Chapter 8 & Chapter 9
Summary
In chapter eight, Hallinan discusses how humans tend to manipulate memory details so that it is simpler to rationalize or understand them. Hallinan points out that studies has shown that people tend to straighten lines on a map such as the drawing of the Seine river. Also since people do not recall exact details about their memories, they tend to change their stories a little. In chapter nine, Hallinan compares how men and women perceive things differently. He talks about how men tend to be more confident then women, and therefore they are more likely to take risks.
Discussion
The point about people tending to skew stories because humans do not recall exact details has already been a topic of discussion in this class. As far as the point of making things easier to understand, I totally agree with his point of view. The latter chapter made me think about all of the discussions I have had with my girl friends. But it had never made me think how this could affect the CHI world, it could be interesting to see if there should be gender oriented or what can we do to narrow this difference.
Tuesday, April 12, 2011
Paper Reading # 21
Comments
Comment1
Comment2
Reference
Towards a Reputation-based Model of Social Web Search
Kevin McNally, Michael P. O'Mahony, Barry Smyth, Maurice Coyle, Peter Briggs
IUI'10, February 7-10, 2010, Hong Kong, China
Summary
This paper talks about how the web search is usually seen by users as a solitary space. The authors are proposing a web search collaboration system in which additional features are added to already mainstream web searching sites as Google or Yahoo. More specific the authors designed HeyStaks which has been deployed online and according to them, HeyStacks has more than 500 users. The idea of this design is to capture and share search experiences with other users. They believe this will facilitate web search by creating searching communities. Users that become community members can benefit from recommendations from other community members. Within these search communities, there are search leaders and search followers. They are identified by how much information they share, how many communities they create, and how much they share with other community members. The biggest benefits of using HeyStaks are that users can still use their favorite search engine, and is a more collaborative search experience. HeyStaks allows you to create what are called staks which are similar to a folder where you can save search experiences. These staks can be shared with other users to facilitate their search. These will generate recommendations to users based on relevance of users that have tagged or shared search experiences. Staks can be private or public, and can limit which users use specific staks. Users can vote positively or negatively for search results. HeyStaks has two types of ranking which are primary promotions and secondary promotions. These rankings can impact the relevance of the recommendations.
Discussion
Overall I believe the idea of HeyStaks is a great collaborative tool, although I probably would not ever use it except when maybe doing research. This last point brings me to a good point, it could potentially benefit researchers. The whole idea is to be able to help other users who search for similar topics. Some of the capabilities of HeyStaks seem to be similar to the already existing bookmarks in web browsers. The benefit of HeyStaks is that you can share your staks with other members, and they can also contribute to different search communities.
Comment1
Comment2
Reference
Towards a Reputation-based Model of Social Web Search
Kevin McNally, Michael P. O'Mahony, Barry Smyth, Maurice Coyle, Peter Briggs
IUI'10, February 7-10, 2010, Hong Kong, China
Summary
This paper talks about how the web search is usually seen by users as a solitary space. The authors are proposing a web search collaboration system in which additional features are added to already mainstream web searching sites as Google or Yahoo. More specific the authors designed HeyStaks which has been deployed online and according to them, HeyStacks has more than 500 users. The idea of this design is to capture and share search experiences with other users. They believe this will facilitate web search by creating searching communities. Users that become community members can benefit from recommendations from other community members. Within these search communities, there are search leaders and search followers. They are identified by how much information they share, how many communities they create, and how much they share with other community members. The biggest benefits of using HeyStaks are that users can still use their favorite search engine, and is a more collaborative search experience. HeyStaks allows you to create what are called staks which are similar to a folder where you can save search experiences. These staks can be shared with other users to facilitate their search. These will generate recommendations to users based on relevance of users that have tagged or shared search experiences. Staks can be private or public, and can limit which users use specific staks. Users can vote positively or negatively for search results. HeyStaks has two types of ranking which are primary promotions and secondary promotions. These rankings can impact the relevance of the recommendations.
Discussion
Overall I believe the idea of HeyStaks is a great collaborative tool, although I probably would not ever use it except when maybe doing research. This last point brings me to a good point, it could potentially benefit researchers. The whole idea is to be able to help other users who search for similar topics. Some of the capabilities of HeyStaks seem to be similar to the already existing bookmarks in web browsers. The benefit of HeyStaks is that you can share your staks with other members, and they can also contribute to different search communities.
