Janet Hui-Wen Hsiao
Biographic Data
| ID | 1861371 |
|---|---|
| NAME | Janet Hui-Wen Hsiao |
| GIVEN NAMES | Janet Hui-Wen |
| FAMILY NAME | Hsiao |
| SIGNATURE | HSIAO J H |
| AFFILIATIONS | University of Hong Kong |
| ORCID | 0000-0003-2271-8710 |
| VERIFIED | Yes |
| TOTAL WORKS | 16 |
| TOTAL CITATIONS | 3 |
| AUTHOR COUNT | 16 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2006 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Rethinking explainable AI: The gap between saliency-based explanation and user understanding for object detection models
Comparability between AI and human cognition and its role in psychological research and AI ethics
With the advances in AI technology, comparison studies between humans and AI can not only enhance our understanding of information processing mechanisms underlying human cognition but also facilitate our understanding of AI systems' behaviour and interactions with humans. In particular, explainable AI (XAI) methods, including both computational and experimental methods, can be used to reveal the mechanisms underlying AI's behaviour and its intera…
From barriers to benefits: A personalized sleep intervention enhances sleep duration and emotional health in chronic short sleepers
This pilot study evaluated a personalized sleep intervention incorporating motivational interviewing techniques to address sleep barriers, along with tailored sleep hygiene and extension for chronic short sleepers. Eleven university students completed a 14‐day sequential intervention (baseline, sleep hygiene and a combined phase adding 90‐min extension), assessed via actigraphy, daily diaries, ecological momentary assessments and qualitative inte…
Measuring the semantic priming effect across many languages
Jobs-housing balance and travel patterns among different occupations as revealed by Hidden Markov mixture models: The case of Hong Kong
Explanation strategies in humans versus current explainable artificial intelligence: Insights from image classification
Explainable AI (XAI) methods provide explanations of AI models, but our understanding of how they compare with human explanations remains limited. Here, we examined human participants' attention strategies when classifying images and when explaining how they classified the images through eye‐tracking and compared their attention strategies with saliency‐based explanations from current XAI methods. We found that humans adopted more explorative att…
On becoming socially anxious: Toddlers’ attention bias to fearful faces
Early attention bias to threat-related negative emotions may lead children to overestimate dangers in social situations. This study examined its emergence and how it might develop in tandem with a known predictor namely temperamental shyness for toddlers' fear of strangers in 168 Chinese toddlers. Measurable individual differences in such attention bias to fearful faces were found and remained stable from age 12 to 18 months. When shown photos of…
Visual attention to own- versus other-race faces: Perspectives from learning mechanisms and task demands
Multiple factors have been proposed to contribute to the other-race effect in face recognition, including perceptual expertise and social-cognitive accounts. Here, we propose to understand the effect and its contributing factors from the perspectives of learning mechanisms that involve joint learning of visual attention strategies and internal representations for faces, which can be modulated by quality of contact with other-race individuals incl…
Differential audiovisual information processing in emotion recognition: An eye-tracking study
Recent research has suggested that dynamic emotion recognition involves strong audiovisual association; that is, facial or vocal information alone automatically induces perceptual processes in the other modality. We hypothesized that different emotions may differ in the automaticity of audiovisual association, resulting in differential audiovisual information processing. Participants judged the emotion of a talking-head video under audiovisual, v…
Understanding the collinear masking effect in visual search through eye tracking
Do portrait artists have enhanced face processing abilities? Evidence from hidden Markov modeling of eye movements
Recent research has suggested the importance of part-based information in face recognition in addition to global, whole-face information. Nevertheless, face drawing experience was reported to enhance selective attention to the eyes but did not improve face recognition performance, leading to speculations about limited plasticity in adult face recognition. Here we examined the mechanism underlying the limited advantage of face drawing experience i…
Holistic but with reduced right-hemisphere involvement: The case of dyslexia in Chinese character recognition
Understanding visual attention to face emotions in social anxiety using hidden Markov models
Theoretical models propose that attentional biases might account for the maintenance of social anxiety symptoms. However, previous eye-tracking studies have yielded mixed results. One explanation is that existing studies quantify eye-movements using arbitrary, experimenter-defined criteria such as time segments and regions of interests that do not capture the dynamic nature of overt visual attention. The current study adopted the Eye Movement ana…
Modulation of mood on eye movement and face recognition performance
In face recognition, looking at the eyes has been associated with engagement of local attention, as well as better recognition performance. As recent research has suggested negative mood facilitates local attention while positive mood facilitates global attention, negative mood changes may lead to more eyes-focused eye movement patterns and consequently enhance recognition performance. Here we test this hypothesis using mood induction. Through ey…
Perceptual experience shapes our ability to categorize faces by national origin: A new other-race effect
People are better at recognizing own-race than other-race faces. This other-race effect has been argued to be the result of perceptual expertise, whereby face-specific perceptual mechanisms are tuned through experience. We designed new tasks to determine whether other-race effects extend to categorizing faces by national origin. We began by selecting sets of face stimuli for these tasks that are typical in appearance for each of six nations (thre…
Analysis of a Chinese Phonetic Compound Database: Implications for Orthographic Processing
On becoming socially anxious: Toddlers’ attention bias to fearful faces
Early attention bias to threat-related negative emotions may lead children to overestimate dangers in social situations. This study examined its emergence and how it might develop in tandem with a known predictor namely temperamental shyness for toddlers' fear of strangers in 168 Chinese toddlers. Measurable individual differences in such attention bias to fearful faces were found and remained stable from age 12 to 18 months. When shown photos of…
Visual attention to own- versus other-race faces: Perspectives from learning mechanisms and task demands
