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Psst, Wish Me Luck: Speculating Whispering as an Interaction Modethrough Design Fiction
KTH, School of Electrical Engineering and Computer Science (EECS).
2019 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

The voice technology today is limited to explicit interaction and does not take advantage of the connotation of voice modalities. Research has shown that it is possible to sense emotions and feelings as well as the context of information based on the tone of voice. Building on existing theory and Research through Design, this thesis aims to speculate the use of whispering in human-computer interaction. It also discusses how this might lead to a more preferred future or cause tensions within addictive technology and the politics of voice assistants. The results argue that whispering has an impact on the relationship and trust between a human and a machine and that it could be used as an active interaction mode with voice assistants. Further research is needed to identify the effect of whispering on different users and the influence of different voice modalities.

Abstract [sv]

Röstteknologin idag är begränsad till explicit interaktion och utnyttjar inte konnotationen av röstmodaliteter. Forskning har visat att det är möjligt att identifiera känslor och sammanhang med information baserad på tonfallet. Med utgångspunkt i befintlig teori och Research through Design, syftar denna avhandling till att spekulera kring användningen av viskning i interaktion mellan människor och datorer. Det diskuteras hur detta kan leda till en mer gynnsam framtid alternativt orsaka konflikt inom beroendeframkallande teknik och röstassistenternas politik. Resultaten menar att viskning påverkar förhållandet och förtroendet mellan människa och maskin och att den kan användas som ett aktivt interaktionsläge hos röstassistenter. Ytterligare forskning behövs för att identifiera effekten av viskning på olika användare och påverkan av olika röstmodaliteter.

Place, publisher, year, edition, pages
2019. , p. 14
Series
TRITA-EECS-EX ; 2019:247
Keywords [en]
whispering, speculative design, voice interaction, design ction, research through design, voice assistants, implicit interaction
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:kth:diva-258801OAI: oai:DiVA.org:kth-258801DiVA, id: diva2:1350128
Supervisors
Examiners
Available from: 2019-09-11 Created: 2019-09-10 Last updated: 2019-09-11Bibliographically approved

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf