Assignments

Course Assignments



Reading Reflections


For each of the assigned readings, each student will submit a reading reflection that contains the following three components.

Part 1: Critical Engagement with the Paper (1 paragraph): In one paragraph, critically engage with the content of the paper. You are welcome to use the following questions for guidance for this part of your reflection:

Part 2: Development of Your Own Theory (1 paragraph): In one paragraph reflect on how this paper contributes to your understanding of how people conceptualize and interact with robots as well as the theory you are developing for your final paper. Feel free to use the following questions to guide this part of your reflection:

Part 3: GenAI Use (1 sentence): In one sentence, describe whether you used genAI tools with this reading reflection and if so, how you used them. Please refer to the Use of Generative AI section of the course syllabus for the expectations of genAI use in this course.


Discussion Leadership


Each paper discussed in this course will be accompanied by 3 student-led presentations. These students will guide the class through a critical and engaging discussion. Below are the descriptions, expectations, and presentation structure for each role.

All three discussion leads will contribute to the Google Slides presentation in this Google Drive folder by 10:00am the day of class.

Role 1: The Advocate


Your goal: Your goal is to support and defend the core argument or conclusion(s) of the paper. You are to frame the paper as a valuable and valid contribution to our understanding of human-robot interaction.

Presentation objectives: In your presentation to the class, your objectives are to:

Suggested slide format:

Role 2: The Critic


Your goal: Your goal is to present a critical response to the paper. You may challenge its assumptions, methods, or conclusions. You will also be asked to provide an alternative interpretation better explains the findings or an alternative framework/model that better explains a central construct of the paper.

Presentation objectives: In your presentation to the class, your objectives are to:

Suggested slide format:

Role 3: The Literature Analyst


Your goal: Your goal is to situate the paper in the broader academic conversation: where did its ideas come from, and how have others responded to or built upon it?

Presentation objectives: In your presentation to the class, your objectives are to:

Suggested slide format:


Final Paper


The final paper for this course is your opportunity to propose a new theory that explains and predicts how humans interact with robots, with a particular focus on contributing to our understanding of when and why people engage with robots and machines as tools versus social agents.

Your theory should build upon and extend existing work in Human–Robot Interaction (HRI), psychology, cognitive science, and related areas. This includes the papers we read and discussed in class as well as other relevant literature you discover. The paper should demonstrate your ability to synthesize prior research, identify conceptual gaps, and propose a coherent theoretical framework supported by evidence and testable ideas.

As you're developing your theory and writing the final paper, I encourage you to consider the points brought up by Bartneck, C. (2023). The Dorian Gray Refutation. in his response to Clark and Fischer (2023)'s Social Robots as Depictions of Social Agents paper. He mentions three aspects that constitute a good theory:

There is no single "right" way to write a theory paper. Different papers we've read this quarter model different approaches to framing, argumentation, and structure. Feel free to use these as possible examples for how you structure your own paper.

Timeline & Grading


The following timeline outlines the key deadlines related to the final paper as well as what percentage each deliverable contributes to the final paper grade.


Due Date Time Due Final Paper Deliverable Percentage of Final Paper Grade
Fri Oct 31 6:00pm Abstract First Draft 5%
Fri Nov 7 6:00pm Updated Abstract + First Draft of Introduction, Proposed Theory, and Supporting Evidence 5%
Fri Nov 14 6:00pm Final Paper First Draft 5%
Wed Nov 19 6:00pm Provide Feedback on the Final Paper Drafts of 2 Peers in the Class 5%
Tue Dec 2 & Thu, Dec 4 During Class Student Final Paper Theory Presentations 10%
Thu, Dec 11 6:00pm Final Paper 70%

Here is a detailed rubric that outlines how each deliverable will be graded.

Suggested Paper Structure


Template: We recommend that you use the ACM SIG format ("sigconf", double column format) for your paper. Templates for this format can be found at this link.

Expected Length: We expect your paper to be 6-8 pages in length (using the specified template), excluding references.

We encourage you to include the sections listed below in your final paper. While you do not need to strictly follow this structure, you will be graded on the inclusion of the content described in each of these sections. So, feel free to use the structure that best fits your theory, making sure to cover the necessary components.

  1. Abstract: A concise (100-250 word) summary of your theory, its motivation, and its key contributions.
  2. Introduction: Motivate your proposed theory. Clearly articulate the phenomenon or question your theory seeks to explain, and why it matters. Briefly preview your theoretical contribution and its implications for understanding human-robot interaction.
  3. Background and Related Work: Review relevant existing theories and empirical work in the area. Identify the conceptual or empirical gaps that your theory aims to address. (Clark and Fischer (2023)'s Social Robots as Depictions of Social Agents paper is a strong example of how to situate a new theoretical contribution within prior work.)
  4. Proposed Theory: Lay out your theory clearly and systematically. Describe its key constructs, mechanisms, and predictions. Visual representations (e.g., conceptual diagrams or models) are encouraged if they help clarify relationships between components.
  5. Supporting Evidence: Either integrated into the previous section or presented separately, provide evidence that supports your theory (e.g., empirical studies in HRI - Thellman et al. (2022) has some great supplementary tables that might help here). Your goal here is to illustrate how your theory aligns with or extends what is already known.
  6. Proposed Empirical Studies: Outline 4-6 empirical studies that could be conducted to test your theory. For each study, briefly describe:
    • The research question or hypothesis
    • The study design (e.g., participants, methods, measures)
    • The expected results and how they would support or challenge your theory
    You don't need to fully design each study, but aim to show that your theory is testable and generates meaningful, falsifiable predictions.
  7. Discussion: Contextualize your theory in light of existing frameworks and findings. Discuss its broader implications—for example, how it might inform the design of future robots. Acknowledge potential limitations and directions for future work.
  8. Conclusion: Summarize your main arguments and restate your theory's contribution to the field.
  9. References: A standard reference list formatted according to the ACM SIG template. Your paper should have at least 20 or so references.

Final Paper Presentation


During our last week of class, you will make a 6-8 minute presentation summarizing your proposed theory (I will cut you off strictly at 8 minutes). The date and order of your presentation can be found on this Final Presentation Schedule spreadsheet. Your presentation should cover the following components:

Feedback for Peers in the Class


After each student has submitted their first draft of the final paper, you will be assigned to provide feedback on the drafts of 2 peers in the class. Use the following links to find the two peers you'll be providing feedback to and a Google Drive folder where you can find the final paper drafts. Your feedback should be constructive and aimed at helping your peers improve their papers.

You'll submit the two feedback documents on Canvas (due 6:00pm on Wed, Nov 19). After receiving all of the feedback documents, I'll send each student the feedback they received from their peers. During class on Nov 20, you will have a chance to discuss the feedback you provided and received as a way to help each of you to improve your final paper before the final submission.

The format of your feedback follows the guidelines I give for writing peer reviews. Your review is expected to be approximately 1-2 pages in length and should include all of the following elements: