The Experts below are selected from a list of 243 Experts worldwide ranked by ideXlab platform
Takahiro Higuchi - One of the best experts on this subject based on the ideXlab platform.
-
The role of proximal body Information on anticipatory judgment in tennis using graphical Information Richness.
PLOS ONE, 2017Co-Authors: Kazunobu Fukuhara, Hirofumi Ida, Takahiro Ogata, Motonobu Ishii, Takahiro HiguchiAbstract:Objective Recent studies have reported that skilled tennis players are likely to use proximal body Information for anticipating the direction of their opponent’s forehand shot. However, in these studies, the visual stimuli did not include visual Information about the ball. Skilled players may have used proximal Information owing to the lack of distal Information. To address this issue, we developed a novel methodological approach using computer graphics (CG) images in which the entire body was presented by a combination of point-light display (i.e., poor graphical Information, PLD) and polygons (i.e., rich graphical Information). Using our novel methodological approach, we examined whether skilled tennis players use proximal body Information when anticipating shot directions. Methods and results Fifteen skilled tennis players and fifteen novice players tried to anticipate shot directions by observing four CG forehand strokes (ALPOL: all body parts were represented with polygon; RAPLD: racket and arm were represented with PLD; BOPLD: body parts without racket and arm were represented with PLD; and ALPLD: all body parts were represented with PLD). Our intention in creating CG models with such combinations (i.e., RAPLD and BOPLD) was that because of the richer graphical Information provided by polygons compared to PLD, the participant’s anticipatory judgment would be influenced more by body parts expressed with polygons. The results showed that for skilled players, anticipatory judgment was more accurate when they observed RAPLD than when they observed BOPLD and ALPLD. In contrast, for novice players, there were no differences in the accuracy of anticipatory judgments with the four CG models. Conclusions Only skilled players made more accurate anticipatory judgments when body regions were expressed with rich graphical Information, and the racket and arm were expressed with poor graphical Information. These suggest that skilled players used proximal Information to effectively anticipate shot directions.
-
The role of proximal body Information on anticipatory judgment in tennis using graphical Information Richness - Fig 2
2017Co-Authors: Kazunobu Fukuhara, Hirofumi Ida, Takahiro Ogata, Motonobu Ishii, Takahiro HiguchiAbstract:a) The four CG models (A: ALPOL, B: RAPLD, C: BOPLD, and D: ALPLD) with four occlusion timing patterns, relative to ball contact with the racket (-60 ms, -30 ms, 0 ms, and +120 ms). b) Participants were asked to click a mouse button with the right index finger (left side) or a middle finger (right side) to indicate the anticipated direction of the ball.
Cheng Suang Heng - One of the best experts on this subject based on the ideXlab platform.
-
social media brand community and consumer behavior quantifying the relative impact of user and marketer generated content
Information Systems Research, 2013Co-Authors: Cheng Suang HengAbstract:Despite the popular use of social media by consumers and marketers, empirical research investigating their economic values still lags. In this study, we integrate qualitative user-marketer interaction content data from a fan page brand community on Facebook and consumer transactions data to assemble a unique data set at the individual consumer level. We then quantify the impact of community contents from consumers (user-generated content, i.e., UGC) and marketers (marketer-generated content, i.e., MGC) on consumers' apparel purchase expenditures. A content analysis method was used to construct measures to capture the informative and persuasive nature of UGC and MGC while distinguishing between directed and undirected communication modes in the brand community. In our empirical analysis, we exploit differences across consumers' fan page joining decision and across timing differences in fan page joining dates for our model estimation and identification strategies. Importantly, we also control for potential self-selection biases and relevant factors such as pricing, promotion, social network attributes, consumer demographics, and unobserved heterogeneity. Our findings show that engagement in social media brand communities leads to a positive increase in purchase expenditures. Additional examinations of UGC and MGC impacts show evidence of social media contents affecting consumer purchase behavior through embedded Information and persuasion. We also uncover the different roles played by UGC and MGC, which vary by the type of directed or undirected communication modes by consumers and the marketer. Specifically, the elasticities of demand with respect to UGC Information Richness are 0.006 (directed communication) and 3.140 (undirected communication), whereas those for MGC Information Richness are insignificant. Moreover, the UGC valence elasticity of demand is 0.180 (undirected communication), whereas that for MGC valence is 0.004 (directed communication). Overall, UGC exhibits a stronger impact than MGC on consumer purchase behavior. Our findings provide various implications for academic research and practice.
