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Papers by Aisha Muhammad Abdullahi

Research paper thumbnail of Personalizing Persuasive Technologies

Adjunct Publication of the 26th Conference on User Modeling, Adaptation and Personalization

Research paper thumbnail of Gender, Age and Subjective Well-Being: Towards Personalized Persuasive Health Interventions

Information

(1) Background: Subjective well-being (SWB) is an individual's judgment about their overall well-... more (1) Background: Subjective well-being (SWB) is an individual's judgment about their overall well-being. Research has shown that high subjective well-being contributes to overall health. SWB consists of both Affective and Cognitive dimensions. Existing studies on SWB are limited in two major ways: first, they focused mainly on the Affective dimension. Second, most existing studies are focused on individuals from the Western and Asian nations; (2) Methods: To resolve these weaknesses and contribute to research on personalizing persuasive health interventions to promote SWB, we conducted a large-scale study of 732 participants from Nigeria to investigate what factors affect their SWB using both the Affective and Cognitive dimensions and how distinct SWB components relates to different gender and age group. We employed the Structural Equation Model (SEM) and Confirmatory Factor Analysis (CFA) to develop models showing how gender and age relate to the distinct components of SWB; (3) Results: Our study reveals significant differences between gender and age groups. Males are more associated with social well-being and satisfaction with life components while females are more associated with emotional well-being. As regards age, younger adults (under 24) are more associated with social well-being and happiness while older adults (over 65) are more associated with psychological well-being, emotional well-being, and satisfaction with life. (4) Conclusions: The results could inform designers of the appropriate SWB components to target when personalizing persuasive health interventions to promote overall well-being for people belonging to various gender and age groups. We offer design guidelines for tailoring persuasive intervention to increase SWB based on an individual's age and gender group. Finally, we map SWB components to possible persuasive technology design strategies that can be employed to implement them in persuasive interventions design.

Research paper thumbnail of Personality and Subjective Well-Being: Towards Personalized  Persuasive Interventions for Health and Well-Being

Online Journal of Public Health Informatics, 2020

Subjective well-being (SWB) is an individual's judgment about their overall well-being. Research ... more Subjective well-being (SWB) is an individual's judgment about their overall well-being. Research has shown that activities that elevate people's sense of SWB have a significant effect on their overall health. There are two dimensions of SWB: Affective and Cognitive dimensions. However, studies on SWB usually focus more on one dimension, ignoring the other dimension. Also, most existing studies on SWB focused on individuals from Western cultures. Research has shown that the influence of personality on subjective well-being is moderated by culture. Thus, to advance research in personalizing persuasive health interventions, this study focuses on Africans (n=732). Specifically, we investigate the relationship between the Big-Five personality traits and both dimensions of SWB using the constructs: Happiness, Satisfaction with Life, Social, Psychological and Emotional well-being. Our results reveal that health informatics designers who design persuasive technologies to promote SWB would need to tailor designs along personality traits and SWB constructs. Accordingly, for users high in Agreeableness, the design should be focus on promoting their feelings of Happiness and Social Well-being. For users who exhibit Neuroticism, designers should focus on designing to promote Psychological well-being and Emotional well-being. Based on our findings, we offer guidelines for tailoring persuasive health interventions to promote individuals' SWB based on their personality. We thus highlight areas that personal health informatics design can benefit. CCS CONCEPTS • Human-centered computing → Personalization → HCI design and evaluation methods → User models

Research paper thumbnail of Performance Evaluation of Three Quick-sorting Algorithms on Single and Multi-core Machines.

