Marcia Nissen

Marcia Nissen

Title

Dr.

Last Name

Nissen

First name

Marcia

Email

marcia.nissen@unisg.ch

ORCID

0000-0002-6082-8825

Now showing 1 - 5 of 5

Proactive behavior in voice assistants: A systematic review and conceptual model

( 2024)
Caterina Bérubé
;
Marcia Nissen
;
Rasita Vinay
;
Alexa Geiger
;
Tobias Budig
;
Aashish Bhandari
;
Catherine Rachel Pe Benito
;
Nathan Ibarcena
;
Olivia Pistolese
;
Pan Li
;
Abdullah Bin Sawad
;
Elgar Fleisch
;
Christoph Stettler
;
Bronwyn Hemsley
;
Shlomo Berkovsky
;
Tobias Kowatsch
;
A. Baki Kocaballi

Voice assistants (VAs) are increasingly integrated into everyday activities and tasks, raising novel challenges for users and researchers. One emergent research direction concerns proactive VAs, who can initiate interaction without direct user input, offering unique benefits including efficiency and natural interaction. Yet, there is a lack of review studies synthesizing the current knowledge on how proactive behavior has been implemented in VAs and under what conditions proactivity has been found more or less suitable. To this end, we conducted a systematic review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) checklist. We searched for articles in the ACM Digital Library, IEEExplore, and PubMed, and included primary research studies reporting user evaluations of proactive VAs, resulting in 21 studies included for analysis. First, to characterize proactive behavior in VAs we developed a novel conceptual model encompassing context, initiation, and action components: Activity/status emerged as the primary contextual element, direct initiation was more common than indirect initiation, and suggestions were the primary action observed. Second, proactive behavior in VAs was predominantly explored in domestic and in-vehicle contexts, with only safety-critical and emergency situations demonstrating clear benefits for proactivity, compared to mixed findings for other scenarios. The paper concludes with a summary of the prevailing knowledge gaps and potential research avenues.

Type: journal article

Journal: Computers in Human Behavior Reports

URL: https://www.sciencedirect.com/science/article/pii/S2451958824000447

DOI: 10.1016/j.chbr.2024.100411

URI: https://www.alexandria.unisg.ch/handle/20.500.14171/119758
Impact of digital assistive technologies on the quality of life for people with dementia: a scoping review

( 2024)
Charlotte Schneider
;
Marcia Nissen
;
Tobias Kowatsch
;
Rasita Vinay

Background Digital assistive technologies (DATs) have emerged as promising tools to support the daily life of people with dementia (PWD). Current research tends to concentrate either on specific categories of DATs or provide a generic view. Therefore, it is of essence to provide a review of different kinds of DATs and how they contribute to improving quality of life (QOL) for PWD. Design Scoping review using the framework proposed by Arksey and O’Malley and recommendations from Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews. Data sources Cochrane, Embase, PubMed, Scopus and Web of Science (January 2013 to May 2023). Eligibility criteria for selecting studies Completed scientific literature with a primary focus on DATs for PWD, perspectives of caregivers, family members or healthcare workers in relation to a PWD, people living in diverse settings and all severities of dementia. Data extraction and synthesis Screening and data extraction were conducted, followed by quantitative and qualitative analyses using thematic analysis principles and Digital Therapeutics Alliance categories for DAT grouping. Results The literature search identified 6083 records, with 1056 duplicates. After screening, 4560 full texts were excluded, yielding 122 studies of different designs. The DATs were categorised into digital therapeutics (n=109), patient monitoring (n=30), digital diagnostics (n=2), care support (n=2) and health system clinical software (n=1). These categories were identified to impact various aspects of QOL: preserving autonomy, engagement, and social interaction, health monitoring and promotion, improving activities of daily living, improving cognition, maintaining dignity, managing behavioural and psychological symptoms of dementia and safety/surveillance. Conclusions Various DATs offer extensive support, elevating the QOL of PWD. Digital therapeutics are predominantly used for ageing-in-place and independent living through assistance with daily tasks. Future research should focus on less-represented digital health technology categories, such as care support, health & wellness or software solutions. Observing ongoing DAT developments and their long-term effects on QOL remains essential.

Type: journal article

Journal: BMJ Open

Volume: 14 (2)

URL: https://bmjopen.bmj.com/content/14/2/e080545

DOI: https://doi.org/10.1136/bmjopen-2023-080545

URI: https://www.alexandria.unisg.ch/handle/20.500.14171/119479
Top-funded digital health companies offering lifestyle interventions for dementia prevention: Company overview and evidence analysis

( 2024)
Rasita Vinay
;
Jonas Probst
;
Panitda Huynh
;
Mathias Schlögl
;
Tobias Kowatsch
;
Marcia Nissen

Background and objective Dementia prevention has been recognized as a top priority by public health authorities due to the lack of disease modifying treatments. In this regard, digital dementia-preventive lifestyle services (DDLS) emerge as potentially pivotal services, aiming to address modifiable risk factors on a large scale. This study aims to identify the top-funded companies offering DDLS globally and evaluate their clinical evidence to gain insights into the current state of the global service landscape. Methods A systematic screening of two financial databases (Pitchbook and Crunchbase) was conducted. Corresponding published clinical evidence was collected through a systematic literature review and analyzed regarding study purpose, results, quality of results, and level of clinical evidence. Findings The ten top-funded companies offering DDLS received a total funding of EUR 128.52 million, of which three companies collected more than 75%. Clinical evidence was limited due to only nine eligible publications, small clinical subject groups, the absence of longitudinal study designs, and no direct evidence of dementia prevention. Conclusion The study highlights the need for a more rigorous evaluation of DDLS effectiveness in today’s market. It serves as a starting point for further research in digital dementia prevention.

