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Prof. Dr. Florian Wahl

Datenanalyse
Maschinelles Lernen
Mustererkennung
Eingebettete Systeme
Ubiquitäre Computer

Fakultät Angewandte Informatik

Professorinnen und Professoren

Professor

A 011

0991/3615-8257

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Publikationen

Sortierung:

Beitrag in Sammelwerk/Tagungsband

Florian Wahl
M. Milenkovic
O. Amft

A green autonomous self-sustaining sensor node for counting people in office environments.

IEEE pg. 203-207

DOI: 10.1109/EDERC.2012.6532255

(2012)

Beitrag in Sammelwerk/Tagungsband

Florian Wahl
M. Milenkovic
O. Amft

A Distributed PIR-based Approach for Estimating People Count in Office Environments.

IEEE pg. 640-647

DOI: 10.1109/ICCSE.2012.92

(2012)

Hochschulschrift

Florian Wahl

Gauss – A Green Autonomous Ubiquitous Self-Sustaining Sensor. Master Thesis.

Technical University of Eindhoven, Eindhoven, Niederlande. Faculty of Computer Science; Faculty of Electrical Engineering

(2012)

Beitrag in Sammelwerk/Tagungsband

Florian Wahl
O. Amft

Using RFID tags as reference for phone location and orientation in daily life.

In:
A. Bulling
C. Holz
A. Schmidt

New York, NY, USA: ACM pg. 194-197

DOI: 10.1145/2459236.2459269

(2013)

Beitrag in Sammelwerk/Tagungsband

Florian Wahl
O. Amft

Personalised phone placement recognition in daily life using RFID tagging.

IEEE pg. 19-26

DOI: 10.1109/PerComW.2014.6815159

(2014)

Beitrag in Sammelwerk/Tagungsband

Florian Wahl
T. Kantermann
O. Amft

How much light do you get? Estimating daily light exposure using smartphones.

In:
M. Beigl
T. Martin
L. Dunne

New York, NY, USA: ACM pg. 43-46

DOI: 10.1145/2634317.2634346

(2014)

Beitrag in Sammelwerk/Tagungsband

Florian Wahl
M. Freund
O. Amft

WISEglass: multi-purpose context-aware smart eyeglasses.

In:
D. Gatica-Perez
M. Langheinrich
K. Mase

New York, New York, USA: ACM Press pg. 159-160

DOI: 10.1145/2802083.2808409

(2015)

Zeitschriftenartikel

O. Amft
Florian Wahl
S. Ishimaru
K. Kunze

Making Regular Eyeglasses Smart.

In: IEEE Pervasive Computing (vol. 14) , pg. 32-43

(2015)

DOI: 10.1109/MPRV.2015.60

Abstract anzeigen

The authors discuss the vast application potential of multipurpose smart eyeglasses that integrate into the form factor of traditional spectacles and provide frequently needed sensing and interaction. In combination with software apps running on smart eyeglasses, the authors develop universal assistance systems that remain unobtrusive and thus can support wearers throughout their daily life. They describe a blueprint of the embedded architecture of smart eyeglasses and identify various software app clusters. They discuss findings from using smart eyeglasses prototypes in three case studies: to recognize cognitive workload, quantify reading habits, and monitor light exposure to estimate the circadian phase. This article is part of a special issue on digitally enhanced reality.

Beitrag in Sammelwerk/Tagungsband

Florian Wahl
M. Freund
O. Amft

Using smart eyeglasses as a wearable game controller.

In:
K. Yatani
H. Gellersen
T. Choudhury
D. Gatica-Perez
M. Langheinrich
K. Mase

New York, New York, USA: ACM Press pg. 377-380

DOI: 10.1145/2800835.2800914

(2015)

Zeitschriftenartikel

Florian Wahl
J. Kasbauer
O. Amft

Computer Screen Use Detection Using Smart Eyeglasses.

In: Frontiers in ICT (vol. 4)

(2017)

DOI: 10.3389/fict.2017.00008

Abstract anzeigen

Screen use can influence the circadian phase and cause eye strain. Smart eyeglasses with an integrated color light sensor can detect screen use. We present a screen use detection approach based on a light sensor embedded into the bridge of smart eyeglasses. By calculating the light intensity at the user’s eyes for different screens and content types, we found only computer screens to have a significant impact on the circadian phase. Our screen use detection is based on ratios between color channels and used a linear support vector machine to detect screen use. We validated our detection approach in three studies. A test bench was built to detect screen use under different ambient light sources and intensities in a controlled environment. In a lab study, we evaluated recognition performance for different ambient light intensities. By using participant-independent models, we achieved an ROC AUC above 0.9 for ambient light intensities below 200 lx. In a study of typical ADLs, screen use was detected with an average ROC AUC of 0.83 assuming screen use for 30% of the time.

