We present a human-centered designed social drone aiming to be used in human crowd environment. Based on design studies and focus groups, we created prototype of with shape, face voice for interaction. the proxemic study, comparing required distance from humans could comfortably accept compared what they would require nonsocial drone. The shaped greeting added decreased acceptable markedly, as did or previous pet ownership, maleness. also explored proximity sphere around based validation...

Gestural interaction with flying drones is now on the rise; however, little work has been done to reveal gestural preferences from users directly. In this paper, we present an elicitation study help in realizing user-defined gestures for drone navigation. We apply a user-centered approach which collected data 25 participants performing interactions twelve actions of ten are navigational actions. The analyses 300 gesture our set possible suitable control drone. report results that can be used...

The design space of social drones, where autonomous flyers operate in close proximity to human users or bystanders, is distinct from use cases involving a remote operator and/or an uninhabited environment; and warrants foregrounding human-centered concerns. Recently, research on drones has followed trend rapid growth. This paper consolidates the current state art knowledge about through review relevant studies, scaffolded by descriptive framework creation. Our analysis identified three...

In social robotics, the behavior of humanoid robots is intended to be designed in a way that they behave human-like manner and serve as natural interaction partners for human users. Several aspects such speech, gestures, eye-gaze well personal background user need therefore considered. this paper, we investigate interpersonal distance behavioral aspect varies with cultural user. We present two studies explore whether users different cultures (Arabs Germans) expect similar their own...

Recent research has focused on how to facilitate interaction between humans and robots, giving rise the field of human robot interaction. A related area is human-drone (HDI), investigating drones can be expanded in novel meaningful ways. In this work, we explore use as companions a home environment. We present three consecutive studies addressing user requirements design space companion drones. Following user-centered approach, stages include online questionnaire, workshops, simulated...

In this paper we present a study that investigates human-robot interpersonal distances and the influence of posture, either sitting or standing on distances. The is based human approaching robot human, in which human/robot maintain posture while being approached. We collected analysed data from twenty-two participants results revealed has significant impact interactions. Previous interactions with robot, lower negative attitudes towards robots also impacted Although effects gender, height...

Ameloblastoma is a benign, locally aggressive, tumor of the oral cavity having high propensity for recurrence. The growth potential linked to proliferation preexisting vasculature and reflected in CD34 expression. has been rephrased as “Mean Vascular Density (MVD) which measures expression, aids predicting this proliferation. Objectives: To evaluate biological behavior different variants according expression correlate it with age gender. Methods: present study was analytical, cross-sectional...

The potential for drones to engage with people and find applications in social contexts is often constrained by their mechanical design, leading concerns negative associations that significantly affect people’s acceptance of personal space. In this study, we explore how cues can impact the spatial dynamic Human–Drone Interaction (HDI). Within a fully immersive virtual environment, 25 participants engaged navigated around drone communicated several facial emotions on digital display such as...

In this study, we conducted a comparative analysis of traditional machine learning models and advanced deep for sentiment consumer feedback, aiming to assess their impact on business strategies. We evaluated the performance Random Forest, Support Vector Machines (SVM), Naive Bayes, BERT, GPT using comprehensive dataset derived from e-commerce platforms, social media comments, customer surveys, online forums. Our results demonstrated that while like Forest SVM achieved decent accuracy, they...

This study evaluates three machine learning clustering algorithms—K-Means, DBSCAN, and Hierarchical Clustering—for customer segmentation in the banking sector. Using a dataset of demographic, financial, transactional data, we compare algorithms based on Silhouette score Davies-Bouldin index. Clustering performed best, achieving highest (0.68) lowest index (1.15), indicating well-defined compact clusters. K-Means showed reliable performance with 0.62 but required predefined DBSCAN identified...

This study explores the use of Large Language Models (LLMs) for automating investment strategies through sentiment analysis financial news, social media, and market data. By fine-tuning models like GPT-3 on datasets, indicators are extracted integrated with traditional machine learning algorithms to predict stock price movements. A comparative various models, including LLM-based, hybrid approaches, was conducted. The results reveal that model, combining LLM-generated algorithms, outperforms...

The increasing complexity of credit risk management in banking systems has led to the adoption machine learning techniques improve prediction loan defaults. This study evaluates and compares performance several models—Logistic Regression, Random Forest, Gradient Boosting (XGBoost), Support Vector Machines (SVM), Neural Networks—in predicting risk. models were tested on a comprehensive dataset containing demographic, financial, historical data. Performance was assessed based accuracy,...

Most existing colorblind aids help their users to distinguish and recognize colors but not compare them. We present HaptiColor, an assistive wristband that encodes discrete color information into spatiotemporal vibrations support colors. ran three experiments: the first found optimal number placement of motors around wrist-worn prototype, second tested way represent points between vibration motors. Results suggested using pulses varying duration encode proximity in patterns is solution....

In this article, we present a novel application domain for human computation, specifically crowdsourcing, which can help in understanding particle-tracking problems. Through an interdisciplinary inquiry, built crowdsourcing system designed to detect tracer particles industrial tomographic images, and applied it the problem of bulk solid flow silos. As images from silo-sensing systems cannot be adequately analyzed using currently available computational methods, intelligence is required....

Depictions of robots and AIs in popular science fiction movies shows have the potential to showcase visions Human-Robot Interaction (HRI) general public computer researchers alike. In contrast, studies on referral, usage, appropriation these portrayals by scientists their research publications is an academic void at present. However, such investigations are critical better understand utility latent shortcomings for future HRI research, innovation, education. To address this gap, study...

This paper presents a study that compares humanoid robotic tutor to human when instructing school children build LEGO house. A total of 27 students, between the ages 11-15, divided into two groups, participated in and data were collected investigate participants' success rate, requests for help, engagement, attitude change toward robots following experiment. The results reveal both groups are equally successful executing task. However, students ask more often while working with eager perform...

Human-drone interaction is a growing topic of interest within HCI research. Researchers propose many innovative concepts for drone applications, but much this research does not incorporate knowledge on existing applications already adopted by professionals. This limits the validity said To address limitation, we present our findings from an in-depth interview study with 10 professional pilots. Our participants were armed significant experience and qualifications – pertinent to both...

Domestic robotic entities are on the rise, out of which, domestic drones taking place in our society as one upcoming interactive technologies that we will see daily lives. In this paper, scope for research literature addresses use within environments to understand current usage well identifying future directions. After performing a search based collection relevant papers ACM digital library (N=61 papers), analysed drone's application areas, their interaction modalities, target users, and...