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Rogers ' bell curve. The technology adoption lifecycle is a sociological model that describes the adoption or acceptance of a new product or innovation, according to the demographic and psychological characteristics of defined adopter groups.
A 2010 article, "Cognitive load on social response to computers" by E.J. Lee discussed research on how human likeness of a computer interface, individuals' rationality, and cognitive load moderate the extent to which people apply social attributes to computers. The research revealed that participants were more socially attracted to a computer ...
Social computing is an area of computer science that is concerned with the intersection of social behavior and computational systems. It is based on creating or recreating social conventions and social contexts through the use of software and technology.
The open-source software movement is a social movement that supports the use of open-source licenses for some or all software, as part of the broader notion of open collaboration. [1] The open-source movement was started to spread the concept/idea of open-source software .
The Boston chapter helped organize a debate related to the software reliability of SDI systems which drew national attention ("Software Seen as Obstacle in Developing 'Star Wars', Philip M. Boffey, (The New York Times, September 16, 1986) to these issues. Later, workplace issues, privacy, and community networks were added to CPSR's agenda.
Computer operating software and compilers were delivered as a part of hardware purchases without separate fees. At this time, source code , the human-readable form of software, was generally distributed with the software machine code because users frequently modified the software themselves, because it would not run on different hardware or OS ...
Thus, SSE can be defined as "the application of processes, methods, and tools to enable community-driven creation, management, deployment, and use of software in online environments". [2] One of the main observations in the field of SSE is that the concepts, principles, and technologies made for social software applications are applicable to ...
Worse is better (also called the New Jersey style [1]) is a term conceived by Richard P. Gabriel in a 1989 essay [2] to describe the dynamics of software acceptance. It refers to the argument that software quality does not necessarily increase with functionality: that there is a point where less functionality ("worse") is a preferable option ("better") in terms of practicality and usability.