“…This section distills the essence of my interpretation of the HCI models and theories as presented in this article and used in an operational context in the case studies of earlier publications (Lehane, 2008(Lehane, , 2012bLehane & Huf, 2006, 2007. Humans mediate their activities with tools.…”
Section: Community Of Practice Interaction Frameworkmentioning
confidence: 99%
“…This means that the artifacts and their cognitive and physical affordances, including their location on the screen, should be drawn from the praxis of the largest subset of users in the community of practice. To design with this in mind means that the majority of users are already familiar with the artifacts and how to use them (Lehane & Huf, 2006, 2007. By design then, the activity praxis is distributed over time, location, and people: This leveraging of prior knowledge is a contextual example of distributed cognition.…”
Section: Affordance In Intuitive Use Designmentioning
confidence: 99%
“…Throughout the 1990s, one design paradigm underpinned all others: usability (Carroll, 1991;Nielsen, 1993;Preece, Rogers, & Sharp, 2002, 2007Preece et al, 1994). Nielsen (1993) defined the system acceptance attributes.…”
A plethora of surveys for assessing computer use for usability or technology acceptance exist today. This article discusses the Systems Acceptance Indicator, a validated survey instrument for assessing the user experience from a cognitiveergonomic perspective. The action research discussed in this paper utilized grounded theory analysis to establish the data-driven emergent theoretical constructs that provided the system acceptance categories (criteria) for the survey. These data-driven emergent theoretical constructs were the basis for the proposed theoretical abstraction hierarchy of the survey criteria. Principle component analysis of the survey data produced an abstraction hierarchy identical to the theoretical model. This result confirmed the alignment of the human-computer interaction theoretical constructs with the data-driven emergent theory. The intent behind the human-computer interaction theoretical rationale for the emergent abstraction hierarchy was to provide a consistent and repeatable interpretation of the user response to the survey.
“…This section distills the essence of my interpretation of the HCI models and theories as presented in this article and used in an operational context in the case studies of earlier publications (Lehane, 2008(Lehane, , 2012bLehane & Huf, 2006, 2007. Humans mediate their activities with tools.…”
Section: Community Of Practice Interaction Frameworkmentioning
confidence: 99%
“…This means that the artifacts and their cognitive and physical affordances, including their location on the screen, should be drawn from the praxis of the largest subset of users in the community of practice. To design with this in mind means that the majority of users are already familiar with the artifacts and how to use them (Lehane & Huf, 2006, 2007. By design then, the activity praxis is distributed over time, location, and people: This leveraging of prior knowledge is a contextual example of distributed cognition.…”
Section: Affordance In Intuitive Use Designmentioning
confidence: 99%
“…Throughout the 1990s, one design paradigm underpinned all others: usability (Carroll, 1991;Nielsen, 1993;Preece, Rogers, & Sharp, 2002, 2007Preece et al, 1994). Nielsen (1993) defined the system acceptance attributes.…”
A plethora of surveys for assessing computer use for usability or technology acceptance exist today. This article discusses the Systems Acceptance Indicator, a validated survey instrument for assessing the user experience from a cognitiveergonomic perspective. The action research discussed in this paper utilized grounded theory analysis to establish the data-driven emergent theoretical constructs that provided the system acceptance categories (criteria) for the survey. These data-driven emergent theoretical constructs were the basis for the proposed theoretical abstraction hierarchy of the survey criteria. Principle component analysis of the survey data produced an abstraction hierarchy identical to the theoretical model. This result confirmed the alignment of the human-computer interaction theoretical constructs with the data-driven emergent theory. The intent behind the human-computer interaction theoretical rationale for the emergent abstraction hierarchy was to provide a consistent and repeatable interpretation of the user response to the survey.
“…To represent the theoretical base of this article, additional operational detail was incorporated into the Engeström diagram (see Figure 3). This was achieved by positioning the individual's response in the model as an orientation activity between object and outcome: Orientation locates the subject's consciousness as the affective, cognitive, and physical responses with and in the context of the object-outcome transformation process (Checkland, 1999;Norman, 2004;Preece et al, 2007;Shiizuka, 2007).…”
Section: Activity Theory Operationalizedmentioning
Human Technology is an interdisciplinary, scholarly journal that presents innovative, peer-reviewed articles exploring the issues and challenges surrounding human-technology interaction and the human role in all areas of our ICT-infused societies. Human Technology is published by the Agora Center, University of Jyväskylä and distributed without a charge online.
“…In the field of Kansei engineering, Shiizuka [3] introduced a framework of Kansei system and proposed guiding principles for researches of artificial Kansei. In the framework, it is said to be the most important thing that a system can properly respond to individual situations.…”
In this paper, we formulate a method of designing artificial Kansei system based on a variable neighborhood model. We use a multi-agent space in order to realize a non-verbal system which can respond to individual situations. We carried out some simulation experiments of the system in which the system generates and produces some color arrangement like web pages as Kansei products. We also conducted a questionnaire survey in order to confirm that the system generates Kansei products which properly reflect users' Kansei.
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