Type: journal article

Journal: medRxiv

Volume: 2024.03.29.24305069

DOI: 10.1101/2024.03.29.24305069

URI: https://www.alexandria.unisg.ch/handle/20.500.14171/119852
The Effects of Health Care Chatbot Personas With Different Social Roles on the Client-Chatbot Bond and Usage Intentions: Development of a Design Codebook and Web-Based Study

(JMIR Publications, 2022-04-27)
Marcia Nissen
;
Rüegger, Dominik
;
Stieger, Mirjam
;
Flückiger, Christoph
;
Allemand, Mathias
;
von Wangenheim, Florian
;
Kowatsch, Tobias

Background: The working alliance refers to an important relationship quality between health professionals and clients that robustly links to treatment success. Recent research shows that clients can develop an affective bond with chatbots. However, few research studies have investigated whether this perceived relationship is affected by the social roles of differing closeness a chatbot can impersonate and by allowing users to choose the social role of a chatbot. Objective: This study aimed at understanding how the social role of a chatbot can be expressed using a set of interpersonal closeness cues and examining how these social roles affect clients’ experiences and the development of an affective bond with the chatbot, depending on clients’ characteristics (ie, age and gender) and whether they can freely choose a chatbot’s social role. Methods: Informed by the social role theory and the social response theory, we developed a design codebook for chatbots with different social roles along an interpersonal closeness continuum. Based on this codebook, we manipulated a fictitious health care chatbot to impersonate one of four distinct social roles common in health care settings—institution, expert, peer, and dialogical self—and examined effects on perceived affective bond and usage intentions in a web-based lab study. The study included a total of 251 participants, whose mean age was 41.15 (SD 13.87) years; 57.0% (143/251) of the participants were female. Participants were either randomly assigned to one of the chatbot conditions (no choice: n=202, 80.5%) or could freely choose to interact with one of these chatbot personas (free choice: n=49, 19.5%). Separate multivariate analyses of variance were performed to analyze differences (1) between the chatbot personas within the no-choice group and (2) between the no-choice and the free-choice groups. Results: While the main effect of the chatbot persona on affective bond and usage intentions was insignificant (P=.87), we found differences based on participants’ demographic profiles: main effects for gender (P=.04, ηp2=0.115) and age (P<.001, ηp2=0.192) and a significant interaction effect of persona and age (P=.01, ηp2=0.102). Participants younger than 40 years reported higher scores for affective bond and usage intentions for the interpersonally more distant expert and institution chatbots; participants 40 years or older reported higher outcomes for the closer peer and dialogical-self chatbots. The option to freely choose a persona significantly benefited perceptions of the peer chatbot further (eg, free-choice group affective bond: mean 5.28, SD 0.89; no-choice group affective bond: mean 4.54, SD 1.10; P=.003, ηp2=0.117). Conclusions: Manipulating a chatbot’s social role is a possible avenue for health care chatbot designers to tailor clients’ chatbot experiences using user-specific demographic factors and to improve clients’ perceptions and behavioral intentions toward the chatbot. Our results also emphasize the benefits of letting clients freely choose between chatbots.

Type: journal article

Journal: Journal of Medical Internet Research

Volume: 24

Issue: 4

URL: https://www.jmir.org/2022/4/e32630

DOI: 10.2196/32630

URI: https://www.alexandria.unisg.ch/handle/20.500.14171/108786

Scopus© Citations 15
Navigating Germany’s Digital Health Ecosystem: Insights from a Health Insurance Industry Expert

( 2024)
Laura Bitomsky
;
Julian Hollender
;
Marcia Nissen
;
Tobias Kowatsch

Non-communicable diseases (NCDs) account for 73% of the global mortality in 2017, with an estimated financial impact of up to US$ 47 trillion by 2030. This escalating prevalence poses a significant challenge to healthcare systems and insurers, particularly in the context of an aging population with multiple NCDs. Digital health technologies (DHTs) have emerged as a potential solution, offering scalability, accessibility, and cost-effectiveness. However, integrating DHTs into healthcare services remains a complex task. We conducted a semi-structured interview with an industry expert from Germany’s largest statutory health insurance group to explore this issue and derive first hypothesis for improvement. Results indicate seven key insights into Germany’s dynamic digital health ecosystem and offer critical reflections for all stakeholders, providing a foundation for further discussions and actions in this transformative field.

Type: conference contribution

Journal: Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies

URL: https://www.scitepress.org/Link.aspx?doi=10.5220/0012401500003657

DOI: 10.5220/0012401500003657

URI: https://www.alexandria.unisg.ch/handle/20.500.14171/119622

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