The paper refines and empirically tests the Artificial Personality Model (APM), a hybrid framework that blends human‑centred and machine‑specific personality dimensions for conversational agents. Using three experiments with 395 participants, the authors operationalised the model with the Artificial Personality Questionnaire (APQ), finding that some human traits (e.g., agreeableness, conscientiousness) partially transfer while others (e.g., extraversion) do not, and identified new machine‑specific dimensions. The APQ showed promising psychometric properties, whereas the BFI‑2 performed poorly, and manipulations of artificial personality significantly affected user satisfaction, continuous use intention, and social presence.
By Alexander Dregger, Barbarella Petz, Erik Kuhn, Pia Volk, Andreas Oberweis, Stefan Hillmann, Jannik Str\"otgen
arXiv:2607. 02539v1 Announce Type: cross Abstract: Digital platforms commonly optimize for satisfaction using signals such as ratings, likes, and sentiment, implicitly treating satisfaction as a proxy for user well-being.
By Aaron Marker, Joel Lehman, H. Andrew Schwartz
arXiv:2607. 14436v1 Announce Type: cross Abstract: This study investigated the public acceptance of Society of Automotive Engineers Level 3 conditionally automated cars, which can self-drive under certain specified conditions but require the human driver to remain ready to resume control when requested.
By Antonios Saravanos (New York University)
arXiv:2412.12144v5 Announce Type: replace-cross
Abstract: Personality assessment through situational judgment tests (SJTs) offers unique advantages over traditional Likert-type self-report scales, ye...
By Chang-Jin Li, Jiyuan Zhang, Yun Tang, Jian Li
arXiv:2605. 20198v2 Announce Type: replace-cross Abstract: Augmented analytics has transformed how Business Intelligence (BI) systems support decision-making, shifting non-technical managers from manual analysis toward dependence on automated insights.
By Thuy Pham Thi Phuong, Hieu Vu Le Trung, Ha Nguyen Manh, Ngan Nguyen Thi Thuy, Lan Hoang Thi
arXiv:2606. 18258v1 Announce Type: cross Abstract: Large language models (LLMs) exhibit a wide range of human-like behaviors, from expressing thoughts and emotions, to engaging in relationship-building with users, to refusing requests and maintaining boundaries.
By Sunnie S. Y. Kim, Margit Bowler, Leon A Gatys