.

Date: July 14, 2026

Organization: The 24th International Conference on Applied Cryptography and Network Security (ACNS 2026)

For outstanding service to the conference through the quality, thoroughness, and timeliness of their reviews and contribution to maintaining the high scientific standards of ACNS.

Best Paper Runner Up

Winners: Tomohiro Korikawa, Network Service Systems Laboratories, NTT, Inc.; Kyota Hattori, Network Service Systems Laboratories, NTT, Inc.; Chikako Takasaki, Network Service Systems Laboratories, NTT, Inc.; Takaaki Moriya, Network Service Systems Laboratories, NTT, Inc.; Daisuke Ikegami, Network Service Systems Laboratories, NTT, Inc.

Date: July 28, 2026

Organization: The 35th International Conference on Computer Communications and Networks

For “Weather-aware Optical Attenuation Modeling Using Meteorological Data in Non-terrestrial Networks.”

Published as: T. Korikawa, K. Hattori, C. Takasaki, T. Moriya, and D. Ikegami, “Weather-aware Optical Attenuation Modeling Using Meteorological Data in Non-terrestrial Networks,” Proc. of the 35th International Conference on Computer Communications and Networks, Honolulu, Hawaii, USA, July 2026.

Best Paper

Winners: Scinob Kuroki, Communication Science Laboratories, NTT, Inc.; Taiki Fukiage, Communication Science Laboratories, NTT, Inc.; Shin’ya Nishida, Kyoto University/Communication Science Laboratories, NTT, Inc.

Date: July 9, 2026

Organization: EuroHaptics 2026

For “Visualising Human Perception of Tactile Spatial Patterns Using the Method of Reproduction.”

Published as: S. Kuroki, T. Fukiage, and S. Nishida, “Visualising Human Perception of Tactile Spatial Patterns Using the Method of Reproduction,” EuroHaptics 2026, Siena, Italy, July 2026.

Socioeconomic Status Measurement Considering Psychological Resistance to Response: Exploration of Variables Strongly Correlated with Household Income

A. Nakai, H. Higuchi, N. Watanabe, and T. Kobayashi

The Japanese Journal of Personality, Vol. 35, No. 1, pp. 56–59, July 2026.

Annual income, a commonly used indicator of socioeconomic status (SES), often exhibits high non-response rates because respondents are likely to be psychologically reluctant to answer. This study examined variables strongly associated with household income to explore alternative indicators. Four large-scale online surveys were conducted to collect academic history, annual household income, subjective hierarchy, and estimated vocabulary. A total of 38,340 individuals aged 20 to 59 were included in the analysis. The meta-analysis of our four surveys revealed that household income was positively correlated with the other three variables, with subjective hierarchy showing the strongest correlation.

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