Hyanghee Park

Recently, Artificial Intelligence (AI) has been used to enable efficient decision-making in managerial and organizational contexts, ranging from employment to dismissal. However, to avoid employees’ antipathy toward AI, it is important to understand what aspects of AI employees like and/or dislike. In this paper, we aim to identify how employees perceive current human resource (HR) teams and future algorithmic management. Specifically, we explored what factors negatively influence employees’ per

Both enterprises and their employees have globally experienced remote work at an unprecedented scale since the outbreak of COVID-19. As the pandemic becomes less of a threat, some companies have called their employees back to a physical office, citing issues related to working remotely, but many employees have refused to return. Thus, working in the metaverse has gained much attention as an alternative that could complement the weaknesses of completely remote work or even offline work. However,

Enterprises have recently adopted AI to human resource management (HRM) to evaluate employees’ work performance evaluation. However, in such an HRM context where multiple stakeholders are complexly intertwined with different incentives, it is problematic to design AI reflecting one stakeholder group's needs (e.g., enterprises, HR managers). Our research aims to investigate what tensions surrounding AI in HRM exist among stakeholders and explore design solutions to balance the tensions. By conduc

A growing number of students in higher education are using ChatGPT for various educational purposes, ranging from seeking information to writing essays. Although many universities have officially banned the use of ChatGPT because of its potential harm and unintended consequences, it is still important to uncover how students leverage ChatGPT for learning, what challenges emerge, and how we can make better use of ChatGPT in higher education. Thus, we conducted focus group workshops and a series o

Sexual assault survivors hesitate to disclose their stories to others and even avoid case-reporting because of psychological, social, and cultural reasons. Thus, conversational agents (CAs) have gained much attention as a potential counselor because CAs’ characteristics (e.g., anonymity) could mitigate various difficulties of human-human interaction (HHI). Despite the potentials, it is difficult to design a CA for survivors because various aspects should be considered. Especially, with tradition

Sexual violence victims hesitate to disclose their story to other people for help and often do not report the case to the police because it might lead to unwanted consequences. Thus, conversational agents (CAs) have been in the spotlight as a counselor since they are easily-accessible and nonjudgmental unlike humans. Despite the optimistic view, it is still important to look at what burden victims have when trying to converse with a machine. Thus, this paper aims to identify victims' burdens of

Photos are useful means of disclosing and sharing one's emotions and ordinary life. By uploading personal photos in SNS, people tend to manage their relationships with friends and develop new relationships in SNS. Though users' behavior of showing private pictures is considered to be common, there is little research on what kind of contents attract people's attention and become popular in SNS. The aim of this study is to empirically examine what kind of private and personal pictures attract more

The process of installing and removing smartphone apps is simple, but choosing which apps to install or remove requires users' time and effort because users need to categorize and think about which apps they will still use and not use based on their memory and behavior. Although there have been several studies on app recommendation, there is relatively a sparse understanding on what motivates users to take an action to delete apps which they no longer use. In this study, we aim to investigate (1

From initial case-reporting at the crime scene to finishing legal procedures, survivors of sexual assault navigate numerous human and technological resources provided by various organizations. During the help-seeking process, survivors unavoidably interact with multiple professional stakeholders (e.g., legal authorities) and technologies (e.g., checking their case status on a court website). In the long and complex process, survivors experience interactional breakdowns with technology, and/or hu

Although the metaverse workspace has the potential to solve some of the drawbacks of remote work while maintaining its benefits, there are few real-world cases of adopting the metaverse as a legitimate workspace and fewer subsequent studies on how to design and operate the metaverse workspace. Thus, questions exist about the organizational or sociotechnical challenges that may emerge and how decisions are made when adopting and operating the metaverse workspace in a real-world setting. To answer

In my thesis, I revisit, specialize, and expand the concept of ‘user burden’ in three different contexts. In the first study, I explore what user burdens occur when deleting unused apps. To do so, I have conducted in-depth interviews, designed questionnaires, and performed scenario-based experiments. In my second study, I designed and developed a conversational agent that documents and reports cases of sexual assault survivors to the police on behalf of the survivors. To discover survivors’ burd

Despite the prevalence of autism spectrum disorder (ASD) and other developmental disabilities (DD) worldwide, children with ASD and DD face tremendous difficulties receiving support due to physical, financial, and psychological barriers to onsite health and education clinics. As a result, researchers and practitioners have designed software solutions aimed at providing accessible support to meet users’ needs. However, we have limited knowledge of whether these solutions indeed work in real-world

성범죄 생존자들은 범죄 경험 직후 도움을 구하는 초기 과정과 사건 접수처리를 하고 회복을 하는 모든 과정에서 다양한 종류의 어려움을 겪는다. 본 연구는 이러한 어려운 과정에서 성범죄 생존자들이 원하는 기술을 직접 디자인해봄으로써 그들의 기술에 대한 니즈를 밝히고자 한다. 사용자 (= 생존자) 중심적 디자인 접근법을 활용하여 스무명의 생존자들과 함께 그들이 필요로 하는 기술들을 직접 디자인하였다. 이를 위해 참여디자인 및 반구조화 인터뷰 방법론을 실시하였으며 그 결과 생존자의 어려움과 니즈를 반영한 여러 기술들을 디자인하였다. 참여자들은 위험상황 특성상 성범죄 상황 파악의 어려움, 기억회상의 어려움, 생존자의 신체/정신건강 상황의 어려움, 타인에 의한 2차 피해 등을 주요 어려움이라고 밝혔다. 이러한 어려움을 해결하기 위해 총 다섯 가지 주제의 기술로 응급상황에 대비한 기술 (예: 대화형 에이전트, 스마트워치기반 자동 목소리 녹음 기술), 기억회상을 돕는 기술 (예: VR기반 범죄 현

Photos are strategic means of expressing and sharing one’s emotions and ordinary life. By sharing private pictures in social media, people tend to keep their relationships with friends and build new relationships online. Although users’ behavior of disclosing private pictures becomes common, there is little research on what kind of contents attract people and get popular in social media. The objective of this research is to empirically examine what kind of pictures receive more likes on Inst