Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Human-Computer Interaction |
| Untertitel | INTERACT 2011 |
| Seiten | 559-575 |
| Seitenumfang | 17 |
| ISBN (elektronisch) | 978-3-642-23774-4 |
| Publikationsstatus | Veröffentlicht - 2011 |
| Extern publiziert | Ja |
| Veranstaltung | 13th IFIP TC 13 International Conference on Human-Computer Interaction, INTERACT 2011 - Lisbon, Portugal Dauer: 5 Sept. 2011 → 9 Sept. 2011 |
Publikationsreihe
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Nummer | PART 1 |
| Band | 6946 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (elektronisch) | 1611-3349 |
Abstract
This paper explores how microgestures can allow us to execute a secondary task, for example controlling mobile applications, without interrupting the manual primary task, for instance, driving a car. In order to design microgestures iteratively, we interviewed sports- and physiotherapists while asking them to use task related props, such as a steering wheel, a cash card , and a pen for simulating driving a car, an ATM scenario, and a drawing task. The primary objective here is to define microgestures that are easily performable without interrupting or interfering the primary task. Using expert interviews, we developed a taxonomy that classifies these gestures according to their task context. We also assessed the ergonomic and attentional attributes that influence the feasibility and task suitability of microinteractions, and evaluated their level of resources required. Accordingly, we defined 21 microgestures that allow performing microinteractions within a manual, dual task context. Our taxonomy poses a basis for designing microinteraction techniques.
ASJC Scopus Sachgebiete
- Mathematik (insg.)
- Theoretische Informatik
- Informatik (insg.)
- Allgemeine Computerwissenschaft
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Human-Computer Interaction: INTERACT 2011. 2011. S. 559-575 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 6946 LNCS, Nr. PART 1).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - A Taxonomy Of Microinteractions
T2 - 13th IFIP TC 13 International Conference on Human-Computer Interaction, INTERACT 2011
AU - Wolf, Katrin
AU - Naumann, Anja
AU - Rohs, Michael
AU - Müller, Jörg
N1 - Copyright: Copyright 2011 Elsevier B.V., All rights reserved.
PY - 2011
Y1 - 2011
N2 - This paper explores how microgestures can allow us to execute a secondary task, for example controlling mobile applications, without interrupting the manual primary task, for instance, driving a car. In order to design microgestures iteratively, we interviewed sports- and physiotherapists while asking them to use task related props, such as a steering wheel, a cash card , and a pen for simulating driving a car, an ATM scenario, and a drawing task. The primary objective here is to define microgestures that are easily performable without interrupting or interfering the primary task. Using expert interviews, we developed a taxonomy that classifies these gestures according to their task context. We also assessed the ergonomic and attentional attributes that influence the feasibility and task suitability of microinteractions, and evaluated their level of resources required. Accordingly, we defined 21 microgestures that allow performing microinteractions within a manual, dual task context. Our taxonomy poses a basis for designing microinteraction techniques.
AB - This paper explores how microgestures can allow us to execute a secondary task, for example controlling mobile applications, without interrupting the manual primary task, for instance, driving a car. In order to design microgestures iteratively, we interviewed sports- and physiotherapists while asking them to use task related props, such as a steering wheel, a cash card , and a pen for simulating driving a car, an ATM scenario, and a drawing task. The primary objective here is to define microgestures that are easily performable without interrupting or interfering the primary task. Using expert interviews, we developed a taxonomy that classifies these gestures according to their task context. We also assessed the ergonomic and attentional attributes that influence the feasibility and task suitability of microinteractions, and evaluated their level of resources required. Accordingly, we defined 21 microgestures that allow performing microinteractions within a manual, dual task context. Our taxonomy poses a basis for designing microinteraction techniques.
KW - dual-task
KW - gestures
KW - interruption
KW - microinteractions
KW - multitask
UR - http://www.scopus.com/inward/record.url?scp=80052790693&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-23774-4_45
DO - 10.1007/978-3-642-23774-4_45
M3 - Conference contribution
AN - SCOPUS:80052790693
SN - 9783642237737
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 559
EP - 575
BT - Human-Computer Interaction
Y2 - 5 September 2011 through 9 September 2011
ER -