Results 91 to 100 of about 10,667,797 (206)

Model Fitting for Uncanny Valley Effect in Japan Exp. 1-A

open access: yes, 2022
The Uncanny Valley Effect (UVE) refers to the low affinity towards robots that do not perfectly resemble humans (Mori, 1970). Tu, Chien, and Yeh (2020) observed no UVE for older adults using existent robot pictures.
Te-Chi Huang   +3 more
core   +1 more source

Realness of face images can be decoded from non-linear modulation of EEG responses

open access: yesScientific Reports
Artificially created human faces play an increasingly important role in our digital world. However, the so-called uncanny valley effect may cause people to perceive highly, yet not perfectly human-like faces as eerie, bringing challenges to the ...
Yonghao Chen   +8 more
doaj   +1 more source

Humane by design: Toward safe, human‐centered multi‐agent systems

open access: yesAI Magazine, Volume 47, Issue 4, Winter 2026.
Abstract Multi‐agent systems (MAS) are helping to unleash AI from the solitary confinement of standalone applications so they can perform coordinated actions in the wider world, functioning within distributed networks of people, tools, and other agents.
Jeffrey M. Bradshaw   +5 more
wiley   +1 more source

Moral Uncanny Valley – a replication study

open access: yes
The primary objective of this study is to investigate if moral evaluations could be influenced by what has been referred to as the "Moral uncanny valley effect." This effect states that humans and non-uncanny robots in the same way see moral judgments ...
Yulie Harbers
core   +1 more source

The uncanny valley hypothesis and the model’s prediction.

open access: yes, 2015
The solid blue line indicates the uncanny valley effect. The red dashed line shows the model’s prediction for children with ASD.
Yuki Ueyama (798152)
core   +1 more source

Would you rely on an eerie agent? A systematic review of the impact of the uncanny valley effect on trust in human-agent interaction

open access: yesComputers in Human Behavior Reports
Trust is a fundamental component of human-agent interaction. As artificial agents become more common in daily life, it is essential to understand how people perceive and trust them.
Ahdiyeh Alipour   +2 more
doaj   +1 more source

Understanding Algorithm Discounting in Artificial Intelligence Recommendations: Matching Anthropomorphic Agents to Consumer Goals

open access: yesPsychology &Marketing, Volume 43, Issue 12, Page 3390-3409, December 2026.
ABSTRACT Despite the proliferation of artificial intelligence (AI) in marketing, consumers often exhibit algorithm discounting—a tendency to evaluate AI‐generated recommendations less favorably than those from humans. Focusing on consumption goals, this study investigates how anthropomorphic AI agents (virtual assistants vs.
Jiayue Huang   +4 more
wiley   +1 more source

When Luxury Brands Meet Artificial Intelligence: How Brand Longevity Shapes Consumer Responses to AI‐Designed Products

open access: yesPsychology &Marketing, Volume 43, Issue 12, Page 3602-3620, December 2026.
ABSTRACT Artificial intelligence (AI) is transforming branding, extending to core creative functions such as product design. This raises a broader question of when adopting a new technology coheres with a brand. This tension is most acute in the luxury sector, which is deeply symbolic and historically resistant to technology adoption.
Olga Nechaeva, Valentina Mazzoli
wiley   +1 more source

Ruins in the Field: Materiality, Spectres and Pluritemporal Encounters of the Oxford University Arctic Expedition

open access: yesTransactions of the Institute of British Geographers, Volume 51, Issue 4, December 2026.
Short Abstract This paper contributes to conceptual debates on ruins by generating novel insights into how encounters with the haunted materialities of ruins in the field inform (post)colonial trajectories of exploration. Empirically, it examines how material and spectral traces of past lives in the field, alongside play with categories of absence and ...
Johanne M. Bruun
wiley   +1 more source

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