Sarah C Jenkins
Biographic Data
| ID | 6540316 |
|---|---|
| NAME | Sarah C Jenkins |
| GIVEN NAMES | Sarah C |
| FAMILY NAME | Jenkins |
| SIGNATURE | JENKINS S C |
| AFFILIATIONS | Department of Experimental Psychology, University College London, London, UK |
| ORCID | 0000-0001-8400-9691 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 6 |
| AUTHOR COUNT | 8 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 2 |
Risk and the regulatory challenges of smart consumer products
When harm occurs—a normal accident? Psychological harm—an elusive concept Summary and conclusion Disclosure statement References Full Article Figures & data References Citations Metrics Reprints & Permissions View PDF(open in a new window)View EPUB(open in a new window) Previous article View latest articles Next article Osman’s (Citation2025) consideration of psychological harm and its applications to consumer products with internet connectivity …
Impact-based forecasting in South East Asia – What underlies impact perceptions
The move towards impact-based forecasting presents a challenge for forecasters, who must combine information not just on what the weather might be, but also on what the weather might do. Yet different hazards and impacts are qualitatively distinct, meaning such information cannot be easily or straightforwardly integrated. The present study aimed to provide a way of characterising seemingly disparate impacts. In a collaboration between UK psycholo…
Investigating the decision thresholds for impact-based warnings in South East Asia
The move towards impact-based forecasting presents a challenge for forecasters, who must combine information not just on what the weather might be, but also on what the weather might do. Such forecasts require an integration of both likelihood and impact severity information to issue a particular weather warning. The current pre-registered study focusses on forecasters' and stakeholders’ thresholds for determining the level of impact-based warnin…
Maintaining credibility when communicating uncertainty: The role of directionality
Risk communicators often need to communicate probabilistic predictions. On occasion, an event with 10% likelihood will occur, or one with 90% likelihood will not – a probabilistically unexpected outcome. Previous research manipulating communication format has found that communicators lose more credibility and are perceived as less correct if an “unlikely” event occurs than if a “10–30% likelihood” event occurs. We suggest “directionality–outcome …
Testing the adaptability of people's use of attribute frame information
What drives risk perceptions? Revisiting public perceptions of food hazards associated with production and consumption
As food technology continues to advance, the potential for new food products to enter the food market grows, attracting considerable media interest. Whilst previous research has explored public perceptions of food-related hazards, much of this took place over 10 years ago. Continued technological developments have yielded new food products, for which there is no extant research on public perceptions. In light of this, there is a pressing need to …
When unlikely outcomes occur: The role of communication format in maintaining communicator credibility
The public expects science to reduce or eliminate uncertainty, yet scientific forecasts are probabilistic (at best) and it is simply not possible to make predictions with certainty. Whilst an ‘unlikely’ outcome is not expected to occur, an ‘unlikely’ outcome will still occur one in five times (based on a translation of 20%), according to a frequentist perspective. When an ‘unlikely’ outcome does occur, the prediction may be deemed ‘erroneous’, re…
Understanding ‘Unlikely (20% Likelihood)’ or ‘20% Likelihood (Unlikely)’ Outcomes: The Robustness of the Extremity Effect
Calls to communicate uncertainty using mixed, verbal‐numerical formats (‘unlikely [0–33%]’) have stemmed from research comparing mixed with solely verbal communications. Research using the new ‘which outcome’ approach to investigate understanding of verbal probability expressions suggests, however, that mixed formats might convey disadvantages compared with purely numerical communications. When asked to indicate an outcome that is ‘unlikely’, par…
Understanding ‘Unlikely (20% Likelihood)’ or ‘20% Likelihood (Unlikely)’ Outcomes: The Robustness of the Extremity Effect
Calls to communicate uncertainty using mixed, verbal‐numerical formats (‘unlikely [0–33%]’) have stemmed from research comparing mixed with solely verbal communications. Research using the new ‘which outcome’ approach to investigate understanding of verbal probability expressions suggests, however, that mixed formats might convey disadvantages compared with purely numerical communications. When asked to indicate an outcome that is ‘unlikely’, par…
What drives risk perceptions? Revisiting public perceptions of food hazards associated with production and consumption