-
social media brand community and consumer behavior quantifying the relative impact of user and marketer generated content
2012Co-Authors: Khim Yong Goh, Cheng Suang Heng, Zhijie LinAbstract:Despite the popular use of social media by consumers and marketers, empirical research investigating their economic values still lags. In this study, we integrate qualitative user-marketer interaction content data from a fan page brand community on Facebook and consumer transactions data to assemble a unique data set at the individual consumer level. We then quantify the impact of community contents from consumers (user-generated content, i.e., UGC) and marketers (marketer-generated content, i.e., MGC) on consumers’ apparel purchase expenditures. A content analysis method was used to construct measures to capture the informative and persuasive nature of UGC and MGC while distinguishing between directed and undirected communication modes on the brand community. In our empirical analysis, we exploit differences across consumers’ fan page joining decision and across timing differences in fan page joining dates for our model estimation and identification strategies. Importantly, we also control for potential self-selection biases and relevant factors such as pricing, promotion, social network attributes, consumer demographics and unobserved heterogeneity. Our findings show that engagement in social media brand communities lead to a positive increase in purchase expenditures. Additional in-depth examinations of UGC and MGC impacts show robust evidence that social media brand community contents affect consumer purchase behavior through embedded Information and persuasion. Evidence also points to the different roles played by UGC and MGC, varying by the type of directed or undirected communication modes by consumers and the marketer. Specifically, the elasticities of UGC Information Richness are 0.006 (directed communication) and 3.140 (undirected communication), whereas those of MGC Information Richness are insignificant. Moreover, the elasticity of UGC valence is 0.180 (undirected communication), while that of MGC valence is 0.004 (directed communication). Overall, UGC exhibits a stronger impact than MGC on consumer purchase behavior. Our findings provide various implications for academic research and practice.
Kazunobu Fukuhara - One of the best experts on this subject based on the ideXlab platform.
-
The role of proximal body Information on anticipatory judgment in tennis using graphical Information Richness.
PLOS ONE, 2017Co-Authors: Kazunobu Fukuhara, Hirofumi Ida, Takahiro Ogata, Motonobu Ishii, Takahiro HiguchiAbstract:Objective Recent studies have reported that skilled tennis players are likely to use proximal body Information for anticipating the direction of their opponent’s forehand shot. However, in these studies, the visual stimuli did not include visual Information about the ball. Skilled players may have used proximal Information owing to the lack of distal Information. To address this issue, we developed a novel methodological approach using computer graphics (CG) images in which the entire body was presented by a combination of point-light display (i.e., poor graphical Information, PLD) and polygons (i.e., rich graphical Information). Using our novel methodological approach, we examined whether skilled tennis players use proximal body Information when anticipating shot directions. Methods and results Fifteen skilled tennis players and fifteen novice players tried to anticipate shot directions by observing four CG forehand strokes (ALPOL: all body parts were represented with polygon; RAPLD: racket and arm were represented with PLD; BOPLD: body parts without racket and arm were represented with PLD; and ALPLD: all body parts were represented with PLD). Our intention in creating CG models with such combinations (i.e., RAPLD and BOPLD) was that because of the richer graphical Information provided by polygons compared to PLD, the participant’s anticipatory judgment would be influenced more by body parts expressed with polygons. The results showed that for skilled players, anticipatory judgment was more accurate when they observed RAPLD than when they observed BOPLD and ALPLD. In contrast, for novice players, there were no differences in the accuracy of anticipatory judgments with the four CG models. Conclusions Only skilled players made more accurate anticipatory judgments when body regions were expressed with rich graphical Information, and the racket and arm were expressed with poor graphical Information. These suggest that skilled players used proximal Information to effectively anticipate shot directions.
-
The role of proximal body Information on anticipatory judgment in tennis using graphical Information Richness - Fig 2
2017Co-Authors: Kazunobu Fukuhara, Hirofumi Ida, Takahiro Ogata, Motonobu Ishii, Takahiro HiguchiAbstract:a) The four CG models (A: ALPOL, B: RAPLD, C: BOPLD, and D: ALPLD) with four occlusion timing patterns, relative to ball contact with the racket (-60 ms, -30 ms, 0 ms, and +120 ms). b) Participants were asked to click a mouse button with the right index finger (left side) or a middle finger (right side) to indicate the anticipated direction of the ball.
Hui-jou Huang - One of the best experts on this subject based on the ideXlab platform.
-
The impact of Information Richness on Information security awareness training effectiveness
Computers & Education, 2009Co-Authors: R. S. Shaw, Charlie C. Chen, Albert L. Harris, Hui-jou HuangAbstract:In recent years, rapid progress in the use of the internet has resulted in huge losses in many organizations due to lax security. As a result, Information security awareness is becoming an important issue to anyone using the Internet. To reduce losses, organizations have made Information security awareness a top pri- ority. The three main barriers to Information security awareness are: (1) general security awareness, (2) employees’ computer skills, and (3) organizational budgets. Online learning appears a feasible alternative to providing Information security awareness and countering these three barriers. Research has identified three levels of security awareness: perception, comprehension and projection. This paper reports on a laboratory experiment that investigates the impacts of hypermedia, multimedia and hypertext to increase Information security awareness among the three awareness levels in an online training environ- ment. The results indicate that: (1) learners who have the better understanding at the perception and comprehension levels can improve understanding at the projection level; (2) learners with text material perform better at the perception level; and (3) learners with multimedia material perform better at the comprehension level and projection level. The results could be used by educators and training designers to create meaningful Information security awareness materials.
Hirofumi Ida - One of the best experts on this subject based on the ideXlab platform.
-
The role of proximal body Information on anticipatory judgment in tennis using graphical Information Richness.
PLOS ONE, 2017Co-Authors: Kazunobu Fukuhara, Hirofumi Ida, Takahiro Ogata, Motonobu Ishii, Takahiro HiguchiAbstract:Objective Recent studies have reported that skilled tennis players are likely to use proximal body Information for anticipating the direction of their opponent’s forehand shot. However, in these studies, the visual stimuli did not include visual Information about the ball. Skilled players may have used proximal Information owing to the lack of distal Information. To address this issue, we developed a novel methodological approach using computer graphics (CG) images in which the entire body was presented by a combination of point-light display (i.e., poor graphical Information, PLD) and polygons (i.e., rich graphical Information). Using our novel methodological approach, we examined whether skilled tennis players use proximal body Information when anticipating shot directions. Methods and results Fifteen skilled tennis players and fifteen novice players tried to anticipate shot directions by observing four CG forehand strokes (ALPOL: all body parts were represented with polygon; RAPLD: racket and arm were represented with PLD; BOPLD: body parts without racket and arm were represented with PLD; and ALPLD: all body parts were represented with PLD). Our intention in creating CG models with such combinations (i.e., RAPLD and BOPLD) was that because of the richer graphical Information provided by polygons compared to PLD, the participant’s anticipatory judgment would be influenced more by body parts expressed with polygons. The results showed that for skilled players, anticipatory judgment was more accurate when they observed RAPLD than when they observed BOPLD and ALPLD. In contrast, for novice players, there were no differences in the accuracy of anticipatory judgments with the four CG models. Conclusions Only skilled players made more accurate anticipatory judgments when body regions were expressed with rich graphical Information, and the racket and arm were expressed with poor graphical Information. These suggest that skilled players used proximal Information to effectively anticipate shot directions.
-
The role of proximal body Information on anticipatory judgment in tennis using graphical Information Richness - Fig 2
2017Co-Authors: Kazunobu Fukuhara, Hirofumi Ida, Takahiro Ogata, Motonobu Ishii, Takahiro HiguchiAbstract:a) The four CG models (A: ALPOL, B: RAPLD, C: BOPLD, and D: ALPLD) with four occlusion timing patterns, relative to ball contact with the racket (-60 ms, -30 ms, 0 ms, and +120 ms). b) Participants were asked to click a mouse button with the right index finger (left side) or a middle finger (right side) to indicate the anticipated direction of the ball.