Hesen Li
Biographic Data
| ID | 4443181 |
|---|---|
| NAME | Hesen Li |
| GIVEN NAMES | Hesen |
| FAMILY NAME | Li |
| SIGNATURE | LI H |
| AFFILIATIONS | Shenyang Aerospace University |
| ORCID | 0009-0006-2881-5510 |
| VERIFIED | Yes |
| TOTAL WORKS | 10 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 10 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
The role of explainable AI social assistants in digital socialization among older adults in China: Impacts on social satisfaction, human–AI trust, and digital anxiety
Dual-path and threshold mechanisms of AI agents in elderly emotional support: Linking social engagement and cognitive load to loneliness reduction
Population ageing has intensified loneliness, reduced social engagement, and cognitive burden among older adults. Although AI agents are increasingly used to provide companionship, the socio-cognitive mechanisms underlying their emotional benefits remain unclear. This study investigates how AI interaction alleviates loneliness through two pathways: enhanced social engagement and reduced cognitive load. A three-phase empirical design was conducted…
AI vs. traditional navigation systems: Enhancing efficiency and reducing cognitive burden for visually impaired users
People with visual impairments face significant challenges during travel, and traditional navigation systems often fall short of addressing their specific needs. Existing assistive technologies, including tactile paths and basic voice navigation, struggle with low efficiency, high error rates, and heavy cognitive and psychological burdens. With the advancement of artificial intelligence (AI), AI-based navigation systems have emerged as promising …
Adaptive prediction of long-term health behavior change in older adults using mhealth apps: A random forest approach integrating HBM and TTM
With the widespread adoption of smart devices, mobile health applications (mHealth) have become important tools for elderly health management. However, their long-term effects remain underexplored. This study examines the long-term impact of different mHealth application types on elderly health behaviors, integrating the Health Belief Model (HBM) and Transtheoretical Model (TTM) to construct an assessment framework. Data from 1,500 older adults w…
Human- centred AI in elderly care: Alleviating loneliness, promoting social engagement, and easing cognitive burden
The global aging population is confronted with an escalating issue of social loneliness, which exerts a detrimental impact on the physical and mental health of the elderly. This research delves into the utilisation of AI virtual agents as a means to mitigate loneliness, augment social participation, and decrease cognitive load among senior citizens. A control experiment involving 136 participants aged 60 and over was carried out. In this experime…
Can serious games truly stand the test of aging? An Anova and random forest study exploring the long-term effects of multimodal interaction on cognitive load in adaptive serious games
Global population aging poses significant challenges to cognitive health, making the development of effective interventions to delay cognitive decline an urgent priority. This study focuses on adaptive serious games and, drawing on the Transtheoretical Model (TTM) and Cognitive Load Theory, investigates the short- and long-term effects of specific multimodal interaction combinations on older adults’ cognitive load. Study 1 employed a two-way ANOV…
Designing age-inclusive AI tutors: Effects of anthropomorphism on trust and risk in elderly health Management – a between-subjects experiment
With the increasing adoption of intelligent health management platforms among older adults, the anthropomorphic design of artificial intelligence (AI) has emerged as a critical factor in enhancing user engagement and trust. This study examined how varying degrees of AI anthropomorphism influence elderly users’ trust and perceived service risks in intelligent health management platforms. Employing a between-subjects, single-session experimental de…
Overlooking the cognitive cost of serious game design? a two-stage study on interface and load in MCI
With the growing prevalence of Mild Cognitive Impairment (MCI), effective digital interventions are urgently needed to support cognitive health in aging populations. Serious Games (SG) show promise in enhancing memory, attention, and executive function; however, complex interfaces may impose additional cognitive load (CL), limiting effectiveness for MCI users. This study examined whether and how SG interface design influences CL in older adults w…
How to Meet Elders’ Needs: A Strategy for Community Healthcare Service
Statistical Methods for Assessing the Explained Variation of a Health Outcome by a Mixture of Exposures
Exposures to environmental pollutants are often composed of mixtures of chemicals that can be highly correlated because of similar sources and/or chemical structures. The effect of an individual chemical on a health outcome can be weak and difficult to detect because of the relatively low level of exposures to many environmental pollutants. To tackle the challenging problem of assessing the health risk of exposure to a mixture of environmental po…