Zeitschriftenartikel

Florian Wahl
R. Zhang
M. Freund
O. Amft

Personalizing 3D-Printed Smart Eyeglasses to Augment Daily Life.

In: Computer (vol. 50) , pg. 26-35

(2017)

DOI: 10.1109/MC.2017.44

Abstract anzeigen

Personalized 3D-printed eyeglasses equipped with sensing functions can enhance daily life through augmenting applications that enable wearers to monitor their vitals and behavior.

Zeitschriftenartikel

Florian Wahl
O. Amft

Data and Expert Models for Sleep Timing and Chronotype Estimation from Smartphone Context Data and Simulations.

In: Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (Association for Computing Machinery, NY, USA) (vol. 2) , pg. 1-28

(2018)

DOI: 10.1145/3264949

Abstract anzeigen

We present a sleep timing estimation approach that combines data-driven estimators with an expert model and uses smartphone context data. Our data-driven methodology comprises a classifier trained on features from smartphone sensors. Another classifier uses time as input. Expert knowledge is incorporated via the human circadian and homeostatic two process model. We investigate the two process model as output filter on classifier results and as fusion method to combine sensor and time classifiers. We analyse sleep timing estimation performance, in data from a two-week free-living study of 13 participants and sensor data simulations of arbitrary sleep schedules, amounting to 98280 nights. Five intuitive sleep parameters were derived to control the simulation. Moreover, we investigate model personalisation, by retraining classifiers based on participant feedback. The joint data and expert model yields an average relative estimation error of -2±62 min for sleep onset and -5±70 min for wake (absolute errors 40±48 min and 42±57 min, mean median absolute deviation 22 min and 15 min), which significantly outperforms data-driven methods. Moreover, the data and expert models combination remains robust under varying sleep schedules. Personalising data models with user feedback from the last two days showed the largest performance gain of 57% for sleep onset and 59% for wake up. Our power-efficient smartphone app makes convenient everyday sleep monitoring finally realistic.

Hochschulschrift

Florian Wahl

Methods for monitoring the human circadian rhythm in free-living. Dissertationsschrift.

Universität Passau, Passau. Fakultät für Informatik und Mathematik

(2019)

Vortrag

Florian Wahl

Wieviel Personal brauche ich morgen?. Best Presentation Award.

Technische Hochschule Deggendorf.

Deggendorf 10.04.2019.

(2019)

Vortrag

Florian Wahl

Wieviel Personal brauche ich morgen? Nachfrageprognose in der Stückgutlogistik. Posterpräsentation.

Technische Hochschule Deggendorf.

Deggendorf 10.04.2019.

(2019)

Vortrag

Florian Wahl

Produktion 4.0 in KMUs - Datenerhebung und Datenanalyse.

KI Arbeitskreis Juni 2019.

Deggendorf 05.06.2019.

(2019)

Vortrag

Florian Wahl

Produktion 4.0 in KMUs - Datenerhebung und Datenanalyse.

XING Nutzergruppe FRG.

Schönberg 06.06.2019.

(2019)

Vortrag

Florian Wahl

Data Science with Python.

Hochschulgruppe Deggendorf der Gesellschaft für Informatik.

Deggendorf 27.06.2019.

(2019)

Vortrag

Florian Wahl

Building Industry 4.0 logistics applications with MicroPython and ESP32 MCUs.

Basel, Schweiz 11.07.2019.

(2019)

Vortrag

Michael Fernandes
Florian Wahl

Tomatenkrimi - Der Foodscanner als Ermittler. Keynote.

Grafenau 12.07.2019.

(2019)

Vortrag

Florian Wahl

Data Science with Python.

Passau 17.10.2019.

(2019)

Beitrag in Sammelwerk/Tagungsband

Florian Wahl

Methoden zum Monitoring des zirkadianen Rhythmus im Alltag.

