Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | HAI 2021 |
| Untertitel | Proceedings of the 9th International User Modeling, Adaptation and Personalization Human-Agent Interaction |
| Seiten | 103-111 |
| Seitenumfang | 9 |
| ISBN (elektronisch) | 9781450386203 |
| Publikationsstatus | Veröffentlicht - 9 Nov. 2021 |
| Veranstaltung | 9th International User Modeling, Adaptation and Personalization Human-Agent Interaction, HAI 2021 - Virtual, Online, Japan Dauer: 9 Nov. 2021 → 11 Nov. 2021 |
Abstract
Previous literature has reported that users consider hands-free and eyes-free interaction as one of the prime features of IPAs (Intelligent Personal Assistants). Hands-free and eyes-free interaction enables dual tasking. Although users prefer dual tasking with IPAs, it is unknown to what degree current IPAs are compatible with dual tasking. To determine IPA efficiency while dual tasking, we investigate cognitive load in dual-Task scenarios with IPAs. In our experiment, we selected a rhythm game as the primary task and everyday IPA requests as secondary tasks. The secondary tasks belonged to four common categories: information search, multimedia control, smart home control, and turn-Taking conversations. The findings show that IPAs need significant improvement to support dual tasking. Out of the four categories, only tasks in the smart home and multimedia categories were appropriate for dual tasking, whereas turn-Taking conversation and information search had a high cognitive load. Task completion time was significantly different between tasks, but the penalty on the accuracy of the primary task was small. In interviews we found that, due to information abundance in IPA responses and high time pressure during task completion, users tended to make several mistakes. Based on our findings and observations we derive four design recommendations that facilitate dual-Tasking while using IPAs.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Software
- Informatik (insg.)
- Artificial intelligence
- Informatik (insg.)
- Mensch-Maschine-Interaktion
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HAI 2021: Proceedings of the 9th International User Modeling, Adaptation and Personalization Human-Agent Interaction. 2021. S. 103-111.
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - How compatible is Alexa with dual tasking?
T2 - 9th International User Modeling, Adaptation and Personalization Human-Agent Interaction, HAI 2021
AU - Ahire, Shashank
AU - Priegnitz, Aaron
AU - Önbas, Oguz
AU - Rohs, Michael
AU - Nejdl, Wolfgang
PY - 2021/11/9
Y1 - 2021/11/9
N2 - Previous literature has reported that users consider hands-free and eyes-free interaction as one of the prime features of IPAs (Intelligent Personal Assistants). Hands-free and eyes-free interaction enables dual tasking. Although users prefer dual tasking with IPAs, it is unknown to what degree current IPAs are compatible with dual tasking. To determine IPA efficiency while dual tasking, we investigate cognitive load in dual-Task scenarios with IPAs. In our experiment, we selected a rhythm game as the primary task and everyday IPA requests as secondary tasks. The secondary tasks belonged to four common categories: information search, multimedia control, smart home control, and turn-Taking conversations. The findings show that IPAs need significant improvement to support dual tasking. Out of the four categories, only tasks in the smart home and multimedia categories were appropriate for dual tasking, whereas turn-Taking conversation and information search had a high cognitive load. Task completion time was significantly different between tasks, but the penalty on the accuracy of the primary task was small. In interviews we found that, due to information abundance in IPA responses and high time pressure during task completion, users tended to make several mistakes. Based on our findings and observations we derive four design recommendations that facilitate dual-Tasking while using IPAs.
AB - Previous literature has reported that users consider hands-free and eyes-free interaction as one of the prime features of IPAs (Intelligent Personal Assistants). Hands-free and eyes-free interaction enables dual tasking. Although users prefer dual tasking with IPAs, it is unknown to what degree current IPAs are compatible with dual tasking. To determine IPA efficiency while dual tasking, we investigate cognitive load in dual-Task scenarios with IPAs. In our experiment, we selected a rhythm game as the primary task and everyday IPA requests as secondary tasks. The secondary tasks belonged to four common categories: information search, multimedia control, smart home control, and turn-Taking conversations. The findings show that IPAs need significant improvement to support dual tasking. Out of the four categories, only tasks in the smart home and multimedia categories were appropriate for dual tasking, whereas turn-Taking conversation and information search had a high cognitive load. Task completion time was significantly different between tasks, but the penalty on the accuracy of the primary task was small. In interviews we found that, due to information abundance in IPA responses and high time pressure during task completion, users tended to make several mistakes. Based on our findings and observations we derive four design recommendations that facilitate dual-Tasking while using IPAs.
KW - cognitive load
KW - design recommendations.
KW - dual tasking
KW - intelligent personal assistant
KW - speech interface
UR - http://www.scopus.com/inward/record.url?scp=85119375200&partnerID=8YFLogxK
U2 - 10.1145/3472307.3484165
DO - 10.1145/3472307.3484165
M3 - Conference contribution
AN - SCOPUS:85119375200
SP - 103
EP - 111
BT - HAI 2021
Y2 - 9 November 2021 through 11 November 2021
ER -