Table 10: Immersive Media

Sponsor: Research in Progress Roundtables
Thu, 11/17: 3:30 PM - 4:45 PM CST
Room: Grand Ballroom D/E - 5th Floor 
Submissions focus on immersive media.


Nicholas David Bowman, Syracuse University  - Contact Me


Research in Progress Roundtables


Embodied Better Self: An Integrated Model Examining Long-Term Implications of Video Game Use on Psychological Well-being through Self-Concept Change

This study aims to make causal inferences between regular video game use and its long-term effects on well-being and identify key mediators in the process. Building upon online self-effects research and social psychology, this study identifies self-concept change as a key mediator that explains how online need satisfaction (or not) may lead to offline self-concept change (for better or worse), thus enhancing (or impairing) one's psychological well-being. Essentially, this study aims to test whether video games could change well-being as a function of the spillover effects of online self-concept change. 


Mingxuan Liu, University of Southern California  - Contact Me

Exploring the effect of realism and transformation of augmented reality (AR) face filters on social media

This study looks at the relationship between transformation and realism levels of AR face filters and the user's affect and social media platform selection. Participants will rate the level of transformation and realism of AR face filters they are shown via qualtrics. They will then discuss which platform they would use that filter on, how they feel about the filter, their intent on using the filter, and their enjoyment on the filter. This study hopes to bring more information to the literature on AR face filters on social media. 


Maranda Marie Berndt, Pennsylvania State University  - Contact Me


Qing Xu, Pennsylvania State University  - Contact Me
Hannah Smith, Pennsylvania State University  - Contact Me

Meditation or Mystification: Understanding the Motivations, Experiences, and Data Comprehension of Spiritual Technologies Users

The symbiotic relationship between humans and machines (technology) has entered a new frontier with the advent of spiritual technologies. These technologies aid the users in secular spiritual practices such as meditation and other mindfulness exercises. Spirituality has been an essential component of people's overall well-being, and it is paramount to understand their relationship with technology in augmenting this aspect of their lives. This study looks at the human element of human-machine communication (HMC) in the context of one such spiritual technology-Muse. Consumer-grade wearable electroencephalography (EEG) device, Muse helps users maintain their attention and awareness during a meditation session through real-time biofeedback data. With an exploratory interpretive design approach, this study looks at the human-machine dyad through the lens of self-determination theory (SDT) and identifies critical events in the development of this relationship. Findings are expected to expand the understanding of the human-machine relationship in the context of spiritual technologies, how they affect users' overall well-being, and assist in improving these technologies by incorporating the users' perspective 


Bhakti Sharma, University of Florida  - Contact Me


Benjamin K. Johnson, University of Florida  - Contact Me
Judith Rosenbaum, University of Maine  - Contact Me
Hayley Markovich, University of Florida  - Contact Me

Role of Social Cognitive Schema in Comparing AI and Human Conversational Agents' Trust

Several studies have examined the difference between people's attitude toward AI and human
agents in contexts including forecasting, content moderation, news creation, medical diagnoses,
and more. Such research has focused on perceptions of AI agents as a function of their objective
performance. Significantly, these studies lack the theoretical underpinning required to more
broadly describe the process of social cognition involved in the formation of our perceptions
toward artificially intelligent agents in the modern social environment. Our in progress work
fills this theoretical gap by investigating the effects of schema -existing knowledge structures-
on people's attitudes toward AI agents in comparison to human agents. We plan to conduct a 3
(schema type: object vs person vs role) x 2 (agent's identity: AI vs Human) between-subject
study. We expect to find disparate attitudinal patterns for AI and human agents influenced by
schema type. Additionally, we anticipate to see more favorable attitudes toward both AI and
human agents under role schema conditions relative to person and object schema conditions.
The interaction effects between agents' identity and schema will be explored by our present


Arti Thakur, University of California, Davis  - Contact Me


William David Weisman, University of California, Davis  - Contact Me
Wang Liao, University of California, Davis  - Contact Me

The Effects of Social Exclusion on Stakeholder Engagement with Chatbots

Chatbots represent a new frontier of strategic communication to engage stakeholders in interactive, one-on-one conversations. To better understand how chatbots may satisfy stakeholders' social and relational needs, this study evaluates the effects of social exclusion–an experience that is likely made more common by political polarization, cancel culture, and the COVID-19 pandemic–on stakeholders' response to anthropomorphized chatbots and their affiliated organizations. By recognizing the different forms of social exclusion-being ignored versus rejected, we will further explore the potentially different mechanisms underlying ignored and rejected stakeholders' responses to chatbots via senses of control and parasocial interaction, respectively. 


Xiaofeng Jia, University of Miami  - Contact Me


Xinyu Zhao, University of Miami  - Contact Me
Weiting Tao, University of Miami  - Contact Me
Ching-Hua Chuan, University of Miami  - Contact Me
Wanhsiu Tsai, University of Miami  - Contact Me