In:
S. Hölldobler

Bonn: Gesellschaft für Informatik e.V. pg. 219-228

(2020)

Zeitschriftenartikel

Florian Wahl
Matthias Breslein
Benedikt Elser

On-demand forklift hailing system for Intralogistics 4.0.

In: Procedia Computer Science (vol. 200) , pg. 878-886

(2022)

DOI: 10.1016/j.procs.2022.01.285

Abstract anzeigen

The shift to I4.0 is happening. While large companies have a range of solutions to implement that change, small and medium-sized enterprises (SME) fall short on solutions tailored for their specific needs. To support SMEs in their transformation toward I4.0, we propose a lightweight system to hail forklifts in a production facility of a medium-sized enterprise. Existing shop floor workflows are implemented within the system and allow machine operators to hail forklift drivers using an embedded or a web-based client. Forklift drivers receive driving instructions on their smartphones. Shift managers can monitor intralogistic activities on a dashboard. Management can extract relevant production and forklift KPIs from the system. In a two-week evaluation phase, we installed our system in a production facility for injection moulded plastic parts. We equipped 12 machines and two forklifts and registered a total of 690 jobs. We found half of the jobs were picked up in 4:05 min and 80% of all jobs were completed in less than 40:02 min.

Zeitschriftenartikel

Florian Wahl
M. Freund
O. Amft

WISEglass: Smart eyeglasses recognising context.

In: EAI Endorsed Transactions on Pervasive Health and Technology (vol. 2) , pg. e4

(2022)

DOI: 10.4108/eai.28-9-2015.2261470

Abstract anzeigen

We investigated how regular eyeglasses could be extended with multi-modal sensing and processing functions to support context-awareness applications. Our aim was to leverage eyeglasses as a platform for acquiring and processing context information according to the wearer’s needs. The WISEglass architecture consists of inertial motion, environmental light, and pulse sensors, processing and wireless data transmission functionality, besides a rechargeable battery. We implemented prototypes of WISEglass and evaluated them in three application scenarios: daily activity recognition, screen-use detection, and heart rate estimation. We conducted a daily activity study with nine participants, each wearing WISEglass and recording for one day. When evaluating daily activity recognition, we obtained 77 % average accuracy for continuous recognition using Gaussian Mixture Models and classifier reject to ignore null class data. Using the light sensor for detecting screen-use, yielded 80 % accuracy. Against a chest-worn ECG reference, our heart rate estimation showed an difference below 10 beats for stationary activities across the full recording day. We concluded that smart eyeglasses provide information from a single measurement spot that is relevant in various context recognition applications.

Vortrag

Florian Wahl

Das Unterstützungspotential von KI in der Pflege.

Netzwerk Internet und Digitalisierung Ostbayern.

Passau 26.06.2022.

(2022)

Beitrag in Sammelwerk/Tagungsband

Domenic Sommer
Sebastian Wilhelm
Diane Ahrens
Florian Wahl

Implementing an Intersectoral Telemedicine Network in Rural Areas: Evaluation from the Point of View of Telemedicine Users.

pg. 15-27

DOI: 10.5220/0011755500003476

(2023)

Beitrag in Sammelwerk/Tagungsband

Domenic Sommer
Tobias Greiler
Stefan Fischer
Sebastian Wilhelm
Lisa-Marie Hanninger
Florian Wahl

Investigating Use Requirements. A Participant Observation Study to Define the Information Needs at a Hospital Reception.

In:
S. Ntoa
G. Salvendy
M. Antona
C. Stephanidis
(Short Paper).

Springer Nature Switzerland AG pg. 1-10

DOI: 10.1007/978-3-031-35992-7_23

(2023)

Zeitschriftenartikel

Roman-David Kulko
Alexander Pletl
H. Mempel
Florian Wahl
Benedikt Elser

OpenVNT: An Open Platform for VIS-NIR Technology.

