Abstract
Digital devices and intelligent systems are becoming popular and ubiquitous all around us. However, they seldom provide sufficient feed-forwards and feedbacks to reassure users as to their current status and indicate what actions they are about to perform. In this study, we selected and analyzed nine concept videos on future IoT products/systems. Through systematic analysis of the interactions and communications of users with the machines and systems demonstrated in the films, we extracted 38 design vocabulary items and clustered them into 12 groups: Active, Request, Trigger functions, Approve, Reject, Notify, Recommend, Guide, Show problems, Express emotions, Exchange info, and Socialize. This framework can not only inspire designers to create selfexplanatory intelligence, but also support developers to provide a language structure at different levels of the periphery of human attention. Through the enhancement of situated awareness, human-IoT system interaction can become more seamless and graceful.
| Original language | English |
|---|---|
| Title of host publication | CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems |
| Subtitle of host publication | Engage with CHI |
| Place of Publication | New York |
| Publisher | Association for Computing Machinery, Inc |
| Number of pages | 11 |
| Volume | 2018-April |
| ISBN (Electronic) | 9781450356206, 9781450356213 |
| ISBN (Print) | 978-1-4503-5620-6 |
| DOIs | |
| Publication status | Published - 20 Apr 2018 |
| Event | 2018 CHI Conference on Human Factors in Computing Systems, CHI 2018 - Montreal, Canada, Montreal, Canada Duration: 21 Apr 2018 → 26 Apr 2018 Conference number: 36 http://chi2018.acm.org https://chi2018.acm.org/ |
Conference
| Conference | 2018 CHI Conference on Human Factors in Computing Systems, CHI 2018 |
|---|---|
| Abbreviated title | CHI '18 |
| Country | Canada |
| City | Montreal |
| Period | 21/04/18 → 26/04/18 |
| Internet address |
Fingerprint
Keywords
- Feedback
- Intelligibility
- Internet of things
- Understanding
- Vocabulary
Cite this
}
Design vocabulary for human-IoT systems communication. / Chuang, Y.; Chen, L.; Liu, Y.
CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI. Vol. 2018-April New York : Association for Computing Machinery, Inc, 2018.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
TY - GEN
T1 - Design vocabulary for human-IoT systems communication
AU - Chuang, Y.
AU - Chen, L.
AU - Liu, Y.
PY - 2018/4/20
Y1 - 2018/4/20
N2 - Digital devices and intelligent systems are becoming popular and ubiquitous all around us. However, they seldom provide sufficient feed-forwards and feedbacks to reassure users as to their current status and indicate what actions they are about to perform. In this study, we selected and analyzed nine concept videos on future IoT products/systems. Through systematic analysis of the interactions and communications of users with the machines and systems demonstrated in the films, we extracted 38 design vocabulary items and clustered them into 12 groups: Active, Request, Trigger functions, Approve, Reject, Notify, Recommend, Guide, Show problems, Express emotions, Exchange info, and Socialize. This framework can not only inspire designers to create selfexplanatory intelligence, but also support developers to provide a language structure at different levels of the periphery of human attention. Through the enhancement of situated awareness, human-IoT system interaction can become more seamless and graceful.
AB - Digital devices and intelligent systems are becoming popular and ubiquitous all around us. However, they seldom provide sufficient feed-forwards and feedbacks to reassure users as to their current status and indicate what actions they are about to perform. In this study, we selected and analyzed nine concept videos on future IoT products/systems. Through systematic analysis of the interactions and communications of users with the machines and systems demonstrated in the films, we extracted 38 design vocabulary items and clustered them into 12 groups: Active, Request, Trigger functions, Approve, Reject, Notify, Recommend, Guide, Show problems, Express emotions, Exchange info, and Socialize. This framework can not only inspire designers to create selfexplanatory intelligence, but also support developers to provide a language structure at different levels of the periphery of human attention. Through the enhancement of situated awareness, human-IoT system interaction can become more seamless and graceful.
KW - Feedback
KW - Intelligibility
KW - Internet of things
KW - Understanding
KW - Vocabulary
UR - https://youtu.be/1QMrsg9YCYM
UR - http://www.scopus.com/inward/record.url?scp=85046970469&partnerID=8YFLogxK
U2 - 10.1145/3173574.3173848
DO - 10.1145/3173574.3173848
M3 - Conference contribution
AN - SCOPUS:85046970469
SN - 978-1-4503-5620-6
VL - 2018-April
BT - CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery, Inc
CY - New York
ER -