Refine
H-BRS Bibliography
- yes (19)
Departments, institutes and facilities
Document Type
- Conference Object (13)
- Part of a Book (4)
- Article (2)
Language
- English (19) (remove)
Keywords
- Privacy (3)
- Trust (3)
- Adoption (2)
- Digital Sovereignty (2)
- Peer-to-Peer (2)
- Adoption Factors (1)
- Advances in Design Science Research (1)
- Appropriation (1)
- Bayesian Hierarchical Model (1)
- Blockchain (1)
- Car Telematics (1)
- Carsharing (1)
- Co-performance (1)
- Conceptual model (1)
- Consumer protection (1)
- Data Integration (1)
- Design Probe (1)
- Digital Receipt (1)
- Electric micromobility (1)
- Embodied knowledge (1)
- Food (1)
- Food Practices (1)
- Food Retail (1)
- Food literacy (1)
- Human autonomy (1)
- Human-food interaction (1)
- ICT (1)
- Individual Empowerment (1)
- Integrated Household Information System (1)
- Integration Platform as a Service (1)
- Intelligent Process Automation (1)
- Last mile problem (1)
- Marketplaces (1)
- Mixed-methods (1)
- P2P carsharing (1)
- Policy (1)
- Public Transport (1)
- Qualitative Study (1)
- Recommender Systems (1)
- Repeat Purchase Recommendations (1)
- Reputation systems (1)
- Robotic Process Automation (1)
- Scan and Go (1)
- Scoring (1)
- Self-checkout (1)
- Self-service (1)
- Shopping Experience (1)
- Software as a Service (1)
- Sustainability (1)
- User Requirements (1)
- Voice Assistants (1)
- carsharing (1)
- co-design (1)
- connected car (1)
- consumer informatics (1)
- critical consumerism (1)
- data literacy (1)
- data science (1)
- data science canvas (1)
- digital receipt (1)
- ethics (1)
- food consumption (1)
- food waste (1)
- recommender systems (1)
Trust-Building in Peer-to-Peer Carsharing: Design Case Study for Algorithm-Based Reputation Systems
(2023)
Peer-to-peer sharing platforms become increasingly important in the platform economy. From an HCI-perspective, this development is of high interest, as those platforms mediate between different users. Such mediation entails dealing with various social issues, e.g., building trust between peers online without any physical presence. Peer ratings have proven to be an important mechanism in this regard. At the same time, scoring via car telematics become more common for risk assessment by car insurances. Since user ratings face crucial problems such as fake or biased ratings, we conducted a design case study to determine whether algorithm-based scoring has the potential to improve trust-building in P2P-carsharing. We started with 16 problem-centered interviews to examine how people understand algorithm-based scoring, we co-designed an app with scored profiles, and finally evaluated it with 12 participants. Our findings show that scoring systems can support trust-building in P2P-carsharing and give insights how they should be designed.
Dynamic Programming
(2024)
Trust is the lubricant of the sharing economy, especially in peer-to-peer carsharing where you leave a valuable good to a stranger in the hope of getting it backunscathed. Central mechanisms for handling this information gap nowadays are ratings and reviews of other users. The rising of connected car technology opens new possibilities to increase trust by collecting and providing e.g. driving behavior data. At the same time, this means an intrusion into the privacy of the user. Therefore, in this work we explore technological approaches that allow building trust without violating the privacy of individuals. We evaluate to what extent blockchain technology and smart contracts are suitable technologies to meet these challengesby setting upa prototype implementation of a block-chain-based carsharing approach. In this context, we present our research approachand evaluate the prototype in terms of trust and privacy.
Since stationary self-checkout is widely introduced and well understood, previous research barely examined newer generations of smartphone-based Scan&Go. Especially from a design perspective, we know little about the factors contributing to the adoption of Scan&Go solutions and how design enables consumers to take full advantage of this development rather than being burdened with using complex and unenjoyable systems. To understand the influencing factors and the design from a consumer perspective, we conducted a mixed-methods study where we triangulated data of an online survey with 103 participants and a qualitative study with 20 participants. Based on the results, our study presents a refined and nuanced understanding of technology as well as infrastructure-related factors that influence adoption. Moreover, we present several implications for designing and implementing of Scan&Go in retail environments.
Trust your guts: fostering embodied knowledge and sustainable practices through voice interaction
(2023)
Despite various attempts to prevent food waste and motivate conscious food handling, household members find it difficult to correctly assess the edibility of food. With the rise of ambient voice assistants, we did a design case study to support households’ in situ decision-making process in collaboration with our voice agent prototype, Fischer Fritz. Therefore, we conducted 15 contextual inquiries to understand food practices at home. Furthermore, we interviewed six fish experts to inform the design of our voice agent on how to guide consumers and teach food literacy. Finally, we created a prototype and discussed with 15 consumers its impact and capability to convey embodied knowledge to the human that is engaged as sensor. Our design research goes beyond current Human-Food Interaction automation approaches by emphasizing the human-food relationship in technology design and demonstrating future complementary human-agent collaboration with the aim to increase humans’ competence to sense, think, and act.