Monday, April 11, 2011
Full Blog - Things that make us smart
Summary:
Donald Norman's Things that make us smart book has probably been the funner read. I really enjoy reading Norman's material because it allows you to do some reflective thinking, I wonder about what he writes when I am reading his chapters. It is one of those books that are so interesting you can't put down. In the beginning of this book he emphasizes the fact that he is a cognitive scientists.
In the first chapter Norman wants people to focus on human-centered technology in the future. He believes that in the past, people have been designing machine-centered technology and this has long term effects on how humans perform. He also describes the two types of artifacts that aid cognition which are mental and physical. Norman describes the three types of learning which are accretion, tuning, and restructuring. Accretion is how add to our existing knowledge. Tuning is where people sharpen their skills, this is where the practice comes in. Restructuring is the most difficult type of learning. Chapters three and four describe which artifacts have aided humans in becoming smarter. Norman also points out how humans underestimate the ability of artifacts that aid us in learning processes and how much information we can hold. He gives an example where Socrates questions reflective reasoning. He also describes an experiment by his Ph. D. student who modifies the famous Tower of Hanoi to study cognition.
Discussion
I really like reading books like this one because it makes me want to analyze what the author is writing, and often I often find myself formulating ideas to question their ideas. I like the fact that it gives examples that actually relate to technology and are therefore easier to relate to computer-human interaction.
Donald Norman's Things that make us smart book has probably been the funner read. I really enjoy reading Norman's material because it allows you to do some reflective thinking, I wonder about what he writes when I am reading his chapters. It is one of those books that are so interesting you can't put down. In the beginning of this book he emphasizes the fact that he is a cognitive scientists.
In the first chapter Norman wants people to focus on human-centered technology in the future. He believes that in the past, people have been designing machine-centered technology and this has long term effects on how humans perform. He also describes the two types of artifacts that aid cognition which are mental and physical. Norman describes the three types of learning which are accretion, tuning, and restructuring. Accretion is how add to our existing knowledge. Tuning is where people sharpen their skills, this is where the practice comes in. Restructuring is the most difficult type of learning. Chapters three and four describe which artifacts have aided humans in becoming smarter. Norman also points out how humans underestimate the ability of artifacts that aid us in learning processes and how much information we can hold. He gives an example where Socrates questions reflective reasoning. He also describes an experiment by his Ph. D. student who modifies the famous Tower of Hanoi to study cognition.
Discussion
I really like reading books like this one because it makes me want to analyze what the author is writing, and often I often find myself formulating ideas to question their ideas. I like the fact that it gives examples that actually relate to technology and are therefore easier to relate to computer-human interaction.
Book Reading # 45
Reference:
Things that Makes Us Smart
Donald A. Norman
Chapter 3 & Chapter4
Summary
Chapter three talks about cognitive artifacts that have aided the human brain by making humans smarter. Norman points out that we pay much attention to people who can retain large quantities of information because these are abilities that are hard for the average person to perform. He gives an example where Socrates questions that reading did not lead to reflection, and that it was experiential. He goes on to talk about the importance of the power of representation. A very important thing he mentions is that humans perceive information as a visual representation. In the latter chapter, Norman describes the views of a cognitive artifact which are the personal point of view and the system point of view.
Discussion
I found the fourth chapter more interesting because it points out example that make you understand what Norman is getting at. The description that I liked the best is when he talks about digital versus analog displays. It would seem to me that he would discuss that the digital displays are better since in the previous chapter he mentions that humans perceive information as a visual representation.
Things that Makes Us Smart
Donald A. Norman
Chapter 3 & Chapter4
Summary
Chapter three talks about cognitive artifacts that have aided the human brain by making humans smarter. Norman points out that we pay much attention to people who can retain large quantities of information because these are abilities that are hard for the average person to perform. He gives an example where Socrates questions that reading did not lead to reflection, and that it was experiential. He goes on to talk about the importance of the power of representation. A very important thing he mentions is that humans perceive information as a visual representation. In the latter chapter, Norman describes the views of a cognitive artifact which are the personal point of view and the system point of view.
Discussion
I found the fourth chapter more interesting because it points out example that make you understand what Norman is getting at. The description that I liked the best is when he talks about digital versus analog displays. It would seem to me that he would discuss that the digital displays are better since in the previous chapter he mentions that humans perceive information as a visual representation.
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