COVID-19のパンデミックによりテレワークは社会に広がり，テレワークに伴う行動変容の受け止め方は人によって異なっている．我々は行動変容とその受け止め方の間の異質性を調査する目的でPLSAによりアンケート回答者の分類を行い，性格系セグメントより行動変容と受け止め方を説明するベイジアンネットワークを探索した．性格系セグメントと行動変容の間には関連性が見られ，人と会って疲れる人には弁当の購入の増加，実績がないことにわくわくする人には勉強や筋トレの開始，親しい友人と交流がある人には家族団らんの時間の増加，成し遂げたことが認められるのが大切な人には外食の減少といった行動変容が見られた．

Teleworking has spread in the society due to the pandemic of COVID-19. Teleworking changed people's behavior, and the perception of the behavioral changes differed from person to person. For the purpose of investigating the heterogeneity between behavioral changes and their perceptions, we classified the questionnaire respondents by PLSA and searched for a Bayesian network that explains behavioral changes and their perceptions with personality segments. There was an association between personality segments and behavioral changes: those who are tired of meeting people increased the use of take-out lunches, those who are excited about what they have never done started studying and muscle training, those who interact with close friends increased family time, and those who value the recognition of their accomplishments decreased eating out.