As food technology continues to advance, the potential for new food products to enter the food market grows, attracting considerable media interest. Whilst previous research has explored public perceptions of food-related hazards, much of this took place over 10 years ago. Continued technological developments have yielded new food products, for which there is no extant research on public perceptions. In light of this, there is a pressing need to …
When unlikely outcomes occur: The role of communication format in maintaining communicator credibility
The public expects science to reduce or eliminate uncertainty, yet scientific forecasts are probabilistic (at best) and it is simply not possible to make predictions with certainty. Whilst an ‘unlikely’ outcome is not expected to occur, an ‘unlikely’ outcome will still occur one in five times (based on a translation of 20%), according to a frequentist perspective. When an ‘unlikely’ outcome does occur, the prediction may be deemed ‘erroneous’, re…
When unlikely outcomes occur: The role of communication format in maintaining communicator credibility
The public expects science to reduce or eliminate uncertainty, yet scientific forecasts are probabilistic (at best) and it is simply not possible to make predictions with certainty. Whilst an ‘unlikely’ outcome is not expected to occur, an ‘unlikely’ outcome will still occur one in five times (based on a translation of 20%), according to a frequentist perspective. When an ‘unlikely’ outcome does occur, the prediction may be deemed ‘erroneous’, re…
Understanding ‘Unlikely (20% Likelihood)’ or ‘20% Likelihood (Unlikely)’ Outcomes: The Robustness of the Extremity Effect
Calls to communicate uncertainty using mixed, verbal‐numerical formats (‘unlikely [0–33%]’) have stemmed from research comparing mixed with solely verbal communications. Research using the new ‘which outcome’ approach to investigate understanding of verbal probability expressions suggests, however, that mixed formats might convey disadvantages compared with purely numerical communications. When asked to indicate an outcome that is ‘unlikely’, par…
Maintaining credibility when communicating uncertainty: The role of directionality
Risk communicators often need to communicate probabilistic predictions. On occasion, an event with 10% likelihood will occur, or one with 90% likelihood will not – a probabilistically unexpected outcome. Previous research manipulating communication format has found that communicators lose more credibility and are perceived as less correct if an “unlikely” event occurs than if a “10–30% likelihood” event occurs. We suggest “directionality–outcome …
Testing the adaptability of people's use of attribute frame information
What drives risk perceptions? Revisiting public perceptions of food hazards associated with production and consumption
As food technology continues to advance, the potential for new food products to enter the food market grows, attracting considerable media interest. Whilst previous research has explored public perceptions of food-related hazards, much of this took place over 10 years ago. Continued technological developments have yielded new food products, for which there is no extant research on public perceptions. In light of this, there is a pressing need to …
Impact-based forecasting in South East Asia – What underlies impact perceptions
The move towards impact-based forecasting presents a challenge for forecasters, who must combine information not just on what the weather might be, but also on what the weather might do. Yet different hazards and impacts are qualitatively distinct, meaning such information cannot be easily or straightforwardly integrated. The present study aimed to provide a way of characterising seemingly disparate impacts. In a collaboration between UK psycholo…
Investigating the decision thresholds for impact-based warnings in South East Asia
The move towards impact-based forecasting presents a challenge for forecasters, who must combine information not just on what the weather might be, but also on what the weather might do. Such forecasts require an integration of both likelihood and impact severity information to issue a particular weather warning. The current pre-registered study focusses on forecasters' and stakeholders’ thresholds for determining the level of impact-based warnin…
Risk and the regulatory challenges of smart consumer products
When harm occurs—a normal accident? Psychological harm—an elusive concept Summary and conclusion Disclosure statement References Full Article Figures & data References Citations Metrics Reprints & Permissions View PDF(open in a new window)View EPUB(open in a new window) Previous article View latest articles Next article Osman’s (Citation2025) consideration of psychological harm and its applications to consumer products with internet connectivity …
Psychology (7 works) · Risk Perception and Management (7 works) · Computer Science (6 works) · Social Psychology (5 works) · Climate Change Communication and Perception (4 works) · Political science (4 works) · Business (3 works) · Cognitive psychology (3 works) · Economics (3 works) · Mathematics (3 works)