Katarzyna Stawarz
Biographic Data
| ID | 8236129 |
|---|---|
| NAME | Katarzyna Stawarz |
| GIVEN NAMES | Katarzyna |
| FAMILY NAME | Stawarz |
| SIGNATURE | STAWARZ K |
| AFFILIATIONS | Cardiff University |
| ORCID | 0000-0001-9021-0615 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Applying cross-modal plasticity principles in auditory training applications
Research indicates that a significant number of individuals are in a suboptimal auditory health state , yet their auditory function can potentially be improved through auditory training. To raise awareness of auditory health issues, auditory training apps should provide effective yet accessible training methods alongside engaging mechanisms that motivate users to adopt and sustain auditory training habits, ultimately facilitating self-directed au…
Understanding the Impact of Robots’ Embodiment on User Acceptance and Engagement
With Global South’s (GS) aging population and advancements in technology, social robots have emerged as a potential alternative for supporting elderly care. However, there is a limited research investigating the engagement and acceptance of technology in GS. This paper investigates the engagement with and acceptance of three differently embodied social robots (Vector, Miro, Nao) among older adults in Pakistan. Through mixed methods, including int…
Co-designing opportunities for Human-Centred Machine Learning in supporting Type 1 diabetes decision-making
Type 1 Diabetes (T1D) self-management requires hundreds of daily decisions. Diabetes technologies that use machine learning have significant potential to simplify this process and provide better decision support, but often rely on cumbersome data logging and cognitively demanding reflection on collected data. We set out to use co-design to identify opportunities for machine learning to support diabetes self-management in everyday settings. Howeve…
What influences the selection of contextual cues when starting a new routine behaviour? An exploratory study
Future behaviour change interventions that rely on routine behaviours might fruitfully include the provision of educational information regarding what approaches are suboptimal (single factors, vaguely defined plans) and what is most likely to work (combining multiple clearly defined cues). They should also assess people's existing beliefs about how to best remember specific behaviours as such beliefs can either enhance or inhibit the cues they s…
No prominent works on this page.
What influences the selection of contextual cues when starting a new routine behaviour? An exploratory study
Future behaviour change interventions that rely on routine behaviours might fruitfully include the provision of educational information regarding what approaches are suboptimal (single factors, vaguely defined plans) and what is most likely to work (combining multiple clearly defined cues). They should also assess people's existing beliefs about how to best remember specific behaviours as such beliefs can either enhance or inhibit the cues they s…
Co-designing opportunities for Human-Centred Machine Learning in supporting Type 1 diabetes decision-making
Type 1 Diabetes (T1D) self-management requires hundreds of daily decisions. Diabetes technologies that use machine learning have significant potential to simplify this process and provide better decision support, but often rely on cumbersome data logging and cognitively demanding reflection on collected data. We set out to use co-design to identify opportunities for machine learning to support diabetes self-management in everyday settings. Howeve…
Applying cross-modal plasticity principles in auditory training applications
Research indicates that a significant number of individuals are in a suboptimal auditory health state , yet their auditory function can potentially be improved through auditory training. To raise awareness of auditory health issues, auditory training apps should provide effective yet accessible training methods alongside engaging mechanisms that motivate users to adopt and sustain auditory training habits, ultimately facilitating self-directed au…
Understanding the Impact of Robots’ Embodiment on User Acceptance and Engagement
With Global South’s (GS) aging population and advancements in technology, social robots have emerged as a potential alternative for supporting elderly care. However, there is a limited research investigating the engagement and acceptance of technology in GS. This paper investigates the engagement with and acceptance of three differently embodied social robots (Vector, Miro, Nao) among older adults in Pakistan. Through mixed methods, including int…
Computer Science (3 works) · Psychology (3 works) · Artificial Intelligence (2 works) · AI in Service Interactions (1 works) · Applied Psychology (1 works) · Applied Psychology (1 works) · Behavioral Health and Interventions (1 works) · Cognitive psychology (1 works) · Data science (1 works) · Decision support system (1 works)