In: Sensors (vol. 23) , pg. 3151

(2023)

DOI: 10.3390/s23063151

Abstract anzeigen

Spectrometers measure diffuse reflectance and create a “molecular fingerprint” of the material under investigation. Ruggedized, small scale devices for “in-field” use cases exist. Such devices might for example be used by companies in the food supply chain for inward inspection of goods. However, their application for the industrial Internet of Things workflows or scientific research is limited due to their proprietary nature. We propose an open platform for visible and near-infrared technology (OpenVNT), an open platform for capturing, transmitting, and analysing spectral measurements. It is built for use in the field, as it is battery-powered and transmits data wireless. To achieve high accuracy, the OpenVNT instrument contains two spectrometers covering a wavelength range of 400–1700 nm. We conducted a study on white grapes to compare the performance of the OpenVNT instrument against the Felix Instruments F750, an established commercial instrument. Using a refractometer as ground truth, we built and validated models to estimate the Brix value. As a quality measure, we used coefficient of determination of the cross-validation (R2CV) between the instrument estimation and ground truth. With 0.94 for the OpenVNT and 0.97 for the F750, a comparable R2CV was achieved for both instruments. OpenVNT matches the performance of commercially available instruments at one tenth of the price. We provide an open bill of materials, building instructions, firmware, and analysis software to enable research and industrial IOT solutions without the limitations of walled garden platforms.

Beitrag in Sammelwerk/Tagungsband

Sebastian Wilhelm
Jakob Folz
Florian Wahl

Open Personal Data: Anonymisierung im Spannungsfeld zwischen Informationsgehalt und Robustheit.

In:
M. Friedewald
M. Karaboga

Fraunhofer-Institut für System- und Innovationsforschung ISI pg. 36

(2023)

Beitrag in Sammelwerk/Tagungsband

Dietmar Jakob
Sebastian Wilhelm
A. Gerl
Florian Wahl
Diane Ahrens

Voice Controlled Devices: A Comparative Study of Awareness, Ownership, Usage, and Reservations Between Young and Older Adults.

In:
J. Zhou
Q. Gao

Cham: Springer Nature Switzerland vol. 14042 pg. 348-365

DOI: 10.1007/978-3-031-34866-2_25

(2023)

Vortrag

Domenic Sommer
Miloslav Kovacevic
Florian Wahl

Caregivers Workplace Expectations and Job Satisfaction. Online Survey of Caregivers In Bavaria. Abstract und Poster.

Hochschule Kempten.

Kempten 23.-24.03.2023.

(2023)

Vortrag

Florian Wahl

Das Unterstützungspotential von künstlicher Intelligenz in der Pflege.

CARE REGIO.

Kempten 24.03.2023.

(2023)

Vortrag

Florian Wahl

Unlocking the Potential of Artificial Intelligence in Care.

Institut Nationale des Sciences Appliqués (INSA) Lyon.

Lyon, France 10.05.2023.

(2023)

Vortrag

Norbert Lichtenauer
Sebastian Wilhelm
Florian Wahl

EAsyAnon – Empfehlungs- und Auditsystem zur Anonymisierung.

Bad Kötzting 16.06.2023.

(2023)

Beitrag in Sammelwerk/Tagungsband

Dietmar Jakob
Johannes Kuchler
Diane Ahrens
Florian Wahl

Activities to Encourage Older Adults’ Skills in the Use of Digital Technologies on the Example of Multigenerational Houses in Germany.

In:
J. Zhou
Q. Gao

Cham: Springer Nature Switzerland pg. 131-145

DOI: 10.1007/978-3-031-61543-6_10

(2024)

Beitrag in Sammelwerk/Tagungsband

Florian Wahl
Sebastian Wilhelm

Sensorik und künstliche Intelligenz in der Pflege.

In:
N. Seifert
W. Swoboda

Berlin, Heidelberg: Springer Berlin Heidelberg pg. 307-324

DOI: 10.1007/978-3-662-67914-2_12

(2024)

Zeitschriftenartikel

Norbert Lichtenauer
Lukas Schmidbauer
Sebastian Wilhelm
Florian Wahl

A Scoping Review on Analysis of the Barriers and Support Factors of Open Data.

In: Information (vol. 15) , pg. 5

(2024)

DOI: 10.3390/info15010005

Abstract anzeigen

ackground: Using personal data as Open Data is a pervasive topic globally, spanning various sectors and disciplines. Recent technological advancements, particularly in artificial intelligence and algorithm-driven analysis, have significantly expanded the capacity for the automated analysis of vast datasets. There’s an expectation that Open Data analysis can drive innovation, enhance services, and streamline administrative processes. However, this necessitates a legally and ethically sound framework alongside intelligent technical tools to comprehensively analyze data for societal benefit. Methodology: A systematic review across seven databases (MEDLINE, CINAHL, BASE, LIVIVO, Web of Science, IEEExplore, and ACM) was conducted to assess the current research on barriers, support factors, and options for the anonymized processing of personal data as Open Data. Additionally, a supplementary search was performed in Google Scholar. A total of 𝑛=1192 studies were identified, and 𝑛=55 met the inclusion criteria through a multi-stage selection process for further analysis. Results: Fourteen potential supporting factors (𝑛=14) and thirteen barriers (𝑛=13) to the provision and anonymization of personal data were identified. These encompassed technical prerequisites as well as institutional, personnel, ethical, and legal considerations. These findings offer insights into existing obstacles and supportive structures within Open Data processes for effective implementation.