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Statistical Methods for Assessing the Explained Variation of a Health Outcome by a Mixture of Exposures
Exposures to environmental pollutants are often composed of mixtures of chemicals that can be highly correlated because of similar sources and/or chemical structures. The effect of an individual chemical on a health outcome can be weak and difficult to detect because of the relatively low level of exposures to many environmental pollutants. To tackle the challenging problem of assessing the health risk of exposure to a mixture of environmental po…
How to Meet Elders’ Needs: A Strategy for Community Healthcare Service
Can serious games truly stand the test of aging? An Anova and random forest study exploring the long-term effects of multimodal interaction on cognitive load in adaptive serious games
Global population aging poses significant challenges to cognitive health, making the development of effective interventions to delay cognitive decline an urgent priority. This study focuses on adaptive serious games and, drawing on the Transtheoretical Model (TTM) and Cognitive Load Theory, investigates the short- and long-term effects of specific multimodal interaction combinations on older adults’ cognitive load. Study 1 employed a two-way ANOV…
Designing age-inclusive AI tutors: Effects of anthropomorphism on trust and risk in elderly health Management – a between-subjects experiment
With the increasing adoption of intelligent health management platforms among older adults, the anthropomorphic design of artificial intelligence (AI) has emerged as a critical factor in enhancing user engagement and trust. This study examined how varying degrees of AI anthropomorphism influence elderly users’ trust and perceived service risks in intelligent health management platforms. Employing a between-subjects, single-session experimental de…
Overlooking the cognitive cost of serious game design? a two-stage study on interface and load in MCI
With the growing prevalence of Mild Cognitive Impairment (MCI), effective digital interventions are urgently needed to support cognitive health in aging populations. Serious Games (SG) show promise in enhancing memory, attention, and executive function; however, complex interfaces may impose additional cognitive load (CL), limiting effectiveness for MCI users. This study examined whether and how SG interface design influences CL in older adults w…
The role of explainable AI social assistants in digital socialization among older adults in China: Impacts on social satisfaction, human–AI trust, and digital anxiety
Dual-path and threshold mechanisms of AI agents in elderly emotional support: Linking social engagement and cognitive load to loneliness reduction
Population ageing has intensified loneliness, reduced social engagement, and cognitive burden among older adults. Although AI agents are increasingly used to provide companionship, the socio-cognitive mechanisms underlying their emotional benefits remain unclear. This study investigates how AI interaction alleviates loneliness through two pathways: enhanced social engagement and reduced cognitive load. A three-phase empirical design was conducted…
AI vs. traditional navigation systems: Enhancing efficiency and reducing cognitive burden for visually impaired users
People with visual impairments face significant challenges during travel, and traditional navigation systems often fall short of addressing their specific needs. Existing assistive technologies, including tactile paths and basic voice navigation, struggle with low efficiency, high error rates, and heavy cognitive and psychological burdens. With the advancement of artificial intelligence (AI), AI-based navigation systems have emerged as promising …
Adaptive prediction of long-term health behavior change in older adults using mhealth apps: A random forest approach integrating HBM and TTM
With the widespread adoption of smart devices, mobile health applications (mHealth) have become important tools for elderly health management. However, their long-term effects remain underexplored. This study examines the long-term impact of different mHealth application types on elderly health behaviors, integrating the Health Belief Model (HBM) and Transtheoretical Model (TTM) to construct an assessment framework. Data from 1,500 older adults w…
Human- centred AI in elderly care: Alleviating loneliness, promoting social engagement, and easing cognitive burden
The global aging population is confronted with an escalating issue of social loneliness, which exerts a detrimental impact on the physical and mental health of the elderly. This research delves into the utilisation of AI virtual agents as a means to mitigate loneliness, augment social participation, and decrease cognitive load among senior citizens. A control experiment involving 136 participants aged 60 and over was carried out. In this experime…
Cognition (6 works) · Technology Use by Older Adults (6 works) · Cognitive Load (4 works) · Social Robot Interaction and HRI (3 works) · AI in Service Interactions (2 works) · Digital Mental Health Interventions (2 works) · Medicine (2 works) · Psychology (2 works) · Random forest (2 works) · Social cognitive theory (2 works)