Assistance design features, e.g. decisional guidance, explanations, decision aids, and recommender systems, support individuals in their decision-making and task execution. Most of the assistance features either are invoked manually or ever present, which might result in annoyed or dissatisfied users. A famous example for this is Clippy by Microsoft. Researchers propose to provide assistance in an intelligent invocation style. In order to provide the assistance in an intelligent fashion, the assistance system needs to somehow identify the individuals’ need for assistance. However, there is little knowledge and theories on which individuals’ physiologic or psychological patterns, behaviors, activities, or states can be used as a reliable indication for individuals' need for assistance. This Bachelor thesis conducts a review on empirical as well as conceptual research investigating individuals’ need for assistance in the domain of information systems, human-computer interaction, manufacturing, and computer science.
Goal of the Thesis
The goal of this Bachelor thesis is to conduct a literature review on empirical and conceptual research investigating individuals’ need for assistance in the information systems, human-computer interaction, manufacturing, and computer science domain. Based on the identified research, propositions for design features for an intelligent assistance invocation shall be derived and implications for future research discussed.
- English skills
- Ability to review and synthesize literature