Suleman Shahid
Datos Biográficos
| ID | 4267201 |
|---|---|
| NOMBRE | Suleman Shahid |
| NOMBRES | Suleman |
| APELLIDO | Shahid |
| FIRMA | SHAHID S |
| AFILIACIONES | Lahore University of Management Sciences |
| ORCID | 0000-0001-9951-3188 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 6 |
| TOTAL DE CITAS | 16 |
| TOTAL COMO AUTOR | 6 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2014 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2023 |
| ÍNDICE H | 1 |
Why Bystanders (Don't) Post About Violence
Pictures of violence form an important element in today's news media and political online discussions. Many of these images are uploaded by bystanders, that is, people without clear links to the events. In this article, we investigate publication intentions of bystanders when confronted with disparate violent scenes. Using a two-step approach of online survey and follow-up interviews, we illustrate how bystanders rationalize the possible publicat…
The design of persuasive prompts to induce behavioural change through an mHealth application for people with depression
The alteration of an individual's lifestyle and the adoption of healthy behaviours have been shown to be effective in combating a majority of the major symptoms of depression. While there are several mHealth applications that use behaviour change to reduce depressive symptoms, they are often not grounded in behaviour change theory and display a lack of understanding regarding the specific factors that lead to behaviour change. Therefore, there is…
Emotion and memory model for social robots
In this paper, we propose a reinforcement learning (RL) mechanism for social robots to select an action based on users’ learning performance and social engagement. We applied this behavior selection mechanism to extend the emotion and memory model, which allows a robot to create a memory account of the user’s emotional events and adapt its behavior based on the developed memory. We evaluated the model in a vocabulary-learning task at a school dur…
The new norm
Can a robot invigilator prevent cheating
Child–robot interaction across cultures
Child–robot interaction across cultures
Can a robot invigilator prevent cheating
The new norm
The design of persuasive prompts to induce behavioural change through an mHealth application for people with depression
The alteration of an individual's lifestyle and the adoption of healthy behaviours have been shown to be effective in combating a majority of the major symptoms of depression. While there are several mHealth applications that use behaviour change to reduce depressive symptoms, they are often not grounded in behaviour change theory and display a lack of understanding regarding the specific factors that lead to behaviour change. Therefore, there is…
Emotion and memory model for social robots
In this paper, we propose a reinforcement learning (RL) mechanism for social robots to select an action based on users’ learning performance and social engagement. We applied this behavior selection mechanism to extend the emotion and memory model, which allows a robot to create a memory account of the user’s emotional events and adapt its behavior based on the developed memory. We evaluated the model in a vocabulary-learning task at a school dur…
Why Bystanders (Don't) Post About Violence
Pictures of violence form an important element in today's news media and political online discussions. Many of these images are uploaded by bystanders, that is, people without clear links to the events. In this article, we investigate publication intentions of bystanders when confronted with disparate violent scenes. Using a two-step approach of online survey and follow-up interviews, we illustrate how bystanders rationalize the possible publicat…
Computer Science (6 obras) · Psychology (5 obras) · Artificial Intelligence (3 obras) · Human–computer interaction (3 obras) · Political science (3 obras) · Robot (3 obras) · Social Psychology (3 obras) · Social Robot Interaction and HRI (3 obras) · Internet privacy (2 obras) · Law (2 obras)