Matching Items (2)
Filtering by
- Creators: Patterson, Robert
- Creators: Walker, Erin
Description
Technological advances in the past decade alone are calling for modifications to the usability of various devices. Physical human interaction is becoming a popular method to communicate with user interfaces. This ranges from touch-based devices such as an iPad or tablet to free space gesture systems such as the Microsoft Kinect. With the rise in popularity of these types of devices comes the increased amount of them in public areas. Public areas frequently use walk-up-and-use displays, which give many people the opportunity to interact with them. Walk-up-and-use displays are intended to be simple enough that any individual, regardless of experience using similar technology, will be able to successfully maneuver the system. While this should be easy enough for the people using it, it is a more complicated task for the designers who are in charge of creating an interface simple enough to use while also accomplishing the tasks it was built to complete. A serious issue that I'll be addressing in this thesis is how a system designer knows what gestures to program the interface to successfully respond to. Gesture elicitation is one widely used method to discover common, intuitive, gestures that can be used with public walk-up-and-use interactive displays. In this paper, I present a study to extract common intuitive gestures for various tasks, an analysis of the responses, and suggestions for future designs of interactive, public, walk-up-and use interactions.
ContributorsVan Horn, Sarah Elizabeth (Author) / Walker, Erin (Thesis director) / Danielescu, Andreea (Committee member) / Economics Program in CLAS (Contributor) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2015-05
Description
Intuitive decision making refers to decision making based on situational pattern recognition, which happens without deliberation. It is a fast and effortless process that occurs without complete awareness. Moreover, it is believed that implicit learning is one means by which a foundation for intuitive decision making is developed. Accordingly, the present study investigated several factors that affect implicit learning and the development of intuitive decision making in a simulated real-world environment: (1) simple versus complex situational patterns; (2) the diversity of the patterns to which an individual is exposed; (3) the underlying mechanisms. The results showed that simple patterns led to higher levels of implicit learning and intuitive decision-making accuracy than complex patterns; increased diversity enhanced implicit learning and intuitive decision-making accuracy; and an embodied mechanism, labeling, contributes to the development of intuitive decision making in a simulated real-world environment. The results suggest that simulated real-world environments can provide the basis for training intuitive decision making, that diversity is influential in the process of training intuitive decision making, and that labeling contributes to the development of intuitive decision making. These results are interpreted in the context of applied situations such as military applications involving remotely piloted aircraft.
ContributorsCovas-Smith, Christine Marie (Author) / Cooke, Nancy J. (Thesis advisor) / Patterson, Robert (Committee member) / Glenberg, Arthur (Committee member) / Homa, Donald (Committee member) / Arizona State University (Publisher)
Created2011