Paper Analysis
Theory
The paper employs the theory of species agents. This theory is exceptional since it uses interaction as its key control factor. It considers the current line of research founded on behavioral observation and technological studies that assume that emotions, arousal, and cognitive prowess lead to psychological, physiological, and behavioral responses that machines can differentiate. The research is based on the current assumption that sensors can apprehend both physical and behavioral prompts from human counterparts.
Research Design
The research is designed to interview persons and perceive alterations in arousal, behavior, and cognitive strength through psychophysiological information systems. This is achieved by the use of an automated kiosk that is equipped with intelligent proxies. The study describes the system and its importance and recommends a different group of intelligent agents, which are referred to as Special Purpose Embodiment Conversational Intelligence with Environmental Species (SPECIES). Through the SPECIES model, the paper looks into three different studies and examine diverse parts of the model, and then uses these studies to set a base for the research and development of an automated kiosk.
Analysis
The study finds out that the SPECIES agent can influence its embodiment model to impact the perception of certain systems. The findings for this paper were meant to offer an example of a model and sensor required for incorporation into the framework of SPECIES. Although it was not realistic to rely on voice completely when determining human emotions, the research showed that a properly designed single sensor can give SPECIES an environmental overview of human behavior or emotion.
Conclusion
The study concluded that SPECIES agents have impacts on the environment since they influence human behavior through different states of embodiment such as demeanor and gender, messages, and commendations. It also found out that manipulating embodiment states change the perceptions of participants towards the system and how a device can sense feelings and arousal.
References
Nunamaker, J. F., Derrick, D. C., Elkins, A. C., Burgoon, J. K., & Patton, M. W. (2011). Embodied conversational agent-based kiosks for automated interviewing. Journal of Management Information Systems, 28(1), 17-48.