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Attention Score in Context
| Title |
Automating the Production of Communicative Gestures in Embodied Characters
|
|---|---|
| Published in |
Frontiers in Psychology, July 2018
|
| DOI | 10.3389/fpsyg.2018.01144 |
| Pubmed ID | |
| Authors |
Brian Ravenet, Catherine Pelachaud, Chloé Clavel, Stacy Marsella |
| Abstract |
In this paper we highlight the different challenges in modeling communicative gestures for Embodied Conversational Agents (ECAs). We describe models whose aim is to capture and understand the specific characteristics of communicative gestures in order to envision how an automatic communicative gesture production mechanism could be built. The work is inspired by research on how human gesture characteristics (e.g., shape of the hand, movement, orientation and timing with respect to the speech) convey meaning. We present approaches to computing where to place a gesture, which shape the gesture takes and how gesture shapes evolve through time. We focus on a particular model based on theoretical frameworks on metaphors and embodied cognition that argue that people can represent, reason about and convey abstract concepts using physical representations and processes, which can be conveyed through physical gestures. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 51 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 16% |
| Researcher | 7 | 14% |
| Student > Master | 6 | 12% |
| Student > Bachelor | 4 | 8% |
| Professor > Associate Professor | 4 | 8% |
| Other | 10 | 20% |
| Unknown | 12 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 18 | 35% |
| Psychology | 6 | 12% |
| Engineering | 3 | 6% |
| Arts and Humanities | 2 | 4% |
| Social Sciences | 2 | 4% |
| Other | 7 | 14% |
| Unknown | 13 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 July 2018.
All research outputs
#15,536,861
of 23,090,520 outputs
Outputs from Frontiers in Psychology
#19,069
of 30,468 outputs
Outputs of similar age
#208,548
of 326,631 outputs
Outputs of similar age from Frontiers in Psychology
#550
of 723 outputs
Altmetric has tracked 23,090,520 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 30,468 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one is in the 31st percentile – i.e., 31% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 326,631 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 723 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.