Ditse Journals of Pure and Applied Sciences (DUJOPAS), 2018

Multi-core processor is an improvement over the Single-core processor architecture and represents... more Multi-core processor is an improvement over the Single-core processor architecture and represents the latest developments in microprocessor technology. Performance evaluation of algorithms can be carried out on a computer with different number of processing cores with a view to establish the level of their performances. This research paper carried out performance evaluation studies on three different Sorting algorithms namely: QuickSort-Sequential, QuickSort-ParallelNaive, and QuickSort-ForkJoin on a Single-core and Multi-core processors to determine which of the algorithms has better execution time, and to show the effect of Multi-processor machines on their performances. System.nanotime() benchmark suits was used to measure the performances of these three algorithms. The overall running time of these algorithms were reported and compared. Results showed that the running time of QuickSort-ForkJoin is about 46.62% faster than QuickSort-Sequential, and 31.20% faster than QuickSort-ParallelNaive. Therefore, QuickSort-ForkJoin algorithm exhibits better performance probably due to its divide and conquer approach. Work stealing action is also another reason for this good performance when measured on both single and Multi-core processor. It was also discovered that increase in a number of processing cores in a machine significantly improves the performances of these algorithms.

Research paper thumbnail of Personalizing Persuasive Educational Technologies to Learners' Cognitive Ability

—Persuasive Educational Technology (PET) is an effective tool for engaging students and promoting... more —Persuasive Educational Technology (PET) is an effective tool for engaging students and promoting learning, using various persuasive strategies. Research has shown that personalizing PET could increase their effectiveness at engaging students and promoting learning. Cognitive ability has been identified as an important factor that could lead to individual differences in learning. Yet, there is a gap in knowledge on how learners' ability on various cognitive dimensions identified by Bloom's Taxonomy, is associated with their susceptibility to distinct persuasive strategies often used in PETs designs. To fill this gap, we conducted a large-scale study of 402 students to investigate how their cognitive ability scores relate to their susceptibility to persuasive strategies (Reward, Social Learning, and Trustworthiness) that are commonly used in PET design. We assessed the Cognitive ability scores using the test questions adapted from the Educational Testing Service (ETS) Kit. Our results show that there is a relationship between individuals' cognitive abilities and their susceptibility to persuasive strategies. People with high ability to Remember and Evaluate concepts are more susceptible to the Reward Strategy, while those high in ability to Understand are positively associated with the Trustworthiness Strategy. Similarly, we uncovered that individuals high in the ability to Apply, Analyze, and Synthesize ideas are positively associated with the Social Learning Strategy. These findings can guide PET designers on how to develop PET tailored to learners belonging to different cognitive ability dimensions.

Research paper thumbnail of Personalizing Persuasive Technologies: Do Gender and Age Affect Susceptibility to Persuasive Strategies?

Personalizing Persuasive Technologies (PTs) increase their effectiveness at motivating desired be... more Personalizing Persuasive Technologies (PTs) increase their effectiveness at motivating desired behavioral change. However, most existing efforts towards personalizing PTs and developing personalization models were focused on people from the western countries. In this work, we focused on African audience to investigate how individual's responsiveness to three persuasive strategies (Reward, Social Learning, and Social Comparison) varies by Gender and Age group via a large-scale study of 712 participants. The results of a RM-ANOVA show significant differences in responsiveness to the strategies across the gender and age groups. Females are more responsive to the Reward and Social Learning strategies while males are more responsive to the social comparison strategy. People who are under 25 years are more likely to be persuaded by the Reward and social Learning than participants above 35 years who are more responsive to the Social Comparison strategy. The results will inform PT desig...

Research paper thumbnail of Personalizing Persuasive Technologies: Do Gender and Age Affect Susceptibility to Persuasive Strategies?

Personalizing Persuasive Technologies (PTs) increase their effectiveness at motivating desired be... more Personalizing Persuasive Technologies (PTs) increase their effectiveness at motivating desired behavioral change. However, most existing efforts towards personalizing PTs and developing personalization models were focused on people from the western countries. In this work, we focused on African audience to investigate how individual's responsiveness to three persuasive strategies (Reward, Social Learning, and Social Comparison) varies by Gender and Age group via a large-scale study of 712 participants. The results of a RM-ANOVA show significant differences in responsiveness to the strategies across the gender and age groups. Females are more responsive to the Reward and Social Learning strategies while males are more responsive to the social comparison strategy. People who are under 25 years are more likely to be persuaded by the Reward and social Learning than participants above 35 years who are more responsive to the Social Comparison strategy. The results will inform PT designers on the appropriate strategy to employ to personalize PTs to individual users based on their Age and Gender.