Beitrag in Sammelwerk/Tagungsband

Domenic Sommer
Stefan Fischer
Florian Wahl

Investigating hospital service robots: A observation study about relieving information needs at the hospital reception..

In:
J. Zhou
Q. Gao

Cham: Springer Nature Switzerland pg. 395–404

DOI: 10.1007/978-3-031-61932-8_45

(2024)

Zeitschriftenartikel

Sebastian Wilhelm
Florian Wahl

Emergency Detection in Smart Homes Using Inactivity Score for Handling Uncertain Sensor Data.

In: Sensors (vol. 24)

(2024)

DOI: 10.3390/s24206583

Abstract anzeigen

In an aging society, the need for efficient emergency detection systems in smart homes is becoming increasingly important. For elderly people living alone, technical solutions for detecting emergencies are essential to receiving help quickly when needed. Numerous solutions already exist based on wearable or ambient sensors. However, existing methods for emergency detection typically assume that sensor data are error-free and contain no false positives, which cannot always be guaranteed in practice. Therefore, we present a novel method for detecting emergencies in private households that detects unusually long inactivity periods and can process erroneous or uncertain activity information. We introduce the Inactivity Score, which provides a probabilistic weighting of inactivity periods based on the reliability of sensor measurements. By analyzing historical Inactivity Scores, anomalies that potentially represent an emergency can be identified. The proposed method is compared with four related approaches on seven different datasets. Our method surpasses existing approaches when considering the number of false positives and the mean time to detect emergencies. It achieves an average detection time of approximately 05:23:28 h with only 0.09 false alarms per day under noise-free conditions. Moreover, unlike related approaches, the proposed method remains effective with noisy data.

Beitrag in Sammelwerk/Tagungsband

Sebastian Schmidt
Domenic Sommer
Tobias Greiler
Florian Wahl

hospOS: A Platform for Service Robot Orchestration in Hospitals.

SCITEPRESS - Science and Technology Publications pg. 221-228

DOI: 10.5220/0012692200003699

(2024)

Zeitschriftenartikel

Domenic Sommer
Sebastian Wilhelm
Florian Wahl

Nurses’ Workplace Perceptions in Southern Germany—Job Satisfaction and Self-Intended Retention towards Nursing.

In: Healthcare (vol. 12) , pg. 172

(2024)

DOI: 10.3390/healthcare12020172

Abstract anzeigen

Our cross-sectional study, conducted from October 2022 to January 2023, aims to assess post-COVID job satisfaction, crucial work dimensions, and self-reported factors influencing nursing retention. Using an online survey, we surveyed 2572 nurses in different working fields in Bavaria, Germany. We employed a quantitative analysis, including a multivariable regression, to assess key influence factors on nursing retention. In addition, we evaluated open-ended questions via a template analysis to use in a joint display. In the status quo, 43.2% of nurses were not committed to staying in the profession over the next 12 months. A total of 66.7% of our surveyed nurses were found to be dissatisfied with the (i) time for direct patient care. Sources of dissatisfaction above 50% include (ii) service organization, (iii) documentation, (iv) codetermination, and (v) payment. The qualitative data underline necessary improvements in these areas. Regarding retention factors, we identified that nurses with (i) older age, (ii) living alone, (iii) not working in elder care, (iv) satisfactory working hours, (v) satisfactory career choice, (vi) career opportunities, (vii) satisfactory payment, and (viii) adequate working and rest times are more likely to remain in the profession. Conversely, dissatisfaction in (ix) supporting people makes nurses more likely to leave their profession and show emotional constraints. We uncovered a dichotomy where nurses have strong empathy for their profession but yearn for improvements due to unmet expectations. Policy implications should include measures for younger nurses and those in elderly care. Nevertheless, there is a need for further research, because our research is limited by potential bias from convenience sampling, and digitalization will soon show up as a potential solution to improve, e.g., documentation and enhanced time for direct patient time.

