Albert Park

Dr. Albert Park

College of Computing and Informatic, The University of North Carolina Charlotte, Charlotte, NC 28223, USA
orcid

Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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20 March 2017 in Journal of Medical Internet Research
Verified
Journal Article
Open access
Albert ParkAlbert Park
Albert Park
MCMike Conway
Mike Conway
Journal of Medical Internet Research - International Scientific Journal for Medical Research, Information and Communication on the Internet

10 April 2018 in Journal of Medical Internet Research
Verified
Journal Article
Open access
Albert ParkAlbert Park
Albert Park
MCMike Conway
Mike Conway
Journal of Medical Internet Research - International Scientific Journal for Medical Research, Information and Communication on the Internet

4 January 2022 in JMIR Formative Research
Verified
Journal Article
Open access
AAAdesoji Ademiluyi
Adesoji Ademiluyi
CLChuqin Li
Chuqin Li
Albert ParkAlbert Park
Albert Park
Background: The growth of social networking has created a paradigm in which many forms of personal communication are being replaced by internet communication technologies, such as social media. This has led to social issues, such as cyberbullying. In response, researchers are investigating cyberbullying to determine its implications in various life sectors. Objective: This manuscript reviews the methods, results, and limitations of the current cyberbullying research and discusses the physical and mental repercussions of cyberbullying and social exclusion as well as methods of predicting and counteracting these events. On the basis of the findings, we discuss future research directions. Methods: Using ScienceDirect, ACM Digital Library, and PubMed, 34 research articles were used in this review. A review was conducted using the selected articles with the goal of understanding the current landscape of cyberbullying research. Results: Studies have analyzed correlations between depressive and suicidal ideations in subjects as well as relationships in the social, educational, and financial status of the perpetrators. Studies have explored detection methods for monitoring cyberbullying. Automated detection has yet to become effective and accurate; however, several factors, such as personal background and physical appearance, have been identified to correlate with the likelihood that a person becomes a survivor or perpetrator of web-based cybervictimization. Social support is currently common in recovery efforts but may require diversification for specific applications in web-based incidents. Conclusions: Relations between social status, age, gender, and behaviors have been discovered that offer new insights into the origins and likeliness of cyberbullying events. Rehabilitation from such events is possible; however, automatic detection is not yet a viable solution for prevention of cyberbullying incidents. Effects such as social exclusion and suicidal ideations are closely tied to incidents of cyberbullying and require further study across various social and demographical populations. New studies should be conducted to explore the experiences of survivors and perpetrators and identify causal links. The breadth of research includes demographics from China, Canada, Taiwan, Iran, the United States, and Namibia. Wider ranges of national populations should be considered in future studies for accurate assessments, given global internet communication technology activity. The studies emphasize the need for formal classification terminology. With formal classification, researchers will have a more definite scope, allowing specific research on a single definable topic rather than on general bullying events and symptoms. Of all the studies, 2 used a longitudinal design for their research methodology. The low number of longitudinal studies leaves gaps between causation and correlation, and further research is required to understand the effects of cyberbullying. Research addressing ongoing victimization is required for the various forms of cyberbullying; social support offers the most effective current standard for prevention.

11 December 2022 in Clinical Gerontologist
Verified
Journal Article
Closed access
OLOthelia EunKyoung Lee
Othelia EunKyoung Lee
HLHyenjoo Lee
Hyenjoo Lee
Albert ParkAlbert Park
Albert Park
NCNamkee G Choi
Namkee G Choi
Using a friendship framework, we explored interactions between a multi-functional companion robot and older adults residing in a low-resource community in South Korea. We conducted in-depth interviews with 12 older adults who kept a doll-shaped companion robot called Hyodol for 18 months on average. We applied the Framework Analysis Method to explore three types of friendship (i.e., friendships of utility, pleasure, and the good) that participants cultivated with the robot. The most common aspect of utility companionship reported by all participants was Hyodol's role as their health coach who reminded them to take medication and to exercise. Participants also found pleasure in playing with Hyodol and reported reduced feelings of loneliness. In the absence of other social supports, all participants also regarded Hyodol as a surrogate family member or human-friend, and interacted with Hyodol as such. Findings illustrated high acceptability of Hyodol among these socially isolated older adults especially during the global COVID-19 pandemic, suggesting that a humanoid like Hyodol could be complementary to homecare services for solo-living older adults. Well-designed robot interventions, as complements to existing aging service and clinical interventions, have a potential to improve health behaviors among socially isolated older adults.

3 November 2022 in Journal of Applied Gerontology
Verified
Journal Article
Closed access
OLOthelia E. K. Lee
Othelia E. K. Lee
INIlsung Nam
Ilsung Nam
YCYongho Chon
Yongho Chon
Albert ParkAlbert Park
Albert Park
NCNamkee G Choi
Namkee G Choi
Using a mixed-method study design, we examined the effects of a socially assistive humanoid robot (SAHR), called Hyodol, on depressive symptoms and health-related quality of life (HRQOL) of low-income, socially isolated older adults ( N = 180). Quantitative outcomes were assessed at baseline (before Hyodol deployment) and at 3 and 6 months after baseline. Results showed reduced depressive symptoms and improved HRQOL at 3 months; however, these positive effects did not extend to 6 months. Ten focus group participants perceived Hyodol to be a valuable companion especially during the COVID outbreak. These results suggest that while Hyodol may have provided companionship for some low-income, socially isolated older adults during home confinement, its effects on depression and HRQOL were limited. Further research is needed to assess long-term effects of SAHRs as appropriate tools for reducing social isolation and improving behavioral health among community-dwelling older adults.