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