Results 21 to 30 of about 552 (120)
To overcome novel challenges in complex domestic environments, humanoid robots can learn from human teachers. We propose that the capability for social interaction should be a key factor in this teaching process and benefits both the subjective ...
Matthias Kerzel +4 more
doaj +1 more source
Virtual as compared with real human characters can elicit a sense of uneasiness in human observers, characterized by lack of familiarity and even feelings of eeriness (the “uncanny valley” hypothesis).
Jari Kätsyri
doaj +1 more source
The Uncanny Valley Hypothesis (UVH) predicts that enhanced difficulty perceptually discriminating between categorically ambiguous human and humanlike characters (e.g., highly realistic robot) evokes negatively valenced (i.e., uncanny) experience.
Marcus eCheetham +2 more
doaj +1 more source
Ethorobotics: A New Approach to Human-Robot Relationship
Here we aim to lay the theoretical foundations of human-robot relationship drawing upon insights from disciplines that govern relevant human behaviors: ecology and ethology.
Ádám Miklósi +4 more
doaj +1 more source
From Confusion to Clarity: A Multi‐Stage Process Framework for Understanding Consumer Confusion
ABSTRACT This paper reconceptualizes consumer confusion as a multi‐stage temporal process rather than a static outcome, addressing theoretical fragmentation in existing antecedent‐consequence models. By integrating cognitive appraisal, contextual amplification, and adaptive coping within a unified framework, we explain how confusion unfolds rather than
Fatih Celik, Erdogan Koc
wiley +1 more source
ABSTRACT Highlighting diversity‐related attributes has become an increasingly prominent marketing communication strategy in virtual influencer endorsement practices. Prior research has largely focused on commercial endorsement contexts, conceptualized diversity as a homogeneous and single‐dimensional construct, and emphasized its predominantly positive
Chi‐Cheng Luan, Su Zhang, I‐Lien Li
wiley +1 more source
Recent developments in neuroimaging research support the increased use of naturalistic stimulus material such as film, animations, or androids. These stimuli allow for a better understanding of how the brain processes information in complex situations ...
Aline W. ede Borst, Beatrice ede Gelder
doaj +1 more source
Graph Neural Network‐Based Prediction of Building Energy Consumption
A graph neural network that encodes a multi‐zone building as a graph accurately predicts hourly cooling and heating loads across three distinct climates, outperforming Random Forest and XGBoost baselines and serving as a fast surrogate to EnergyPlus simulations for scalable building energy management.
Ali Maboudi Reveshti +4 more
wiley +1 more source
Despite rapid growth in the AI endorser market, the psychological mechanisms governing their effectiveness remain theoretically fragmented. This study proposes the AHICC (AI–Human Interface in Consumer Cognition) model—integrating the Stereotype Content ...
Zheng-Jun Jin +3 more
doaj +1 more source
Emotional Valence Influences Empathic Capacity in Adolescence and Young Adulthood
ABSTRACT Introduction Previous research has identified age‐related differences in empathic abilities between adolescence and young adulthood. While cognitive empathy appears to continue to develop from adolescence and into adulthood, the developmental trajectory of affective empathy is less clear.
Alana J. Topsfield, Sarah A. Grainger
wiley +1 more source

