Cognition and software development

Stacy, Webb

doi:10.1145/203241.203250

Cited by 5 publications

(3 citation statements)

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“…Until recently this was a difficult proposition. Over the past few years, cognitive scientists have gained a deeper understanding of the needs of developers and users, and designers have gained a deeper understanding of cognition and the mental aspects of programming (Stacy, 1995). A framework to help assess the likely direction of the human-machine exchanges may include categorizations by the probable types of cognitive processes triggered during the interactions.…”

Section: Correlating Software Design Variables and Cognitive Learning Patternsmentioning

confidence: 99%

Cognitive maps, AI agents and personalized virtual environments in Internet learning experiences

Maule¹

1998

Internet Research

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This paper develops frameworks to help Internet media designers address end-user information presentation preferences by advancing structures for assessing metadata design variables. Design variables are then linked to user cognitive styles. An underlying theme is that AI methodologies may be used to help automate the Internet media design process and to provide personalized and customized experiences. User preferences concerning knowledge acquisition in online experiences provide the basis for discussions of cognitive analysis, and are extended into structural implications for media design and interaction. The assumption is made that frameworks for the alignment of design metadata with user metacognitive elements may serve as a reference to aid information design for Internet-based media.

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Section: Correlating Software Design Variables and Cognitive Learning Patternsmentioning

confidence: 99%

Cognitive maps, AI agents and personalized virtual environments in Internet learning experiences

Maule¹

1998

Internet Research

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“…Thus, there is a need for us to identify and understand these sources of biases in order to recognize and control them. Researchers such as Stacy (1995), and Stacy and MacMillian (1995) have also argued for the importance of understanding cognitive biases in software development. They argued that the awareness of these human biases will lead to better software engineering practice, and better understanding between the analysts and end-users.…”

Section: --Frank Lloyd Wrightmentioning

confidence: 99%

When parents need not have children — Cognitive biases in information modeling

Siau

Wand

Benbasat

1996

Notes on Numerical Fluid Mechanics and Multidisciplinary Design

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Cognitive biases associated with human judgment and choice are widely studied, recognized, and documented in behavioral decision research. It is also well accepted that an understanding and acknowledgment of these biases are vital to mitigate their effects. However, research into cognitive biases in information modeling is virtually lacking. Lest one assumes that research on cognitive biases is irrelevant to the field, information modeling is a cognitively intensive activity and is, thus, highly susceptible to such biases. There is a pressing need then, to identify and understand these human biases in order to lessen their effects. This paper describes an experiment designed to investigate the use of syntactic and semantic information by modeling experts. The experimental results indicate that when interpreting information models, modeling experts tend to focus on the syntactic aspects of information and totally ignore the semantic information, even in situations where the semantic information is deafly more representative of the real world situation. These biases exhibited by modeling experts are explained using the learning paradigm in cognitive psychology.

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“…Johnson (1992) . Humanoriented user interface development requires at least a rough understanding of the cognitive processes involved in these interactions (Stacy 1995). In order to enable an epistemologically and empirically sound integratio n of cogn itive m odeling based on constructivist understanding of human ± computer interaction into techniques and processes for user interface developm ent, in (Peschl et al 1998) we suggest revealing empirical knowledge about cogn itive systems, their structure, and their dynam ics.…”

Section: Introductionmentioning

confidence: 99%

Representation still matters: Cognitive engineering and user interface design

Stary¹,

Peschl²

1998

Behaviour & Information Technology

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Abstract.With the increased utilization of cognitive models for designing user interfaces several disciplines started to contribute to acquiring and representing knowledge about users, artifacts, and tasks. Although a wealth of studies already exists on modeling mental processes, and although the goals of cognitive engineering have becom e quite clear over the last decade, essential epistemological and methodological issues in the context of developing user interfaces have remained untouched. However, recent challenging tasks, namely designing information spaces for distributed user comm unities, have led to a revival of well known problem s concerning the representation of knowledge and related issues, such as abstraction, navigation through information spaces, and visualization of abstract knowledge. All of these issues are associated with mental processes and thus, might becom e part of cognitive models. In this paper we reveal epistemological and methodological assumptions in the ® eld of cognitive modeling as well as their implications for user interface design. It turns out that in order to achieve the goal of developing hum an-oriented (in contrast to technology-driven) hum an-computer interfaces developers have to develop knowledge of the structure and the representational dynam ics of the cognitive systems which are interacting with the computer. We show that in a ® rst step it is necessary to study and investigate the diOE erent levels and forms of representation that are involved in the interaction processes between computers and human cognitive systems. We propose a hybrid user modeling approach as part of the task-based development procedure in TADEUS (Task Analysis/Design/End User Systems). The hybrid approach does not only enable the representation of functional roles end users have to perform, but also how end users perform these roles, i.e. the representation and re¯ection, if not prediction of their behavior. This way, holistic system developm ent that equally takes into account the organizational requirem ents and the end user reality at work places is facilitated.

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Cognition and software development

Cited by 5 publications

References 0 publications

Cognitive maps, AI agents and personalized virtual environments in Internet learning experiences

Cognitive maps, AI agents and personalized virtual environments in Internet learning experiences

When parents need not have children — Cognitive biases in information modeling

Representation still matters: Cognitive engineering and user interface design

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