Zeitschriftenartikel

Domenic Sommer
Lukas Schmidbauer
Florian Wahl

Nurses’ perceptions, experience and knowledge regarding artificial intelligence: results from a cross-sectional online survey in Germany.

In: BMC Nursing (vol. 23)

(2024)

DOI: 10.1186/s12912-024-01884-2

Abstract anzeigen

Background Nursing faces increasing pressure due to changing demographics and a shortage of skilled workers. Artificial intelligence (AI) offers an opportunity to relieve nurses and reduce pressure. The perception of AI by nurses is crucial for successful implementation. Due to a limited research state, our study aims to investigate nurses’ knowledge and perceptions of AI. Methods In June 2023, we conducted a cross-sectional online survey of nurses in Bavaria, Germany. A convenience sample via care facilities was used for the questionnaire oriented on existing AI surveys. Data analysis was performed descriptively, and we used a template analysis to evaluate free-text answers. Results 114 (♀67.5 %, ♂32.5 %) nurses participated. Results show that knowledge about AI is limited, as only 25.2 % can be described as AI experts. German nurses strongly associate AI with (i) computers and hardware, (ii) programming-based software, (iii) a database tool, (iv) learning, and (v) making decisions. Two-thirds of nurses report AI as an opportunity. Concerns arise as AI is seen as uncontrollable or threat. Administration staff are seen as the biggest profiteers. Conclusion Even though there is a lack of clear understanding of AI technology among nurses, the majority recognizes the benefits that AI can bring in terms of relief or support. We suggest that nurses should be better prepared for AI in the future, e.g., through training and continuing education measures. Nurses are the working group that uses AI and are crucial for implementing nursing AI.

Zeitschriftenartikel

Domenic Sommer
Jakob Kasbauer
Dietmar Jakob
Sebastian Schmidt
Florian Wahl

Potential of Assistive Robots in Clinical Nursing: An Observational Study of Nurses’ Transportation Tasks in Rural Clinics of Bavaria, Germany.

In: Nursing Reports (vol. 14) , pg. 267-286

(2024)

DOI: 10.3390/nursrep14010021

Abstract anzeigen

Transportation tasks in nursing are common, often overlooked, and directly impact patient care time in the context of staff shortages and an aging society. Current studies lack a specific focus on transportation tasks, a gap our research aims to fill. By providing detailed data on transportation needs in nursing, our study establishes a crucial foundation for the development and integration of assistive robots in clinical settings. In July and September 2023, we conducted weekly observations of nurses to assess clinical transportation needs. We aim to understand the economic impact and the methods nurses use for transportation tasks. We conducted a participant observation using a standardized app-based form over a seven-day observation period in two rural clinics. N = 1830 transports were made by nurses and examined by descriptive analysis. Non-medical supplies account for 27.05% (n = 495) of all transports, followed by medical supplies at 17.32% (n = 317), pharmacotherapy at 14.10% (n = 258) and other other categories like meals or drinks contributing 12.68% (n = 232). Most transports had a factual transport time of under a minute, with patient transport and lab samples displaying more variability. In total, 77.15% of all transports were made by hand. Requirements to collect items or connect transports with patient care were included in 5% of all transports. Our economic evaluation highlighted meals as the most costly transport, with 9596.16 € per year in the observed clinics. Budget-friendly robots would amortize these costs over one year by transporting meals. We support understanding nurses’ transportation needs via further research on assistive robots to validate our findings and determine the feasibility of transport robots.

Vortrag

Norbert Lichtenauer
Sebastian Wilhelm
Lukas Schmidbauer
Florian Wahl

EAsyAnon - Empfehlungs- und Auditsystem zur Anonymisierung. Poster: "Analysis of barriers and support factors of open data" [unveröffentlicht].

Lübeck 16.-17.04.2024.

(2024)

Vortrag

Florian Wahl

Wearables und Robotik zur Unterstützung der Pflege.

Online 18.09.2024.

(2024)

Vortrag

Florian Wahl

Bedarf und Lösungen zur zukunftsorientierten, intersektoralen regionalen Versorgung. Teilnehmer an der Podiumsdiskussion.

Online 18.09.2024.

(2024)

Vortrag

Florian Wahl

Leveraging Large Language Models in the Care Domain.

