Bernie Tiddeman
Biographic Data
| ID | 9497101 |
|---|---|
| NAME | Bernie Tiddeman |
| GIVEN NAMES | Bernie |
| FAMILY NAME | Tiddeman |
| SIGNATURE | TIDDEMAN B |
| AFFILIATIONS | Aberystwyth University |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 2 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2015 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Testing stimulus generalisation as a mechanism for impression formation
People readily judge trustworthiness based on others' facial appearance, but less is known about how our prior experiences shape who we find trustworthy. Stimulus generalisation is one mechanism which may explain how experience influences impressions of strangers. This fundamental learning principle argues that learning about one stimulus generalises to stimuli that resemble the original stimulus. Here, we asked whether stimulus generalisation, s…
Small Works, Big Stories. Methodological approaches to photogrammetry through crowd-sourcing experiences
A recent digital public archaeology project (HeritageTogether) sought to build a series of 3D ditigal models using photogrammetry from crowd-sourced images. The project saw over 13000 digital images being donated, and resulted in models of some 78 sites, providing resources for researchers, and condition surveys. The project demonstrated that digital public archaeology does not stop at the 'trowel's edge', and that collaborative post-excavation a…
Crowd-sourcing archaeological research: HeritageTogether digital public archaeology in practice
Archaeologists are increasingly working with crowd-sourced digital data. Using evidence from other disciplines about the nature of crowd-sourcing in academic research, we suggest that archaeological projects using donated data can usefully be differentiated between generative projects (which rely on data collected by citizen scientists), and analytical projects (which make use of volunteers to classify, or otherwise analyse data that are provided…
Small Works, Big Stories. Methodological approaches to photogrammetry through crowd-sourcing experiences
A recent digital public archaeology project (HeritageTogether) sought to build a series of 3D ditigal models using photogrammetry from crowd-sourced images. The project saw over 13000 digital images being donated, and resulted in models of some 78 sites, providing resources for researchers, and condition surveys. The project demonstrated that digital public archaeology does not stop at the 'trowel's edge', and that collaborative post-excavation a…
Crowd-sourcing archaeological research: HeritageTogether digital public archaeology in practice
Archaeologists are increasingly working with crowd-sourced digital data. Using evidence from other disciplines about the nature of crowd-sourcing in academic research, we suggest that archaeological projects using donated data can usefully be differentiated between generative projects (which rely on data collected by citizen scientists), and analytical projects (which make use of volunteers to classify, or otherwise analyse data that are provided…
Small Works, Big Stories. Methodological approaches to photogrammetry through crowd-sourcing experiences
A recent digital public archaeology project (HeritageTogether) sought to build a series of 3D ditigal models using photogrammetry from crowd-sourced images. The project saw over 13000 digital images being donated, and resulted in models of some 78 sites, providing resources for researchers, and condition surveys. The project demonstrated that digital public archaeology does not stop at the 'trowel's edge', and that collaborative post-excavation a…
Crowd-sourcing archaeological research: HeritageTogether digital public archaeology in practice
Archaeologists are increasingly working with crowd-sourced digital data. Using evidence from other disciplines about the nature of crowd-sourcing in academic research, we suggest that archaeological projects using donated data can usefully be differentiated between generative projects (which rely on data collected by citizen scientists), and analytical projects (which make use of volunteers to classify, or otherwise analyse data that are provided…
Testing stimulus generalisation as a mechanism for impression formation
People readily judge trustworthiness based on others' facial appearance, but less is known about how our prior experiences shape who we find trustworthy. Stimulus generalisation is one mechanism which may explain how experience influences impressions of strangers. This fundamental learning principle argues that learning about one stimulus generalises to stimuli that resemble the original stimulus. Here, we asked whether stimulus generalisation, s…
Archaeology (2 works) · Computer Science (2 works) · Crowd sourcing (2 works) · Data science (2 works) · History (2 works) · History (2 works) · 3D Surveying and Cultural Heritage (1 works) · Archaeological Research and Protection (1 works) · Artificial Intelligence (1 works) · Concept learning (1 works)