Abstract
Group work is widely introduced and practiced as a method to achieve the learning goal efficiently by collaborating group members. However, since most types of group works are carried out in the real environment, it is very difficult to perform formative assessment and real time evaluation without students’ feedbacks. Therefore, there is a strong demand to develop a method that supports evaluation of group work. To support evaluation of group work, this paper proposes a method to visualize the real world activity during group work by using first person view cameras and wearable sensors. Here, the proposed method visualizes three scores: (1) individual attention, (2) hand visibility, (3) individual activity. To evaluate the performance and analyze the relationships between scores, we conducted experiments of “Marshmallow challenge” that is a collaborative work to construct a tower using marshmallow and spaghetti within a limit of time. Through the experiments, we confirmed that the proposed method has potential to become a evaluation tool for visualizing the activity of the group work.
| Original language | English |
|---|---|
| Title of host publication | Distributed, Ambient and Pervasive Interactions |
| Subtitle of host publication | Technologies and Contexts - 6th International Conference, DAPI 2018, Held as Part of HCI International 2018, Proceedings |
| Editors | Shin’ichi Konomi, Norbert Streitz |
| Publisher | Springer Verlag |
| Pages | 23-37 |
| Number of pages | 15 |
| ISBN (Print) | 9783319911304 |
| DOIs | |
| Publication status | Published - Jan 1 2018 |
| Event | 6th International Conference on Distributed, Ambient and Pervasive Interactions, DAPI 2018 Held as Part of HCI International 2018 - Las Vegas, United States Duration: Jul 15 2018 → Jul 20 2018 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 10922 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Other
| Other | 6th International Conference on Distributed, Ambient and Pervasive Interactions, DAPI 2018 Held as Part of HCI International 2018 |
|---|---|
| Country | United States |
| City | Las Vegas |
| Period | 7/15/18 → 7/20/18 |
Fingerprint
All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Computer Science(all)
Cite this
Visualization of real world activity on group work. / Deguchi, Daisuke; Kondo, Kazuaki; Shimada, Atsushi.
Distributed, Ambient and Pervasive Interactions: Technologies and Contexts - 6th International Conference, DAPI 2018, Held as Part of HCI International 2018, Proceedings. ed. / Shin’ichi Konomi; Norbert Streitz. Springer Verlag, 2018. p. 23-37 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10922 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Visualization of real world activity on group work
AU - Deguchi, Daisuke
AU - Kondo, Kazuaki
AU - Shimada, Atsushi
PY - 2018/1/1
Y1 - 2018/1/1
N2 - Group work is widely introduced and practiced as a method to achieve the learning goal efficiently by collaborating group members. However, since most types of group works are carried out in the real environment, it is very difficult to perform formative assessment and real time evaluation without students’ feedbacks. Therefore, there is a strong demand to develop a method that supports evaluation of group work. To support evaluation of group work, this paper proposes a method to visualize the real world activity during group work by using first person view cameras and wearable sensors. Here, the proposed method visualizes three scores: (1) individual attention, (2) hand visibility, (3) individual activity. To evaluate the performance and analyze the relationships between scores, we conducted experiments of “Marshmallow challenge” that is a collaborative work to construct a tower using marshmallow and spaghetti within a limit of time. Through the experiments, we confirmed that the proposed method has potential to become a evaluation tool for visualizing the activity of the group work.
AB - Group work is widely introduced and practiced as a method to achieve the learning goal efficiently by collaborating group members. However, since most types of group works are carried out in the real environment, it is very difficult to perform formative assessment and real time evaluation without students’ feedbacks. Therefore, there is a strong demand to develop a method that supports evaluation of group work. To support evaluation of group work, this paper proposes a method to visualize the real world activity during group work by using first person view cameras and wearable sensors. Here, the proposed method visualizes three scores: (1) individual attention, (2) hand visibility, (3) individual activity. To evaluate the performance and analyze the relationships between scores, we conducted experiments of “Marshmallow challenge” that is a collaborative work to construct a tower using marshmallow and spaghetti within a limit of time. Through the experiments, we confirmed that the proposed method has potential to become a evaluation tool for visualizing the activity of the group work.
UR - http://www.scopus.com/inward/record.url?scp=85050570933&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85050570933&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-91131-1_2
DO - 10.1007/978-3-319-91131-1_2
M3 - Conference contribution
AN - SCOPUS:85050570933
SN - 9783319911304
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 23
EP - 37
BT - Distributed, Ambient and Pervasive Interactions
A2 - Konomi, Shin’ichi
A2 - Streitz, Norbert
PB - Springer Verlag
ER -