Institut Nationale des Sciences Appliqués (INSA) Lyon.

Lyon, France 11.12.2024.

(2024)

Beitrag in Sammelwerk/Tagungsband

Dietmar Jakob
Sebastian Schmidt
Florian Wahl

Planning and Installation of 5G Campus Networks in Hospitals in Rural Areas and Possible Use Cases: A Practical Example.

In:
K. Arai

Cham: Springer Nature Switzerland vol. 1284 pg. 684-705

DOI: 10.1007/978-3-031-85363-0_42

(2025)

Zeitschriftenartikel

Dietmar Jakob
Sebastian Wilhelm
A. Gerl
Diane Ahrens
Florian Wahl

Adapting Voice Assistant Technology for Older Adults: A Comprehensive Study on Usability, Learning Patterns, and Acceptance.

In: Digital (vol. 5) , pg. 4

(2025)

DOI: 10.3390/digital5010004

Abstract anzeigen

This study investigates the integration, usability, and learning patterns associated with voice assistant technology among older adults, focusing on the “Amazon Echo Show 10, 3rd generation” as a case study. Conducted with 32 participants aged 55 and above in senior and complementary households, this research employs a mixed-method approach, incorporating qualitative interviews and quantitative voice command logging over a twelve-week period. Our findings reveal a high level of learnability and usability of the voice assistant, with 90% of participants finding the device easy to learn and use. The study further explores the patterns of voice assistant use, highlighting a preference for listening to music and seeking information, predominantly on weekends. Despite initial reservations, participants reported a high satisfaction level, with most not feeling monitored by the device. Key recommendations for manufacturers include prioritizing the design and user experience to cater to older adults’ needs, aiming to enhance their digital inclusion and participation. This study contributes to the human–computer interaction (HCI) field by providing insights into older adults’ interactions with voice assistant technology, emphasizing the importance of designing accessible and user-friendly digital solutions for the aging population.

Zeitschriftenartikel

Domenic Sommer
E. Lermer
Florian Wahl
L. Lopera G.

Assistive technologies in healthcare: utilization and healthcare workers perceptions in Germany.

In: BMC Health Services Research (vol. 25) , pg. 223

(2025)

DOI: 10.1186/s12913-024-12162-x

Abstract anzeigen

BACKGROUND According to the WHO, assistive technology (AT) is defined as the superset of technologies that improve or maintain the functioning of different senses, mobility, self-care, well-being, and inclusion of patients. ATs also include technologies for healthcare workers (HCWs) to reduce workloads and improve efficiency and patient care outcomes. Software ATs for HCWs include communication software, artificial intelligence (AI), text editors, planning tools, decision support systems, and health records. Hardware ATs for HCWs can range from communication devices, sensors, and specialized medical equipment to robots. AIMS With this indicative study, we explore HCW utilization, perceptions, and adoption barriers of ATs. We emphasize ATs role in enhancing HCWs' efficiency and effectiveness in healthcare delivery. METHODS A cross-sectional online survey was conducted through August 2024 with HCWs in Bavaria via a network recruiting approach. We used convenience sampling but ensured that only HCWs were part of our study population. Our survey included (i) usage, (ii) usefulness, and (iii) perceptions regarding ATs. The survey comprised 11 close-ended and three open-ended questions, including story stems evaluated by a deductive qualitative template analysis. Our mixed-method evaluation also employed descriptive and bivariate statistics. RESULTS Three hundred seventy-one HCWs (♂63.9 %, ♀36.1 %) participated in our survey, primarily 133 administrators, 116 nurses, and 34 doctors. More than half of the study participants (58.6 %) reported having advanced technical skills. Regarding usage, communication platforms (82.2 %) and communication devices (86 %) were the most commonly used ATs. Advanced ATs such as body-worn sensors, medical devices with interfaces, identification devices, and robots were underutilized in our sample. ATs were reported to be helpful in all job roles but need improvements in capacity and integration. Key barriers to adoption included outdated infrastructure, interoperability, and a lack of training. CONCLUSION Our study suggests that HCWs may want to incorporate ATs into their workflows as they see how, in theory, these technologies would improve HCW's efficiency, resulting in better patient care. However, to realize this potential, efforts in ATs integration and accessibility are essential. Given this study's modest sample size and generalizability limitations, further research is needed to explore the adoption, implementation, and impact of ATs in healthcare.