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Human Computer Interaction Research in the MIS Discipline

Human Computer Interaction Research in the MIS Discipline. HCI Panel AMCIS ’02 Dr. Jane M. Carey. Definition of HCI.

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Human Computer Interaction Research in the MIS Discipline

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  1. Human Computer Interaction Research in the MIS Discipline HCI Panel AMCIS ’02 Dr. Jane M. Carey

  2. Definition of HCI • “Human Factors in IS (HCI) is the scientific study of the interaction between people, computers, and the work environment. The knowledge gained from this study is used to create information systems and work environments which help to make people more productive and more satisfied with their work life.” (Beard & Peterson, 1988) Consensus definition from the HFIS Symposia series

  3. Decision Making Environment Informational Attributes Human Characteristics Man/Machine Interface Mason & Mitroff (1983)- MIS Relational Triad Organizational context Problem type Leadership style of org Hierarchical level of DM Uncertainty & risk Cognitive style Psychological type Communication skills Informational needs User experience User attitude Scope ,Timeliness Mode of presentation, Horizon, Accuracy Format, Value

  4. Huber, Management Science 1983 • “Cognitive Style as a basis for MIS and DSS designs: Much ado about nothing?” • This article had a dampening effect on studying human computer interaction due to the prestige of Management Science and the limited means available to measure cognitive style at the time • At the time, most MIS researchers studying human/computer interaction used Myers/Briggs type indicator to measure CS

  5. Referent Disciplines for HCI MIS/Computer Science Human Factors Engineering – Ergonomics Management Theory Psychology Organizational Behavior

  6. Models of HCI HFIS Symposia Series (1986-1997) Organization Interface Specification Tools IS Professional Computer System/User Communication (Documentation) Human/Computer Interaction End User Involvement Information Presentation USER

  7. A Model of HCILong & Whitfield (1989) Science Support Representations Real World Intermediary Representations Generalize Human Science Analyze Acquisition Representation People + Computer Science Computers Synthesize Particularize + Acquisition Representation Other Science Other

  8. Research Agenda for HCILewis (1990) • 1. Understand user goals and preferences (interface design theory) • 2. Broaden applied cognitive theory (problem representation) • 3. Support innovation (technology to support interface design) • 4. Credit assignment (measure the impact of interface design on performance)

  9. HCI Independent & Dependent Variables

  10. Measurement Issues in HCINewsted, Todd, & Zmud, 1997 • Theories require constructs & constructs require measurement, therefore no theory without measurement • Definitional concerns (conceptual ambiguity and conceptual overlap) • Concerns with construct-context interaction (such as the tight construct-context linkage in task performance) • Zmud & Boynton criteria for instrumentation • Multiple-item scale • Ability to find and use an instrument • Description in refereed source • Assessment of psychometric properties • Classifying measures • Outcome versus process measures • Perceptual versus behavioral measures • Obtrusive versus non-obtrusive measures • Qualitative versus Quantitative measures

  11. Measurement Issues in HCINewsted, Todd, & Zmud, 1997 • Instrument validation for experimentation • Construct validation • Manipulation & measurement • Covariate measurement • Experimenter effects • Online data capture • Conclusion – HCI measures are improving, but have a long way to go

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