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August 17, 2026
Information
NTT's paper was accepted at the 35th International Joint Conference on Artificial Intelligence (IJCAI-ECAI 2026), which will be held in Bremen, Germany from August 15 to 21st, as one of the top and most prestigious international academic conferences in the field of artificial intelligence. The adopted papers are as follows.
Abbreviated names of the laboratories:
HI: NTT Human Informatics Laboratories
Tomu Tominaga (HI), Naomi Yamashita (Kyoto University), Takeshi Kurashima (HI)
Algorithmic recourse provides counterfactual action plans that help people overturn unfavorable AI decisions. While diverse recourse sets may improve transparency and motivation, they may also impose cognitive load and negative emotions by increasing counterfactual reasoning demands. To examine this trade-off, we conducted a between-subjects controlled experiment (N=750) that manipulated recourse-set diversity and size, and evaluated these effects on psychological benefits and costs. Results show that diversification enhances psychological benefits (e.g., willingness to act) for small sets without incurring additional psychological costs, whereas for large sets, it makes cognitive load more salient. These findings suggest that naively diversifying recourse can burden decision subjects, underscoring the need for new diversification methods that incorporate human cognition and psychology to mitigate such costs.
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