The role of cognitive theory in human–computer interface

Chalmers, P.

doi:10.1016/s0747-5632(02)00086-9

Cited by 148 publications

(101 citation statements)

References 30 publications

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“…Cognitive load theory distinguishes between cognitive load and cognitive effort. 1 Generally, cognitive load represents the load that performing a given task, or more specifically a task's representation, imposes on the cognitive system, i.e., the working memory of a user in terms of information processing demands (Chalmers 2003, Sweller et al 1998. Cognitive effort refers to the amount of cognitive resources that a user must allocate to accommodate the task representation's information processing demands (Paas and Van Merriënboer 1994).…”

Section: Perceived Ease Of Usementioning

confidence: 99%

Rate or Trade? Identifying Winning Ideas in Open Idea Sourcing

Blohm

Riedl

Füller

et al. 2016

Information Systems Research

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I nformation technology (IT) has created new patterns of digitally-mediated collaboration that allow opensourcing of ideas for new products and services. These novel sociotechnical arrangements afford finely-grained manipulation of how tasks can be represented and have changed the way organizations ideate. In this paper, we investigate differences in behavioral decision-making resulting from IT-based support of open idea evaluation. We report results from a randomized experiment of 120 participants comparing IT-based decision-making support using a rating scale (representing a judgment task) and a preference market (representing a choice task). We find that the rating scale-based task invokes significantly higher perceived ease of use than the preference market-based task and that perceived ease of use mediates the effect of the task representation treatment on the users' decision quality. Furthermore, we find that the understandability of ideas being evaluated, which we assess through the ideas' readability, and the perception of the task's variability moderate the strength of this mediation effect, which becomes stronger with increasing perceived task variability and decreasing understandability of the ideas. We contribute to the literature by explaining how perceptual differences of task representations for open idea evaluation affect the decision quality of users and translate into differences in mechanism accuracy. These results enhance our understanding of how crowdsourcing as a novel mode of value creation may effectively complement traditional work structures.

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Section: Perceived Ease Of Usementioning

confidence: 99%

Rate or Trade? Identifying Winning Ideas in Open Idea Sourcing

Blohm

Riedl

Füller

et al. 2016

Information Systems Research

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“…La productividad científi ca sobre usabilidad analizada en el presente trabajo podría estar infrarrepresentada por el hecho de que ésta aún no se ha establecido como una disciplina científi ca específi ca, sino que durante mucho tiempo y aún hoy en día se ha englobado dentro del campo más amplio Human Computer Interaction (Preece, 1993), con aportaciones de la Psicología (Chalmers, 2003), la Etnografía (Hillier, 2003), la Ingeniería (Monk, 1995) y la Informática (Preece, 1993). El área de conocimiento en la que se enmarca todavía no está defi nida, si bien en la actualidad existen iniciativas que pretenden delimitar, mediante encuestas a profesionales de la usabilidad, un cuerpo de conocimiento común (Usability Professionals ' Association, 2007).…”

Section: Discussionunclassified

An analysis of the scientific productivity and visibility of publications on usability (1971-2005)

Bolaños-Pizarro¹,

Vidal-Infer²,

Navarro-Molina³

et al. 2009

Rev. esp. doc. cient.

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Resumen:Objetivo: Analizar los artículos sobre usabilidad publicados durante el periodo 1971-2005 desde el punto de vista bibliométrico. Material y Métodos: Para obtener los trabajos se interrogaron las bases de datos del CSIC, Social Science Citation Index, Science Citation Index, PsycInfo, MEDLINE e Inspec mediante estrategias de búsqueda diseñadas ad hoc para cada base de datos. Se calcularon los índices de aporte, aporte específi co y solapamiento y los indicadores de evolución de la productividad científi ca, productividad de las instituciones de trabajo y de las revistas, y distribución de las revistas por área de conocimiento. Resultados: Se ha observado un crecimiento exponencial de los artículos publicados, más acusado en el último quinquenio. Las instituciones más productivas son fundamentalmente universitarias y estadounidenses y las revistas más productivas pertenecen al campo de la informática, ingeniería y psicología. Conclusiones: en la actualidad existe una incógnita sobre la consideración de la usabilidad como ciencia o disciplina científi ca, ya que no cuenta con un currí-culo formativo acorde, ni un perfi l profesional determinado, ni un área específi ca de conocimiento en la que se pueda englobar.

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“…The concept of schema theory has been found to be suitable to achieve this aim. Schema theory has been described as the basic building blocks of knowledge and intellectual development that store concepts in human memory [6]. According to Sweller, knowledge and related intellectual skill is heavily dependent on schema acquisition [20].…”

Section: A Applying Schema Theory To Open Learningmentioning

confidence: 99%

“…According to Sweller, knowledge and related intellectual skill is heavily dependent on schema acquisition [20]. In addition, it is stated that an organizing schema is especially important for novice learners and essential for low ability learners [6]. Based on that, the authors found that learning concepts need to be presented in such a way that ensures the building of that schema in learners' memories and consequently to assist in the learning process.…”

Section: A Applying Schema Theory To Open Learningmentioning

confidence: 99%

“…The focus is on the organization and orientation of learning materials and the management of various learners' preferences. Knowledge map was selected to organize learning concepts as an implementation of the concept of schema theory [6]. Felder and Silverman's theory for learning styles was selected to personalize the learning environment and provide learning materials in such a way that it suits every learner's preferences and needs [7].…”

Section: Introductionmentioning

confidence: 99%

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Boosting the Opportunities of Open Learning (MOOCs) through Learning Theories

Fasihuddin¹,

Skinner²,

Athauda³

2014

GSTF J Comput

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The recent evolution of computing technology has led to dramatic developments and changes in online learning. Open learning is a new form of online learning that allows learning materials to be freely available on the Internet and accessible to anyone who is interested. Different initiatives, which are based on the open learning concept, have been initiated by various prestigious institutions. Although all of these initiatives provide courses with free access to content, each has its own approach in terms of teaching, assessment and even their own goals of defining an open learning environment. Massive Open Online Courses is the term for courses provided in these open environments. These courses attract a large number of learners, however their success and efficacy in terms of the learning process has yet to be determined. The authors found that there is no clear model for open learning environments and therein lies our research objective. Many aspects still need to be considered and addressed in order to achieve a reliable and sustainable model. These aspects can be addressed with consideration to the principles of cognitive science so that better learning models can be obtained. This paper presents some learning theories that can be considered and applied to enhance open learning environments. The use of knowledge maps, as an approach to implement schema theory, was selected to present and organize the learning concepts. In addition, the Felder-Silverman learning styles theory was selected to personalize the learning environment and provide learning materials based on every learner’s needs and preferences.

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The role of cognitive theory in human–computer interface

Cited by 148 publications

References 30 publications

Rate or Trade? Identifying Winning Ideas in Open Idea Sourcing

Rate or Trade? Identifying Winning Ideas in Open Idea Sourcing

An analysis of the scientific productivity and visibility of publications on usability (1971-2005)

Boosting the Opportunities of Open Learning (MOOCs) through Learning Theories

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