Research paper thumbnail of Personalizing Persuasive Technologies

Adjunct Publication of the 26th Conference on User Modeling, Adaptation and Personalization

Research paper thumbnail of Gender, Age and Subjective Well-Being: Towards Personalized Persuasive Health Interventions

Information

(1) Background: Subjective well-being (SWB) is an individual's judgment about their overall well-... more (1) Background: Subjective well-being (SWB) is an individual's judgment about their overall well-being. Research has shown that high subjective well-being contributes to overall health. SWB consists of both Affective and Cognitive dimensions. Existing studies on SWB are limited in two major ways: first, they focused mainly on the Affective dimension. Second, most existing studies are focused on individuals from the Western and Asian nations; (2) Methods: To resolve these weaknesses and contribute to research on personalizing persuasive health interventions to promote SWB, we conducted a large-scale study of 732 participants from Nigeria to investigate what factors affect their SWB using both the Affective and Cognitive dimensions and how distinct SWB components relates to different gender and age group. We employed the Structural Equation Model (SEM) and Confirmatory Factor Analysis (CFA) to develop models showing how gender and age relate to the distinct components of SWB; (3) Results: Our study reveals significant differences between gender and age groups. Males are more associated with social well-being and satisfaction with life components while females are more associated with emotional well-being. As regards age, younger adults (under 24) are more associated with social well-being and happiness while older adults (over 65) are more associated with psychological well-being, emotional well-being, and satisfaction with life. (4) Conclusions: The results could inform designers of the appropriate SWB components to target when personalizing persuasive health interventions to promote overall well-being for people belonging to various gender and age groups. We offer design guidelines for tailoring persuasive intervention to increase SWB based on an individual's age and gender group. Finally, we map SWB components to possible persuasive technology design strategies that can be employed to implement them in persuasive interventions design.

Research paper thumbnail of Personality and Subjective Well-Being: Towards Personalized  Persuasive Interventions for Health and Well-Being

Online Journal of Public Health Informatics, 2020

Subjective well-being (SWB) is an individual's judgment about their overall well-being. Research ... more Subjective well-being (SWB) is an individual's judgment about their overall well-being. Research has shown that activities that elevate people's sense of SWB have a significant effect on their overall health. There are two dimensions of SWB: Affective and Cognitive dimensions. However, studies on SWB usually focus more on one dimension, ignoring the other dimension. Also, most existing studies on SWB focused on individuals from Western cultures. Research has shown that the influence of personality on subjective well-being is moderated by culture. Thus, to advance research in personalizing persuasive health interventions, this study focuses on Africans (n=732). Specifically, we investigate the relationship between the Big-Five personality traits and both dimensions of SWB using the constructs: Happiness, Satisfaction with Life, Social, Psychological and Emotional well-being. Our results reveal that health informatics designers who design persuasive technologies to promote SWB would need to tailor designs along personality traits and SWB constructs. Accordingly, for users high in Agreeableness, the design should be focus on promoting their feelings of Happiness and Social Well-being. For users who exhibit Neuroticism, designers should focus on designing to promote Psychological well-being and Emotional well-being. Based on our findings, we offer guidelines for tailoring persuasive health interventions to promote individuals' SWB based on their personality. We thus highlight areas that personal health informatics design can benefit. CCS CONCEPTS • Human-centered computing → Personalization → HCI design and evaluation methods → User models

Research paper thumbnail of Performance Evaluation of Three Quick-sorting Algorithms on Single and Multi-core Machines.