Multiple factors have been proposed to contribute to the other-race effect in face recognition, including perceptual expertise and social-cognitive accounts. Here, we propose to understand the effect and its contributing factors from the perspectives of learning mechanisms that involve joint learning of visual attention strategies and internal representations for faces, which can be modulated by quality of contact with other-race individuals incl…
Perceptual experience shapes our ability to categorize faces by national origin: A new other-race effect
People are better at recognizing own-race than other-race faces. This other-race effect has been argued to be the result of perceptual expertise, whereby face-specific perceptual mechanisms are tuned through experience. We designed new tasks to determine whether other-race effects extend to categorizing faces by national origin. We began by selecting sets of face stimuli for these tasks that are typical in appearance for each of six nations (thre…
Analysis of a Chinese Phonetic Compound Database: Implications for Orthographic Processing
Perceptual experience shapes our ability to categorize faces by national origin: A new other-race effect
People are better at recognizing own-race than other-race faces. This other-race effect has been argued to be the result of perceptual expertise, whereby face-specific perceptual mechanisms are tuned through experience. We designed new tasks to determine whether other-race effects extend to categorizing faces by national origin. We began by selecting sets of face stimuli for these tasks that are typical in appearance for each of six nations (thre…
Holistic but with reduced right-hemisphere involvement: The case of dyslexia in Chinese character recognition
Understanding visual attention to face emotions in social anxiety using hidden Markov models
Theoretical models propose that attentional biases might account for the maintenance of social anxiety symptoms. However, previous eye-tracking studies have yielded mixed results. One explanation is that existing studies quantify eye-movements using arbitrary, experimenter-defined criteria such as time segments and regions of interests that do not capture the dynamic nature of overt visual attention. The current study adopted the Eye Movement ana…
Modulation of mood on eye movement and face recognition performance
In face recognition, looking at the eyes has been associated with engagement of local attention, as well as better recognition performance. As recent research has suggested negative mood facilitates local attention while positive mood facilitates global attention, negative mood changes may lead to more eyes-focused eye movement patterns and consequently enhance recognition performance. Here we test this hypothesis using mood induction. Through ey…
Understanding the collinear masking effect in visual search through eye tracking
Do portrait artists have enhanced face processing abilities? Evidence from hidden Markov modeling of eye movements
Recent research has suggested the importance of part-based information in face recognition in addition to global, whole-face information. Nevertheless, face drawing experience was reported to enhance selective attention to the eyes but did not improve face recognition performance, leading to speculations about limited plasticity in adult face recognition. Here we examined the mechanism underlying the limited advantage of face drawing experience i…
Differential audiovisual information processing in emotion recognition: An eye-tracking study
Recent research has suggested that dynamic emotion recognition involves strong audiovisual association; that is, facial or vocal information alone automatically induces perceptual processes in the other modality. We hypothesized that different emotions may differ in the automaticity of audiovisual association, resulting in differential audiovisual information processing. Participants judged the emotion of a talking-head video under audiovisual, v…
On becoming socially anxious: Toddlers’ attention bias to fearful faces
Early attention bias to threat-related negative emotions may lead children to overestimate dangers in social situations. This study examined its emergence and how it might develop in tandem with a known predictor namely temperamental shyness for toddlers' fear of strangers in 168 Chinese toddlers. Measurable individual differences in such attention bias to fearful faces were found and remained stable from age 12 to 18 months. When shown photos of…
Visual attention to own- versus other-race faces: Perspectives from learning mechanisms and task demands
Multiple factors have been proposed to contribute to the other-race effect in face recognition, including perceptual expertise and social-cognitive accounts. Here, we propose to understand the effect and its contributing factors from the perspectives of learning mechanisms that involve joint learning of visual attention strategies and internal representations for faces, which can be modulated by quality of contact with other-race individuals incl…
Jobs-housing balance and travel patterns among different occupations as revealed by Hidden Markov mixture models: The case of Hong Kong
Explanation strategies in humans versus current explainable artificial intelligence: Insights from image classification
Explainable AI (XAI) methods provide explanations of AI models, but our understanding of how they compare with human explanations remains limited. Here, we examined human participants' attention strategies when classifying images and when explaining how they classified the images through eye‐tracking and compared their attention strategies with saliency‐based explanations from current XAI methods. We found that humans adopted more explorative att…
Measuring the semantic priming effect across many languages
Rethinking explainable AI: The gap between saliency-based explanation and user understanding for object detection models
Comparability between AI and human cognition and its role in psychological research and AI ethics
With the advances in AI technology, comparison studies between humans and AI can not only enhance our understanding of information processing mechanisms underlying human cognition but also facilitate our understanding of AI systems' behaviour and interactions with humans. In particular, explainable AI (XAI) methods, including both computational and experimental methods, can be used to reveal the mechanisms underlying AI's behaviour and its intera…
From barriers to benefits: A personalized sleep intervention enhances sleep duration and emotional health in chronic short sleepers
This pilot study evaluated a personalized sleep intervention incorporating motivational interviewing techniques to address sleep barriers, along with tailored sleep hygiene and extension for chronic short sleepers. Eleven university students completed a 14‐day sequential intervention (baseline, sleep hygiene and a combined phase adding 90‐min extension), assessed via actigraphy, daily diaries, ecological momentary assessments and qualitative inte…
Psychology (12 works) · Cognitive psychology (9 works) · Computer Science (9 works) · Artificial Intelligence (8 works) · Perception (7 works) · Eye movement (6 works) · Artificial Intelligence (5 works) · Cognition (5 works) · Neuroscience (5 works) · Face Recognition and Perception (4 works)