Designing Reason Support Systems to Increase Satisfaction, Enjoyment, and Intention to Use
Department
Business and Information Technology
Major
Information Science and Technology
Research Advisor
Twyman, Nathan W.
Advisor's Department
Business and Information Technology
Funding Source
Opportunities for Undergraduate Research Experiences (OURE); Laboratory for Information Technology Evaluation
Abstract
A Reason Support System (RSS) uses a web of interconnected logical statements that supports an overarching objective, goal, idea, or decision. Traditionally, groups or individuals have arrived at decisions using various methods such as brainstorming sessions, Post-it notes, whiteboards, or lengthy research. The result of these decisions can have negative consequences due to our tendencies to make biased decisions. Decision support systems (DSS) have been developed to help aid decision-making, some on an individual and some on a group scale. Although DSS have been shown to reduce error and improve decision quality overall, the adoption of these systems has been low. In this study, we evaluate the potential of a new type of DSS that focuses on the earliest process that affects the decision, namely, the reasoning that occurs when conceptualizing a problem space and work to implement certain design aspects to increase adoption among users.
Biography
Lindsey Carlson is a senior in Information Science and Technology from Republic, Missouri. She is minoring in Business as well as Human-Computer Interaction. Lindsey works at the Laboratory for Information Technology Evaluation as an assistant lab manager and is an intern at Deloitte Services LP. She is also an ambassador for the Business and Information Technology department and a very active member of the S&T Climbing Club. Her hobbies include camping, climbing, canoeing, and photography. She hopes to work in user experience after she graduates.
Research Category
Social Sciences
Presentation Type
Poster Presentation
Document Type
Poster
Award
Social science poster session, Second place
Location
Upper Atrium/Hallway
Presentation Date
11 Apr 2016, 9:00 am - 11:45 am
Designing Reason Support Systems to Increase Satisfaction, Enjoyment, and Intention to Use
Upper Atrium/Hallway
A Reason Support System (RSS) uses a web of interconnected logical statements that supports an overarching objective, goal, idea, or decision. Traditionally, groups or individuals have arrived at decisions using various methods such as brainstorming sessions, Post-it notes, whiteboards, or lengthy research. The result of these decisions can have negative consequences due to our tendencies to make biased decisions. Decision support systems (DSS) have been developed to help aid decision-making, some on an individual and some on a group scale. Although DSS have been shown to reduce error and improve decision quality overall, the adoption of these systems has been low. In this study, we evaluate the potential of a new type of DSS that focuses on the earliest process that affects the decision, namely, the reasoning that occurs when conceptualizing a problem space and work to implement certain design aspects to increase adoption among users.
Comments
Joint project with Nick Rollins