A major concern with integrating large language model (LLM) services (e.g., ChatGPT) into workplaces is that employees may inadvertently leak sensitive information through their prompts. Since user prompts can involve arbitrary vocabularies, conventional ...

The advances of generative AI have posed a challenge for using open-ended questions to assess conceptual learning outcomes, as it is increasingly common for students to use tools like ChatGPT to generate long textual answers. However, teachers still have ...

Regulations require video games to provide transparency regarding loot box odds to keep players informed, leading many games to disclose probabilities in various ways; yet, the extent of players' comprehension of loot box mechanics remains unclear. We ...

Software engineers’ unawareness of user feedback in earlier stages of design contributes to privacy issues in many products. Although extensive research exists on gathering and analyzing user feedback, there is limited understanding about how developers ...

Predicting users’ privacy concerns is challenging due to privacy’s subjective and complex nature. Previous research demonstrated that generic attitudes, such as those captured by Westin’s Privacy Segmentation Index, are inadequate predictors of context-...

In this paper, we studied people’s smart home privacy-protective behaviors (SH-PPBs), to gain a better understanding of their privacy management do’s and don’ts in this context. We first surveyed 159 participants and elicited 33 unique SH-PPB practices, ...

Despite widespread popularity, today's microwave ovens are limited in their cooking capabilities, given that they heat food blindly, resulting in a nonuniform and unpredictable heating distribution. We present software-defined cooking (SDC), a low-cost ...

Today, industry practitioners (e.g., data scientists, developers, product managers) rely on formal privacy reviews (a combination of user interviews, privacy risk assessments, etc.) in identifying potential customer acceptance issues with their ...

Despite slow adoption in the US, mobile payments are thede facto solution for hundreds of millions of users in China for everything from paying bills to riding buses, from sending virtual "Red Packets'' to buying money-market funds. In this paper, we use ...

Ensuring effective public understanding of algorithmic decisions that are powered by machine learning techniques has become an urgent task with the increasing deployment of AI systems into our society. In this work, we present a concrete step toward this ...

In this thesis, we plan to introduce a new IoT app development framework named Peekaboo, which aims to make it much easier for developers to get the granularity of data they actually need rather than always requesting raw data, while also offering ...

Since their introduction to the consumer market in the 1970s, microwaves have seen widespread adoption and, today, they are the third most popular domestic food heating method (after baking and grilling). Indeed, the original patents for the microwave ...

This paper presents an RF-based assistive technology for voice impairments (i.e., dysphonia), which occurs in an estimated 1% of the global population. We specifically focus on acquired voice disorders where users continue to be able to make facial and ...

Robust, wide-area sensing of human environments has been a long-standing research goal. We present Sozu, a new low-cost sensing system that can detect a wide range of events wirelessly, through walls and without line of sight, at whole-building scale. ...

Despite widespread popularity, today's microwave ovens are limited in their cooking capabilities, given that they heat food blindly, resulting in a non-uniform and unpredictable heating distribution. We present SDC (software-defined cooking), a low-cost ...

We present a demonstration of SDC, a low-cost closed-loop microwave oven system that aims to heat the food in a software-defined thermal trajectory. SDC achieves this through a novel high-resolution heat sensing and actuation system that uses microwave-...

This paper asks: "Can we push the prevailing range limits of commercial passive RFIDs?". Today's commercial passive RFIDs report ranges of 5-15 meters at best. This constrains RFIDs to be detected only at specific checkpoints in warehouses, stores and ...

Many smartphone apps collect potentially sensitive personal data and send it to cloud servers. However, most mobile users have a poor understanding of why their data is being collected. We present MobiPurpose, a novel technique that can take a network ...

We introduce RF-Wear1, a low-cost, washable and wearable solution to track movements of a user's body using passive RFIDs embedded in their clothing. RF-Wear processes wireless signals reflected off these tags to a compact single-antenna RFID reader in ...

This paper presents WiSh, a solution that makes ordinary surfaces shape-aware, relaying their real-time geometry directly to a user's handheld device. WiSh achieves this using inexpensive, light-weight and battery-free RFID tags attached to these ...