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Modelling and Designing User Assistance in Intelligent Environments ( MODIE 2006 ) in Conjunction with the 8 th International Conference on Hum an Computer Interaction with Mobile Devices and Services ( MobileHCI 200 6 )
| Content Provider | Semantic Scholar |
|---|---|
| Author | Bair Pederson, Thomas Pinto, Helder Schmitz, Michael Stahl, Christoph Terrenghi, Lucia |
| Copyright Year | 2006 |
| Abstract | In this paper, we present our position on user experience methods for designing and evaluating intelligent environments in a user assistance context; a combination of narrative interviews, a scenario-based approach and finally Wizard-of-Oz prototyping. Users typically do not have any experience with intelligent environments, making it difficult to reliably assess user experience with such systems. An integrated scenario helps us focus on the user from the beginning on, narrative interviews help us understand the user in a very early phase of development and Wizard-of-Oz prototyping allow us to test early and often in the design of intelligent environments. The application of these three methods in a specific project on cognitive vision is described, as well as their advantages and disadvantages as methods for assessing user experience in intelligent environments in general. 1.INTRODUCTION Cognitive vision is the name of the combined technology that allows computer systems to 'see' and to make sense out of what they see. The computers are then able to acquire knowledge about objects and activities in the environment (the vision part of cognitive vision) and use this knowledge to improve the interaction and better serve users needs (the cognitive part of cognitive vision). Through its cameras, it can connect the real physical world with the virtual computational world and creates possibilities for proactive instead of reactive systems, systems that can detect, locate, recognize and understand objects and situations in the real world [8]. A cognitive vision system can show purposive goal-directed behavior, can adapt to unforeseen changes, and can anticipate the occurrence of objects and events [5]. This technology is still under heavy development and can be seen as the next step in computer development [3]. The introduction of systems that can see their environment and understand it requires a paradigm shift in the way we interact with a system. As computers acquire more human capabilities, humanmachine-interactions can more and more approach human to human interaction instead of the more traditional way of interaction (GUI-style). For instance, a personal assistant in the office can be created using this technology 9. This assistant can take the form of an agent that can help the user locate his or her keys, books or notes, can automatically give background information to something the user touches, give deadline reminders, et cetera. In short, it can bring some advantages of the digital world into the physical world. In this position paper, we present the three methods we have used successfully to analyze user interaction with an intelligent system designed to provide user assistance, in different phases of the development process. The first phase consisted of scenariodevelopment to guide design and provide a general framework for the project development. This scenario helps us focus on the user already very early in the design process. Although this phase is focused on the user, users themselves are not directly involved in this phase. The second phase is the first phase in which users are included, where we investigate users’ experiences and emotions evoked by current technology based on narrative interviews to create a better understanding of who the users are and how they feel about intelligent systems and how they experience and interact with technology. This phase includes no technology as such yet. In the third phase, then, still very early on in the development process, we experiment with user interaction with a ‘real’ cognitive vision system, by means of a wizard-of-oz prototype. We will discuss these three methods that allow us to gain insight in user experiences with intelligent technology in a very early phase of its application. 2.THE SCENARIO-BASED APPROACH The first step we took in the cognitive vision project is based on providing an integrated scenario for guiding and evaluating the concept, the technology and the interactions associated with cognitive vision technology. Users themselves are not involved in this early phase in the design process. Instead, the scenarioapproach can be seen as a meta-approach to the project, where it aids user-centered development, provides strong focus and makes challenges clear. The development of (cognitive) vision technologies is making constant progress and first applications for the end-users can be expected soon. Typically the development of such applications is only driven by the availability of new technology and only minor effort is made to design the interaction between the user and the system. Here scenarios come in, as they have the power to visualize systems that do not exist yet vividly and can present possible ways to interact with them. Our starting point was that scenario-based process models could help significantly to deal |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://w5.cs.uni-sb.de/workshops/modie06/MODIE-Proceedings.pdf |
| Alternate Webpage(s) | http://www.cs.umu.se/~top/pubs/MODIE-Proceedings.pdf |
| Alternate Webpage(s) | http://www8.cs.umu.se/~top/pubs/MODIE-Proceedings.pdf |
| Alternate Webpage(s) | https://people.cs.umu.se/top/pubs/MODIE-Proceedings.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