Ditse Journals of Pure and Applied Sciences (DUJOPAS), 2018

Multi-core processor is an improvement over the Single-core processor architecture and represents... more Multi-core processor is an improvement over the Single-core processor architecture and represents the latest developments in microprocessor technology. Performance evaluation of algorithms can be carried out on a computer with different number of processing cores with a view to establish the level of their performances. This research paper carried out performance evaluation studies on three different Sorting algorithms namely: QuickSort-Sequential, QuickSort-ParallelNaive, and QuickSort-ForkJoin on a Single-core and Multi-core processors to determine which of the algorithms has better execution time, and to show the effect of Multi-processor machines on their performances. System.nanotime() benchmark suits was used to measure the performances of these three algorithms. The overall running time of these algorithms were reported and compared. Results showed that the running time of QuickSort-ForkJoin is about 46.62% faster than QuickSort-Sequential, and 31.20% faster than QuickSort-ParallelNaive. Therefore, QuickSort-ForkJoin algorithm exhibits better performance probably due to its divide and conquer approach. Work stealing action is also another reason for this good performance when measured on both single and Multi-core processor. It was also discovered that increase in a number of processing cores in a machine significantly improves the performances of these algorithms.

Research paper thumbnail of Personalizing Persuasive Educational Technologies to Learners' Cognitive Ability

—Persuasive Educational Technology (PET) is an effective tool for engaging students and promoting... more —Persuasive Educational Technology (PET) is an effective tool for engaging students and promoting learning, using various persuasive strategies. Research has shown that personalizing PET could increase their effectiveness at engaging students and promoting learning. Cognitive ability has been identified as an important factor that could lead to individual differences in learning. Yet, there is a gap in knowledge on how learners' ability on various cognitive dimensions identified by Bloom's Taxonomy, is associated with their susceptibility to distinct persuasive strategies often used in PETs designs. To fill this gap, we conducted a large-scale study of 402 students to investigate how their cognitive ability scores relate to their susceptibility to persuasive strategies (Reward, Social Learning, and Trustworthiness) that are commonly used in PET design. We assessed the Cognitive ability scores using the test questions adapted from the Educational Testing Service (ETS) Kit. Our results show that there is a relationship between individuals' cognitive abilities and their susceptibility to persuasive strategies. People with high ability to Remember and Evaluate concepts are more susceptible to the Reward Strategy, while those high in ability to Understand are positively associated with the Trustworthiness Strategy. Similarly, we uncovered that individuals high in the ability to Apply, Analyze, and Synthesize ideas are positively associated with the Social Learning Strategy. These findings can guide PET designers on how to develop PET tailored to learners belonging to different cognitive ability dimensions.

Research paper thumbnail of Personalizing Persuasive Technologies: Do Gender and Age Affect Susceptibility to Persuasive Strategies?

Personalizing Persuasive Technologies (PTs) increase their effectiveness at motivating desired be... more Personalizing Persuasive Technologies (PTs) increase their effectiveness at motivating desired behavioral change. However, most existing efforts towards personalizing PTs and developing personalization models were focused on people from the western countries. In this work, we focused on African audience to investigate how individual's responsiveness to three persuasive strategies (Reward, Social Learning, and Social Comparison) varies by Gender and Age group via a large-scale study of 712 participants. The results of a RM-ANOVA show significant differences in responsiveness to the strategies across the gender and age groups. Females are more responsive to the Reward and Social Learning strategies while males are more responsive to the social comparison strategy. People who are under 25 years are more likely to be persuaded by the Reward and social Learning than participants above 35 years who are more responsive to the Social Comparison strategy. The results will inform PT desig...

Research paper thumbnail of Personalizing Persuasive Technologies: Do Gender and Age Affect Susceptibility to Persuasive Strategies?

Personalizing Persuasive Technologies (PTs) increase their effectiveness at motivating desired be... more Personalizing Persuasive Technologies (PTs) increase their effectiveness at motivating desired behavioral change. However, most existing efforts towards personalizing PTs and developing personalization models were focused on people from the western countries. In this work, we focused on African audience to investigate how individual's responsiveness to three persuasive strategies (Reward, Social Learning, and Social Comparison) varies by Gender and Age group via a large-scale study of 712 participants. The results of a RM-ANOVA show significant differences in responsiveness to the strategies across the gender and age groups. Females are more responsive to the Reward and Social Learning strategies while males are more responsive to the social comparison strategy. People who are under 25 years are more likely to be persuaded by the Reward and social Learning than participants above 35 years who are more responsive to the Social Comparison strategy. The results will inform PT designers on the appropriate strategy to employ to personalize PTs to individual users based on their Age and Gender.