M
Marcia Nißen
Researcher at ETH Zurich
Publications - 10
Citations - 275
Marcia Nißen is an academic researcher from ETH Zurich. The author has contributed to research in topics: Health care & Personality. The author has an hindex of 5, co-authored 8 publications receiving 172 citations. Previous affiliations of Marcia Nißen include University of St. Gallen.
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Proceedings Article
Quantifying the Quantified Self : A Study on the Motivations of Patients to Track Their Own Health
TL;DR: The present study on self-tracking motivations aims to shed light on what drives people to track themselves and developed a Five-Factor-Framework of Self-Tracking Motivations.
Text-based Healthcare Chatbots Supporting Patient and Health Professional Teams: Preliminary Results of a Randomized Controlled Trial on Childhood Obesity
Tobias Kowatsch,Marcia Nißen,Chen-Hsuan I. Shih,Dominik Rüegger,Dirk Volland,Andreas Filler,Florian Künzler,Filipe Barata,Severin Hung,Dirk Büchter,Björn Brogle,Katrin Heldt,Pauline Gindrat,Nathalie Farpour-Lambert,Dagmar l'Allemand +14 more
TL;DR: This work investigates how text-based healthcare chatbots (THCB) can be designed to effectively support patients and health professionals in therapeutic settings beyond on-site consultations and presents an open source THCB system and how the THCP was designed for a childhood obesity intervention.
Journal ArticleDOI
PEACH, a smartphone- and conversational agent-based coaching intervention for intentional personality change: study protocol of a randomized, wait-list controlled trial.
Mirjam Stieger,Marcia Nißen,Dominik Rüegger,Tobias Kowatsch,Christoph Flückiger,Mathias Allemand +5 more
TL;DR: This is the first study testing the effectiveness of a smartphone- and conversational agent-based coaching intervention for intended personality change that could be implemented in various non-clinical settings and could reach large numbers of people due to its low-threshold character and technical scalability.
Journal ArticleDOI
See you soon again, chatbot? A design taxonomy to characterize user-chatbot relationships with different time horizons
Marcia Nißen,Marcia Nißen,Driton Selimi,Antje Henriette Annette Janssen,Davinia Rodríguez Cardona,Michael H. Breitner,Tobias Kowatsch,Tobias Kowatsch,Florian von Wangenheim,Florian von Wangenheim +9 more
TL;DR: Following a taxonomy development approach, 22 empirically and conceptually grounded design dimensions contingent on chatbots’ temporal profiles are compiled, and three time-dependent chatbot design archetypes are abstracted: Ad-hoc Supporters, Temporary Assistants, and Persistent Companions.
Proceedings ArticleDOI
The impact of interpersonal closeness cues in text-based healthcare chatbots on attachment bond and the desire to continue interacting: an experimental design
TL;DR: This work-in-progress investigates the direct effect of interpersonal closeness cues of text-based healthcare chatbots (THCBs) on attachment bond from the working alliance con-struct and the indirect effect on the desire to continue interacting with THCBs.