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Ecological Interface Design: Progress and challenges

Ecological Interface Design: Progress and challenges. Kim J. Vicente, University of Toronto. Ecology. 4 metatheoretical commitments in human factors Reciprocity of person and environments Representative design of experiments and evaluations Primacy of perception Start with analyzing.

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Ecological Interface Design: Progress and challenges

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  1. Ecological Interface Design:Progress and challenges Kim J. Vicente, University of Toronto

  2. Ecology • 4 metatheoretical commitments in human factors • Reciprocity of person and environments • Representative design of experiments and evaluations • Primacy of perception • Start with analyzing

  3. The goal of EID • improve user performance and overall system reliability for anticipated and unanticipated events in a complex system • more cognitive resources, higher cognitive progress • one-level-at-a-time display led to the fastest detection times.

  4. Two Key concepts • the abstraction hierarchy (Rasmussen, 1985) • How and why relationships • Means-ends links • Work domain Analysis • Functional purpose • The goals & purpose of the system • Abstract function • Underlying laws & principles govern the goals of system • Generalized function • Explain the processes involved in laws & principles • Physical function • The physical components or equipment associated with the processes • Physical form • The condition, location, physical appearance of components

  5. Two Key concepts • the skills, rules, knowledge framework (Rasmussen, 1983) • Three types of behavior or psychological processes present in operator information processing • Skill-based behavior • Very little or no conscious control • Rule-based level • Use of rules and procedures to select a course of action in a familiar work situation • Knowledge-based level • More advanced level of reasoning

  6. Progress • Does EID Improve Performance? • EID lead to better performance than contemporary interface (Reising & Sanderson, 1998) • Be localized to more complex tasks • Why Does EID Improve Performance? • Not attributable merely to differences in visual form (Ham & Yoon, 2001b) • Functional information is critical (Ham & Yoon, 2001a) • Abstraction hierarchy analysis

  7. Progress • How can EID Be Leveraged? • Model-based training(Hunter, Vincente, Tanabe, 1996) • Self-explanation (Howie, Vicente, 1998) • Videotaped replay • Verbal protocols • Wholist cognitive style (Pask & Scott, 1972) • Relational thinking ability

  8. Application • many proof-of-concept tests showed EID can be applied to large-scale problems. • not all of the information will fit on one display or monitor • In aviation, EID was not sure to apply. • network management, Software engineering, Medicine, Command & Control, Information retrieval

  9. CHALLENGES • Time and Effort to Conduct the Analysis • Multimodal character • Visual form, audio channel • Sensor noise & Failure on performance • Not only EID But also Integrated Systems Design • Critical Analysis is needed

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